101
|
Sayers A, Steele F, Whitehouse MR, Price A, Ben-Shlomo Y, Blom AW. Association between surgical volume and failure of primary total hip replacement in England and Wales: findings from a prospective national joint replacement register. BMJ Open 2020; 10:e033045. [PMID: 32928843 PMCID: PMC7490953 DOI: 10.1136/bmjopen-2019-033045] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE To investigate the association of volume of total hip arthroplasty (THA) between consultants and within the same consultant in the previous year and the hazard of revision using multilevel survival models. DESIGN Prospective cohort study using data from a national joint replacement register. SETTING Elective THA across all private and public centres in England and Wales between April 2003 and February 2017. PARTICIPANTS Patients aged 50 years or more undergoing THA for osteoarthritis. INTERVENTION The volume of THA conducted in the preceding 365 days to the index procedure. MAIN OUTCOME AND MEASURE Revision surgery (excision, addition or replacement) of a primary THA. RESULTS Of the 579 858 patients undergoing primary THA (mean baseline age 69.8 years (SD 10.2)), 61.1% were women. Multilevel survival found differing results for between and within-consultant effects. There was a strong volume-revision association between consultants, with a near-linear 43.3% (95% CI 29.1% to 57.4%) reduction of the risk of revision comparing consultants with volumes between 1 and 200 procedures annually. Changes in individual surgeons (within-consultant) case volume showed no evidence of an association with revision. CONCLUSION Separation of between-consultant and within-consultant effects of surgical volume reveals how volume contributes to the risk of revision after THA. The lack of association within-consultants suggests that individual changes to consultant volume alone will have little effect on outcomes following THA.These novel findings provide strong evidence supporting the practice of specialisation of hip arthroplasty. It does not support the practice of low-volume consultants increasing their personal volume as it is unlikely their results would improve if this is the only change. Limiting the exposure of patients to consultants with low volumes of THA and greater utilisation of centres with higher volume surgeons with better outcomes may be beneficial to patients.
Collapse
Affiliation(s)
- Adrian Sayers
- Musculoskeletal Research Unit, Bristol Medical School, Southmead Hospital, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Fiona Steele
- Department of Statistics, London School of Economics and Political Science, London, UK
| | - Michael R Whitehouse
- Musculoskeletal Research Unit, Bristol Medical School, Southmead Hospital, University of Bristol, Bristol, UK
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Andrew Price
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- NIHR Biomedical Research Unit, University of Oxford, Oxford, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ashley W Blom
- Musculoskeletal Research Unit, Bristol Medical School, Southmead Hospital, University of Bristol, Bristol, UK
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| |
Collapse
|
102
|
Grant R, Dowswell T, Tomlinson E, Brennan PM, Walter FM, Ben-Shlomo Y, Hunt DW, Bulbeck H, Kernohan A, Robinson T, Lawrie TA. Interventions to reduce the time to diagnosis of brain tumours. Cochrane Database Syst Rev 2020; 9:CD013564. [PMID: 32901926 PMCID: PMC8082957 DOI: 10.1002/14651858.cd013564.pub2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Brain tumours are recognised as one of the most difficult cancers to diagnose because presenting symptoms, such as headache, cognitive symptoms, and seizures, may be more commonly attributable to other, more benign conditions. Interventions to reduce the time to diagnosis of brain tumours include national awareness initiatives, expedited pathways, and protocols to diagnose brain tumours, based on a person's presenting symptoms and signs; and interventions to reduce waiting times for brain imaging pathways. If such interventions reduce the time to diagnosis, it may make it less likely that people experience clinical deterioration, and different treatment options may be available. OBJECTIVES To systematically evaluate evidence on the effectiveness of interventions that may influence: symptomatic participants to present early (shortening the patient interval), thresholds for primary care referral (shortening the primary care interval), and time to imaging diagnosis (shortening the secondary care interval and diagnostic interval). To produce a brief economic commentary, summarising the economic evaluations relevant to these interventions. SEARCH METHODS For evidence on effectiveness, we searched CENTRAL, MEDLINE, and Embase from January 2000 to January 2020; Clinicaltrials.gov to May 2020, and conference proceedings from 2014 to 2018. For economic evidence, we searched the UK National Health Services Economic Evaluation Database from 2000 to December 2014. SELECTION CRITERIA We planned to include studies evaluating any active intervention that may influence the diagnostic pathway, e.g. clinical guidelines, direct access imaging, public health campaigns, educational initiatives, and other interventions that might lead to early identification of primary brain tumours. We planned to include randomised and non-randomised comparative studies. Included studies would include people of any age, with a presentation that might suggest a brain tumour. DATA COLLECTION AND ANALYSIS Two review authors independently assessed titles identified by the search strategy, and the full texts of potentially eligible studies. We resolved discrepancies through discussion or, if required, by consulting another review author. MAIN RESULTS We did not identify any studies for inclusion in this review. We excluded 115 studies. The main reason for exclusion of potentially eligible intervention studies was their study design, due to a lack of control groups. We found no economic evidence to inform a brief economic commentary on this topic. AUTHORS' CONCLUSIONS In this version of the review, we did not identify any studies that met the review inclusion criteria for either effectiveness or cost-effectiveness. Therefore, there is no evidence from good quality studies on the best strategies to reduce the time to diagnosis of brain tumours, despite the prioritisation of research on early diagnosis by the James Lind Alliance in 2015. This review highlights the need for research in this area.
Collapse
Affiliation(s)
- Robin Grant
- Edinburgh Centre for Neuro-Oncology (ECNO), Western General Hospital, Edinburgh, UK
| | - Therese Dowswell
- C/o Cochrane Pregnancy and Childbirth Group, Department of Women's and Children's Health, The University of Liverpool, Liverpool, UK
| | - Eve Tomlinson
- Cochrane Gynaecological, Neuro-oncology and Orphan Cancers, 1st Floor Education Centre, Royal United Hospital, Bath, UK
| | - Paul M Brennan
- Translational Neurosurgery Department, Western General Hospital, Edinburgh, UK
| | - Fiona M Walter
- Public Health & Primary Care, University of Cambridge, Cambridge, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, Bristol, UK
| | - David William Hunt
- Foundation School/Dept of Clinical and Experimental Medicine, Royal Surrey County Hospital/University of Surrey, Guildford, UK
| | | | - Ashleigh Kernohan
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Tomos Robinson
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
| | | |
Collapse
|
103
|
Chen MH, Raffield LM, Mousas A, Sakaue S, Huffman JE, Moscati A, Trivedi B, Jiang T, Akbari P, Vuckovic D, Bao EL, Zhong X, Manansala R, Laplante V, Chen M, Lo KS, Qian H, Lareau CA, Beaudoin M, Hunt KA, Akiyama M, Bartz TM, Ben-Shlomo Y, Beswick A, Bork-Jensen J, Bottinger EP, Brody JA, van Rooij FJA, Chitrala K, Cho K, Choquet H, Correa A, Danesh J, Di Angelantonio E, Dimou N, Ding J, Elliott P, Esko T, Evans MK, Floyd JS, Broer L, Grarup N, Guo MH, Greinacher A, Haessler J, Hansen T, Howson JMM, Huang QQ, Huang W, Jorgenson E, Kacprowski T, Kähönen M, Kamatani Y, Kanai M, Karthikeyan S, Koskeridis F, Lange LA, Lehtimäki T, Lerch MM, Linneberg A, Liu Y, Lyytikäinen LP, Manichaikul A, Martin HC, Matsuda K, Mohlke KL, Mononen N, Murakami Y, Nadkarni GN, Nauck M, Nikus K, Ouwehand WH, Pankratz N, Pedersen O, Preuss M, Psaty BM, Raitakari OT, Roberts DJ, Rich SS, Rodriguez BAT, Rosen JD, Rotter JI, Schubert P, Spracklen CN, Surendran P, Tang H, Tardif JC, Trembath RC, Ghanbari M, Völker U, Völzke H, Watkins NA, Zonderman AB, Wilson PWF, Li Y, Butterworth AS, Gauchat JF, Chiang CWK, Li B, Loos RJF, Astle WJ, Evangelou E, van Heel DA, Sankaran VG, Okada Y, Soranzo N, Johnson AD, Reiner AP, Auer PL, Lettre G. Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations. Cell 2020; 182:1198-1213.e14. [PMID: 32888493 PMCID: PMC7480402 DOI: 10.1016/j.cell.2020.06.045] [Citation(s) in RCA: 275] [Impact Index Per Article: 68.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 04/16/2020] [Accepted: 06/29/2020] [Indexed: 12/14/2022]
Abstract
Most loci identified by GWASs have been found in populations of European ancestry (EUR). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EUR individuals, we identified 5,552 trait-variant associations at p < 5 × 10-9, including 71 novel associations not found in EUR populations. We also identified 28 additional novel variants in ancestry-specific, non-EUR meta-analyses, including an IL7 missense variant in South Asians associated with lymphocyte count in vivo and IL-7 secretion levels in vitro. Fine-mapping prioritized variants annotated as functional and generated 95% credible sets that were 30% smaller when using the trans-ethnic as opposed to the EUR-only results. We explored the clinical significance and predictive value of trans-ethnic variants in multiple populations and compared genetic architecture and the effect of natural selection on these blood phenotypes between populations. Altogether, our results for hematological traits highlight the value of a more global representation of populations in genetic studies.
Collapse
Affiliation(s)
- Ming-Huei Chen
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA 01702, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Abdou Mousas
- Montreal Heart Institute, Montreal, QC H1T 1C8, Canada
| | - Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Jennifer E Huffman
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA
| | - Arden Moscati
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bhavi Trivedi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Tao Jiang
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Parsa Akbari
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK; Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge CB2 0QQ, UK
| | | | - Erik L Bao
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02446, USA
| | - Xue Zhong
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN 37232, USA
| | - Regina Manansala
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
| | - Véronique Laplante
- Département de Pharmacologie et Physiologie, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Minhui Chen
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Ken Sin Lo
- Montreal Heart Institute, Montreal, QC H1T 1C8, Canada
| | - Huijun Qian
- Department of Statistics and Operation Research, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Caleb A Lareau
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02446, USA
| | | | - Karen A Hunt
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Masato Akiyama
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8581, Japan
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA 98101, USA
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PS, UK
| | - Andrew Beswick
- Translational Health Sciences, Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol BS10 5NB, UK
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Erwin P Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Hasso-Plattner-Institut, Universität Potsdam, Potsdam 14469, Germany
| | - Jennifer A Brody
- Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam 3015, the Netherlands
| | - Kumaraswamynaidu Chitrala
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD 21224, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA; Department of Medicine, Division on Aging, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge CB2 0QQ, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge University Hospitals, Cambridge CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Emanuele Di Angelantonio
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge CB2 0QQ, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge University Hospitals, Cambridge CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Niki Dimou
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon 69008, France; Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina 45110, Greece
| | - Jingzhong Ding
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; Imperial Biomedical Research Centre, Imperial College London and Imperial College NHS Healthcare Trust, London SW7 2AZ, UK; Medical Research Council-Public Health England Centre for Environment, Imperial College London, London SW7 2AZ, UK; UK Dementia Research Institute, Imperial College London, London SW7 2AZ, UK; Health Data Research UK - London, London SW7 2AZ, UK
| | - Tõnu Esko
- Broad Institute of Harvard and MIT, Cambridge, MA 02446, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD 21224, USA
| | - James S Floyd
- Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Epidemiology, University of Washington, Seattle, WA 98101, USA
| | - Linda Broer
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam 3015, the Netherlands
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Michael H Guo
- Broad Institute of Harvard and MIT, Cambridge, MA 02446, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Andreas Greinacher
- Institute for Immunology and Transfusion Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Jeff Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Joanna M M Howson
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; Novo Nordisk Research Centre Oxford, Innovation Building, Old Road Campus, Oxford OX3 7FZ, UK
| | - Qin Qin Huang
- Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK
| | - Wei Huang
- Department of Genetics, Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center and Shanghai Industrial Technology Institute (SITI), Shanghai 201203, China
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Tim Kacprowski
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17475, Germany; Chair of Experimental Bioinformatics, Research Group Computational Systems Medicine, Technical University of Munich, Freising-Weihenstephan 85354, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald 17475, Germany
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere 33521, Finland; Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo 108-8639, Japan
| | - Masahiro Kanai
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Savita Karthikeyan
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Fotis Koskeridis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina 45110, Greece
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
| | - Markus M Lerch
- Department of Internal Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg 2000, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Yongmei Liu
- Duke Molecular Physiology Institute, Department of Medicine, Division of Cardiology, Duke University Medical Center, Durham, NC 27701, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
| | - Hilary C Martin
- Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK
| | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo 108-8639, Japan
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
| | - Yoshinori Murakami
- Division of Molecular Pathology, The Institute of Medical Sciences, The University of Tokyo, Tokyo 108-8639, Japan
| | - Girish N Nadkarni
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Matthias Nauck
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald 17475, Germany; Institue of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Kjell Nikus
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere 33521, Finland; Department of Cardiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
| | - Willem H Ouwehand
- Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK; British Heart Foundation Centre of Research Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK; Department of Hematology, University of Cambridge, Cambridge CB2 0PT, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
| | - Michael Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bruce M Psaty
- Department of Medicine, University of Washington, Seattle, WA 98101, USA; Department of Epidemiology, University of Washington, Seattle, WA 98101, USA; Department of Health Services, University of Washington, Seattle, WA 98101, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku 20521, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku 20521, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20521, Finland
| | - David J Roberts
- The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge CB2 0QQ, UK; Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK; Department of Haematology, Churchill Hospital, Oxford OX3 7LE, UK; NHS Blood and Transplant - Oxford Centre, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
| | - Benjamin A T Rodriguez
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA 01702, USA
| | - Jonathan D Rosen
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA
| | - Cassandra N Spracklen
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01002, USA
| | - Praveen Surendran
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; Rutherford Fund Fellow, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jean-Claude Tardif
- Montreal Heart Institute, Montreal, QC H1T 1C8, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Richard C Trembath
- School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King's College London, London SE1 1UL, UK
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam 3015, the Netherlands; Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad 9177948564, Iran
| | - Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald 17475, Germany
| | - Henry Völzke
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald 17475, Germany; Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Nicholas A Watkins
- National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD 21224, USA
| | | | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Adam S Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge CB2 0QQ, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB10 1SA, UK
| | - Jean-François Gauchat
- Département de Pharmacologie et Physiologie, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA; Quantitative and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Bingshan Li
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - William J Astle
- MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge CB2 0QQ, UK; NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Strangeways Laboratory, Cambridge CB1 8RN, UK
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina 45110, Greece; Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK
| | - David A van Heel
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02446, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan; Laboratory of Statistical Immunology, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan
| | - Nicole Soranzo
- Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK; Department of Hematology, University of Cambridge, Cambridge CB2 0PT, UK
| | - Andrew D Johnson
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA 01702, USA
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98109, USA
| | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA.
| | - Guillaume Lettre
- Montreal Heart Institute, Montreal, QC H1T 1C8, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada.
| |
Collapse
|
104
|
Vuckovic D, Bao EL, Akbari P, Lareau CA, Mousas A, Jiang T, Chen MH, Raffield LM, Tardaguila M, Huffman JE, Ritchie SC, Megy K, Ponstingl H, Penkett CJ, Albers PK, Wigdor EM, Sakaue S, Moscati A, Manansala R, Lo KS, Qian H, Akiyama M, Bartz TM, Ben-Shlomo Y, Beswick A, Bork-Jensen J, Bottinger EP, Brody JA, van Rooij FJA, Chitrala KN, Wilson PWF, Choquet H, Danesh J, Di Angelantonio E, Dimou N, Ding J, Elliott P, Esko T, Evans MK, Felix SB, Floyd JS, Broer L, Grarup N, Guo MH, Guo Q, Greinacher A, Haessler J, Hansen T, Howson JMM, Huang W, Jorgenson E, Kacprowski T, Kähönen M, Kamatani Y, Kanai M, Karthikeyan S, Koskeridis F, Lange LA, Lehtimäki T, Linneberg A, Liu Y, Lyytikäinen LP, Manichaikul A, Matsuda K, Mohlke KL, Mononen N, Murakami Y, Nadkarni GN, Nikus K, Pankratz N, Pedersen O, Preuss M, Psaty BM, Raitakari OT, Rich SS, Rodriguez BAT, Rosen JD, Rotter JI, Schubert P, Spracklen CN, Surendran P, Tang H, Tardif JC, Ghanbari M, Völker U, Völzke H, Watkins NA, Weiss S, Cai N, Kundu K, Watt SB, Walter K, Zonderman AB, Cho K, Li Y, Loos RJF, Knight JC, Georges M, Stegle O, Evangelou E, Okada Y, Roberts DJ, Inouye M, Johnson AD, Auer PL, Astle WJ, Reiner AP, Butterworth AS, Ouwehand WH, Lettre G, Sankaran VG, Soranzo N. The Polygenic and Monogenic Basis of Blood Traits and Diseases. Cell 2020; 182:1214-1231.e11. [PMID: 32888494 PMCID: PMC7482360 DOI: 10.1016/j.cell.2020.08.008] [Citation(s) in RCA: 284] [Impact Index Per Article: 71.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 06/29/2020] [Accepted: 08/03/2020] [Indexed: 12/13/2022]
Abstract
Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.
Collapse
Affiliation(s)
- Dragana Vuckovic
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Erik L Bao
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA; Harvard-MIT Health Sciences and Technology, Harvard Medical School, Boston, MA, 02142, USA
| | - Parsa Akbari
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Caleb A Lareau
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Abdou Mousas
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada
| | - Tao Jiang
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK
| | - Ming-Huei Chen
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | | | - Jennifer E Huffman
- Center for Population Genomics, Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA
| | - Scott C Ritchie
- Department of Public Health and Primary Care, Cambridge Baker Systems Genomics Initiative, University of Cambridge, Cambridge, CB1 8RN, UK; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC 3004, Australia; Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK
| | - Karyn Megy
- Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK; National Institute for Health Research (NIHR) BioResource, Cambridge University Hospitals, Cambridge, CB2 0PT, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK
| | - Hannes Ponstingl
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Christopher J Penkett
- National Institute for Health Research (NIHR) BioResource, Cambridge University Hospitals, Cambridge, CB2 0PT, UK; Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK
| | - Patrick K Albers
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Emilie M Wigdor
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Arden Moscati
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Regina Manansala
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, 53201, USA
| | - Ken Sin Lo
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada
| | - Huijun Qian
- Department of Statistics and Operation Research, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Masato Akiyama
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan; Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8581, Japan
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA, 98101, USA
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1QU, UK
| | - Andrew Beswick
- Translational Health Sciences, Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, BS10 5NB, UK
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Erwin P Bottinger
- Hasso-Plattner-Institut, Universität Potsdam, Potsdam, 14469, Germany; Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Jennifer A Brody
- Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, 3015 GE, the Netherlands
| | - Kumaraswamy N Chitrala
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA
| | | | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA
| | - John Danesh
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Emanuele Di Angelantonio
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Niki Dimou
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, 69008, France; Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Jingzhong Ding
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK; Imperial Biomedical Research Centre, Imperial College London and Imperial College NHS Healthcare Trust, London, W2 1NY, UK; Medical Research Council Centre for Environment and Health, Imperial College London, London, W2 1PG, UK; UK Dementia Research Institute, Imperial College London, London, WC1E 6BT, UK; Health Data Research UK London, London, W2 1PG, UK
| | - Tõnu Esko
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA
| | - Stephan B Felix
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - James S Floyd
- Department of Medicine, University of Washington, Seattle, WA, 98101, USA; Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
| | - Linda Broer
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, 3015 GE, the Netherlands
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Michael H Guo
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Qi Guo
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Andreas Greinacher
- Institute for Immunology and Transfusion Medicine, University Medicine Greifswald, Greifswald, 17475, Germany
| | - Jeff Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98101, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Joanna M M Howson
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; Novo Nordisk Research Centre Oxford, Oxford, OX3 7FZ, UK
| | - Wei Huang
- Department of Genetics, Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center and Shanghai Industrial Technology Institute (SITI), Shanghai, 201203, China
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA
| | - Tim Kacprowski
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany; Chair of Experimental Bioinformatics, Research Group Computational Systems Medicine, Technical University of Munich, Freising-Weihenstephan, 85354, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, 33521, Finland; Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan; Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Masahiro Kanai
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Savita Karthikeyan
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Fotios Koskeridis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg, 2000, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, 27701, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22903, USA
| | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate school of Frontier Sciences, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Yoshinori Murakami
- Division of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Girish N Nadkarni
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Kjell Nikus
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, 33521, Finland; Department of Cardiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Michael Preuss
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Bruce M Psaty
- Departments of Epidemiology, University of Washington, Seattle, WA, 98101, USA; Department of Medicine, University of Washington, Seattle, WA, 98101, USA; Department of Health Services, University of Washington, Seattle, WA, 98101, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, 20521, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, 20521, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, 20521, Finland
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22903, USA
| | - Benjamin A T Rodriguez
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA
| | - Jonathan D Rosen
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA
| | - Cassandra N Spracklen
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, MA, 01002, USA
| | - Praveen Surendran
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; Department of Public Health and Primary Care, Rutherford Fund Fellow, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Jean-Claude Tardif
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, 3015 GE, the Netherlands; Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, 9177948564, Iran
| | - Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Nicholas A Watkins
- National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK
| | - Stefan Weiss
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Na Cai
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Kousik Kundu
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK
| | - Stephen B Watt
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Klaudia Walter
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA; Department of Medicine, Division on Aging, Brigham and Women's Hospital, Boston, MA, 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Yun Li
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Computer Science, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Ruth J F Loos
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Julian C Knight
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Michel Georges
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Liège, B-4000, Belgium
| | - Oliver Stegle
- European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, CB10 1SA, UK
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK; Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan; Laboratory of Statistical Immunology, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan
| | - David J Roberts
- BRC Haematology Theme and Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK; NHSBT Blood and Transplant - Oxford Center, John Radcliffe Hospital, Oxford, OX3 9BQ, UK
| | - Michael Inouye
- Department of Public Health and Primary Care, Cambridge Baker Systems Genomics Initiative, University of Cambridge, Cambridge, CB1 8RN, UK; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC 3004, Australia; Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; The Alan Turing Institute, London, NW1 2DB, UK
| | - Andrew D Johnson
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA
| | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, 53201, USA
| | - William J Astle
- MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, 98109, USA
| | - Adam S Butterworth
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Willem H Ouwehand
- Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Guillaume Lettre
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
| | - Nicole Soranzo
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK; Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK.
| |
Collapse
|
105
|
Vuckovic D, Bao EL, Akbari P, Lareau CA, Mousas A, Jiang T, Chen MH, Raffield LM, Tardaguila M, Huffman JE, Ritchie SC, Megy K, Ponstingl H, Penkett CJ, Albers PK, Wigdor EM, Sakaue S, Moscati A, Manansala R, Lo KS, Qian H, Akiyama M, Bartz TM, Ben-Shlomo Y, Beswick A, Bork-Jensen J, Bottinger EP, Brody JA, van Rooij FJA, Chitrala KN, Wilson PWF, Choquet H, Danesh J, Di Angelantonio E, Dimou N, Ding J, Elliott P, Esko T, Evans MK, Felix SB, Floyd JS, Broer L, Grarup N, Guo MH, Guo Q, Greinacher A, Haessler J, Hansen T, Howson JMM, Huang W, Jorgenson E, Kacprowski T, Kähönen M, Kamatani Y, Kanai M, Karthikeyan S, Koskeridis F, Lange LA, Lehtimäki T, Linneberg A, Liu Y, Lyytikäinen LP, Manichaikul A, Matsuda K, Mohlke KL, Mononen N, Murakami Y, Nadkarni GN, Nikus K, Pankratz N, Pedersen O, Preuss M, Psaty BM, Raitakari OT, Rich SS, Rodriguez BAT, Rosen JD, Rotter JI, Schubert P, Spracklen CN, Surendran P, Tang H, Tardif JC, Ghanbari M, Völker U, Völzke H, Watkins NA, Weiss S, Cai N, Kundu K, Watt SB, Walter K, Zonderman AB, Cho K, Li Y, Loos RJF, Knight JC, Georges M, Stegle O, Evangelou E, Okada Y, Roberts DJ, Inouye M, Johnson AD, Auer PL, Astle WJ, Reiner AP, Butterworth AS, Ouwehand WH, Lettre G, Sankaran VG, Soranzo N. The Polygenic and Monogenic Basis of Blood Traits and Diseases. Cell 2020. [PMID: 32888494 DOI: 10.1016/j.cell.2020.08.008ll] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.
Collapse
Affiliation(s)
- Dragana Vuckovic
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Erik L Bao
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA; Harvard-MIT Health Sciences and Technology, Harvard Medical School, Boston, MA, 02142, USA
| | - Parsa Akbari
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Caleb A Lareau
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Abdou Mousas
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada
| | - Tao Jiang
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK
| | - Ming-Huei Chen
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | | | - Jennifer E Huffman
- Center for Population Genomics, Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA
| | - Scott C Ritchie
- Department of Public Health and Primary Care, Cambridge Baker Systems Genomics Initiative, University of Cambridge, Cambridge, CB1 8RN, UK; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC 3004, Australia; Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK
| | - Karyn Megy
- Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK; National Institute for Health Research (NIHR) BioResource, Cambridge University Hospitals, Cambridge, CB2 0PT, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK
| | - Hannes Ponstingl
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Christopher J Penkett
- National Institute for Health Research (NIHR) BioResource, Cambridge University Hospitals, Cambridge, CB2 0PT, UK; Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK
| | - Patrick K Albers
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Emilie M Wigdor
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Arden Moscati
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Regina Manansala
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, 53201, USA
| | - Ken Sin Lo
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada
| | - Huijun Qian
- Department of Statistics and Operation Research, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Masato Akiyama
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan; Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8581, Japan
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA, 98101, USA
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1QU, UK
| | - Andrew Beswick
- Translational Health Sciences, Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, BS10 5NB, UK
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Erwin P Bottinger
- Hasso-Plattner-Institut, Universität Potsdam, Potsdam, 14469, Germany; Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Jennifer A Brody
- Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, 3015 GE, the Netherlands
| | - Kumaraswamy N Chitrala
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA
| | | | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA
| | - John Danesh
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Emanuele Di Angelantonio
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Niki Dimou
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, 69008, France; Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Jingzhong Ding
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK; Imperial Biomedical Research Centre, Imperial College London and Imperial College NHS Healthcare Trust, London, W2 1NY, UK; Medical Research Council Centre for Environment and Health, Imperial College London, London, W2 1PG, UK; UK Dementia Research Institute, Imperial College London, London, WC1E 6BT, UK; Health Data Research UK London, London, W2 1PG, UK
| | - Tõnu Esko
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA
| | - Stephan B Felix
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - James S Floyd
- Department of Medicine, University of Washington, Seattle, WA, 98101, USA; Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
| | - Linda Broer
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, 3015 GE, the Netherlands
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Michael H Guo
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Qi Guo
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Andreas Greinacher
- Institute for Immunology and Transfusion Medicine, University Medicine Greifswald, Greifswald, 17475, Germany
| | - Jeff Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98101, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Joanna M M Howson
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; Novo Nordisk Research Centre Oxford, Oxford, OX3 7FZ, UK
| | - Wei Huang
- Department of Genetics, Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center and Shanghai Industrial Technology Institute (SITI), Shanghai, 201203, China
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA
| | - Tim Kacprowski
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany; Chair of Experimental Bioinformatics, Research Group Computational Systems Medicine, Technical University of Munich, Freising-Weihenstephan, 85354, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, 33521, Finland; Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan; Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Masahiro Kanai
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Savita Karthikeyan
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Fotios Koskeridis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg, 2000, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, 27701, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22903, USA
| | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate school of Frontier Sciences, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Yoshinori Murakami
- Division of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Girish N Nadkarni
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Kjell Nikus
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, 33521, Finland; Department of Cardiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Michael Preuss
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Bruce M Psaty
- Departments of Epidemiology, University of Washington, Seattle, WA, 98101, USA; Department of Medicine, University of Washington, Seattle, WA, 98101, USA; Department of Health Services, University of Washington, Seattle, WA, 98101, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, 20521, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, 20521, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, 20521, Finland
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22903, USA
| | - Benjamin A T Rodriguez
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA
| | - Jonathan D Rosen
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA
| | - Cassandra N Spracklen
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, MA, 01002, USA
| | - Praveen Surendran
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; Department of Public Health and Primary Care, Rutherford Fund Fellow, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Jean-Claude Tardif
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, 3015 GE, the Netherlands; Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, 9177948564, Iran
| | - Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Nicholas A Watkins
- National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK
| | - Stefan Weiss
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Na Cai
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Kousik Kundu
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK
| | - Stephen B Watt
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Klaudia Walter
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA; Department of Medicine, Division on Aging, Brigham and Women's Hospital, Boston, MA, 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Yun Li
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Computer Science, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Ruth J F Loos
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Julian C Knight
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Michel Georges
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Liège, B-4000, Belgium
| | - Oliver Stegle
- European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, CB10 1SA, UK
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK; Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan; Laboratory of Statistical Immunology, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan
| | - David J Roberts
- BRC Haematology Theme and Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK; NHSBT Blood and Transplant - Oxford Center, John Radcliffe Hospital, Oxford, OX3 9BQ, UK
| | - Michael Inouye
- Department of Public Health and Primary Care, Cambridge Baker Systems Genomics Initiative, University of Cambridge, Cambridge, CB1 8RN, UK; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC 3004, Australia; Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; The Alan Turing Institute, London, NW1 2DB, UK
| | - Andrew D Johnson
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA
| | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, 53201, USA
| | - William J Astle
- MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, 98109, USA
| | - Adam S Butterworth
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Willem H Ouwehand
- Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Guillaume Lettre
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
| | - Nicole Soranzo
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK; Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK.
| |
Collapse
|
106
|
Sayers A, Whitehouse MR, Judge A, MacGregor AJ, Blom AW, Ben-Shlomo Y. Analysis of change in patient-reported outcome measures with floor and ceiling effects using the multilevel Tobit model: a simulation study and an example from a National Joint Register using body mass index and the Oxford Hip Score. BMJ Open 2020; 10:e033646. [PMID: 32859657 PMCID: PMC7454239 DOI: 10.1136/bmjopen-2019-033646] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVES This study has three objectives. (1) Investigate the association between body mass index (BMI) and the efficacy of primary hip replacement using a patient-reported outcome measure (PROMs) with a measurement floor and ceiling, (2) Explore the performance of different estimation methods to estimate change in PROMs score following surgery using a simulation study and real word data where data has measurement floors and ceilings and (3) Lastly, develop guidance for practising researchers on the analysis of PROMs in the presence of floor and ceiling effects. DESIGN Simulation study and prospective national medical device register. SETTING National Register of Joint Replacement and Medical Devices. METHODS Using a Monte Carlo simulation study and data from a national joint replacement register (162 513 patients with pre- and post-surgery PROMs), we investigate simple approaches for the analysis of outcomes with floor and ceiling effects that are measured at two occasions: linear and Tobit regression (baseline adjusted analysis of covariance, change-score analysis, post-score analysis) in addition to linear and multilevel Tobit models. PRIMARY OUTCOME The primary outcome of interest is change in PROMs from pre-surgery to 6 months post-surgery. RESULTS Analysis of data with floor and ceiling effects with models that fail to account for these features induce substantial bias. Single-level Tobit models only correct for floor or ceiling effects when the exposure of interest is not associated with the baseline score. In observational data scenarios, only multilevel Tobit models are capable of providing unbiased inferences. CONCLUSIONS Inferences from pre- post-studies that fail to account for floor and ceiling effects may induce spurious associations with substantial risk of bias. Multilevel Tobit models indicate the efficacy of total hip replacement is independent of BMI. Restricting access to total hip replacement based on a patients BMI can not be supported by the data.
Collapse
Affiliation(s)
- Adrian Sayers
- Musculoskeletal Research Unit, Bristol Medical School, 1st Floor Learning & Research Building, Southmead Hospital, University of Bristol, Bristol, BS10 5NB, UK
- Population Health Sciences, Bristol Medical School, Canynge Hall, 39 Whatley Road, University of Bristol, Bristol, BS8 2PS, UK
| | - Michael R Whitehouse
- Musculoskeletal Research Unit, Bristol Medical School, 1st Floor Learning & Research Building, Southmead Hospital, University of Bristol, Bristol, BS10 5NB, UK
- National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, Bristol, UK
| | - Andrew Judge
- Musculoskeletal Research Unit, Bristol Medical School, 1st Floor Learning & Research Building, Southmead Hospital, University of Bristol, Bristol, BS10 5NB, UK
- National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, Bristol, UK
| | | | - Ashley W Blom
- National Institute for Health Research Bristol Biomedical Research Centre, University of Bristol, Bristol, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, Canynge Hall, 39 Whatley Road, University of Bristol, Bristol, BS8 2PS, UK
| |
Collapse
|
107
|
Newman AB, Kritchevsky SB, Guralnik JM, Cummings SR, Salive M, Kuchel GA, Schrack J, Morris MC, Weir D, Baccarelli A, Murabito JM, Ben-Shlomo Y, Espeland MA, Kirkland J, Melzer D, Ferrucci L. Accelerating the Search for Interventions Aimed at Expanding the Health Span in Humans: The Role of Epidemiology. J Gerontol A Biol Sci Med Sci 2020; 75:77-86. [PMID: 31722007 DOI: 10.1093/gerona/glz230] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Extensive work in basic and clinical science suggests that biological mechanisms of aging are causally related to the development of disease and disability in late life. Modulation of the biological mechanisms of aging can extend both life span and health span in animal models, but translation to humans has been slow. METHODS Summary of workshop proceedings from the 2018-2019 Epidemiology of Aging Workshop hosted by the Intramural Research Program at the National Institute on Aging. RESULTS Epidemiologic studies play a vital role to progress in this field, particularly in evaluating new risk factors and measures of biologic aging that may influence health span, as well as developing relevant outcome measures that are robust and relevant for older individuals. CONCLUSIONS Appropriately designed epidemiological studies are needed to identify targets for intervention and to inform study design and sample size estimates for future clinical trials designed to promote health span.
Collapse
Affiliation(s)
- Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.,Department of Geriatric Medicine, School of Medicine, University of Pittsburgh, Pennsylvania
| | - Stephen B Kritchevsky
- Sticht Center for Health Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jack M Guralnik
- Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland
| | - Steven R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute San Fransisco, California, Bethesda, Maryland
| | - Marcel Salive
- National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - George A Kuchel
- University of Connecticut Center on Aging, University of Connecticut Health, Farmington, CT, Baltimore, Maryland
| | - Jennifer Schrack
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Martha Clare Morris
- Department of Internal Medicine, Rush Medical College, Rush University, Chicago, Illinois
| | - David Weir
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, New York, New York
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, New York
| | - Joanne M Murabito
- Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK.,National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West), University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Mark A Espeland
- Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - James Kirkland
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, Minnesota
| | - David Melzer
- College of Medicine and Health, University of Exeter, Exeter, UK.,Center on Aging, School of Medicine, University of Connecticut, Farmington, Connecticut
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| |
Collapse
|
108
|
Rodriguez BA, Bhan A, Beswick A, Elwood PC, Niiranen TJ, Salomaa V, Trégouët DA, Morange PE, Civelek M, Ben-Shlomo Y, Schlaeger T, Chen MH, Johnson AD, Johnson AD. A Platelet Function Modulator of Thrombin Activation Is Causally Linked to Cardiovascular Disease and Affects PAR4 Receptor Signaling. Am J Hum Genet 2020; 107:211-221. [PMID: 32649856 DOI: 10.1016/j.ajhg.2020.06.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 06/03/2020] [Indexed: 12/17/2022] Open
Abstract
Dual antiplatelet therapy reduces ischemic events in cardiovascular disease, but it increases bleeding risk. Thrombin receptors PAR1 and PAR4 are drug targets, but the role of thrombin in platelet aggregation remains largely unexplored in large populations. We performed a genome-wide association study (GWAS) of platelet aggregation in response to full-length thrombin, followed by clinical association analyses, Mendelian randomization, and functional characterization including iPSC-derived megakaryocyte and platelet experiments. We identified a single sentinel variant in the GRK5 locus (rs10886430-G, p = 3.0 × 10-42) associated with increased thrombin-induced platelet aggregation (β = 0.70, SE = 0.05). We show that disruption of platelet GRK5 expression by rs10886430-G is associated with enhanced platelet reactivity. The proposed mechanism of a GATA1-driven megakaryocyte enhancer is confirmed in allele-specific experiments. Utilizing further data, we demonstrate that the allelic effect is highly platelet- and thrombin-specific and not likely due to effects on thrombin levels. The variant is associated with increased risk of cardiovascular disease outcomes in UK BioBank, most strongly with pulmonary embolism. The variant associates with increased risk of stroke in the MEGASTROKE, UK BioBank, and FinnGen studies. Mendelian randomization analyses in independent samples support a causal role for rs10886430-G in increasing risk for stroke, pulmonary embolism, and venous thromboembolism through its effect on thrombin-induced platelet reactivity. We demonstrate that G protein-coupled receptor kinase 5 (GRK5) promotes platelet activation specifically via PAR4 receptor signaling. GRK5 inhibitors in development for the treatment of heart failure and cancer could have platelet off-target deleterious effects. Common variants in GRK5 may modify clinical outcomes with PAR4 inhibitors, and upregulation of GRK5 activity or signaling in platelets may have therapeutic benefits.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Andrew D Johnson
- National Heart, Lung, and Blood Institute, Division of Intramural Research, Population Sciences Branch, The Framingham Heart Study, Framingham, MA 01702, USA.
| |
Collapse
|
109
|
Anderson EL, Howe LD, Wade KH, Ben-Shlomo Y, Hill WD, Deary IJ, Sanderson EC, Zheng J, Korologou-Linden R, Stergiakouli E, Davey Smith G, Davies NM, Hemani G. Education, intelligence and Alzheimer's disease: evidence from a multivariable two-sample Mendelian randomization study. Int J Epidemiol 2020; 49:1163-1172. [PMID: 32003800 PMCID: PMC7660137 DOI: 10.1093/ije/dyz280] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/03/2020] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVES To examine whether educational attainment and intelligence have causal effects on risk of Alzheimer's disease (AD), independently of each other. DESIGN Two-sample univariable and multivariable Mendelian randomization (MR) to estimate the causal effects of education on intelligence and vice versa, and the total and independent causal effects of both education and intelligence on AD risk. PARTICIPANTS 17 008 AD cases and 37 154 controls from the International Genomics of Alzheimer's Project (IGAP) consortium. MAIN OUTCOME MEASURE Odds ratio (OR) of AD per standardized deviation increase in years of schooling (SD = 3.6 years) and intelligence (SD = 15 points on intelligence test). RESULTS There was strong evidence of a causal, bidirectional relationship between intelligence and educational attainment, with the magnitude of effect being similar in both directions [OR for intelligence on education = 0.51 SD units, 95% confidence interval (CI): 0.49, 0.54; OR for education on intelligence = 0.57 SD units, 95% CI: 0.48, 0.66]. Similar overall effects were observed for both educational attainment and intelligence on AD risk in the univariable MR analysis; with each SD increase in years of schooling and intelligence, odds of AD were, on average, 37% (95% CI: 23-49%) and 35% (95% CI: 25-43%) lower, respectively. There was little evidence from the multivariable MR analysis that educational attainment affected AD risk once intelligence was taken into account (OR = 1.15, 95% CI: 0.68-1.93), but intelligence affected AD risk independently of educational attainment to a similar magnitude observed in the univariate analysis (OR = 0.69, 95% CI: 0.44-0.88). CONCLUSIONS There is robust evidence for an independent, causal effect of intelligence in lowering AD risk. The causal effect of educational attainment on AD risk is likely to be mediated by intelligence.
Collapse
Affiliation(s)
- Emma L Anderson
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Laura D Howe
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Kaitlin H Wade
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - W David Hill
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Eleanor C Sanderson
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Jie Zheng
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Roxanna Korologou-Linden
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Evie Stergiakouli
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
- School of Oral and Dental Sciences, University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Neil M Davies
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Gibran Hemani
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| |
Collapse
|
110
|
Glynn J, Hollingworth W, Bhimjiyani A, Ben-Shlomo Y, Gregson CL. How does deprivation influence secondary care costs after hip fracture? Osteoporos Int 2020; 31:1573-1585. [PMID: 32240332 DOI: 10.1007/s00198-020-05404-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 03/26/2020] [Indexed: 10/24/2022]
Abstract
UNLABELLED We studied the association between deprivation and healthcare costs after hip fracture. Hospital costs in the year following hip fracture were £1120 higher for those living in more deprived areas. Most of this difference was explained by pre-existing health inequalities which should be targeted to reduce this disparity. INTRODUCTION To quantify differences in hospital costs following hip fracture between those living in higher and lower deprivation areas of England, we investigate pre- and post-fracture variables that explain the association. METHODS We used English Hospital Episodes Statistics linked to the National Hip Fracture Database (April 2011-March 2015) and national mortality data to identify patients admitted with hip fracture aged 60+ years. Hospital care was costed using 2017/2018 national reference costs, by index of multiple deprivation quintile. Three generalised linear model regressions estimated associations between deprivation and costs and the pre- and post-fracture variables that mediate this relationship. RESULTS Patients from the most deprived areas had higher hospital costs in the year post-fracture (£1,120; 95% CI £993 to £1,247) than those from the least deprived areas. If all patients could have incurred similar costs to those in the least deprived quintile, this would equate to an annual reduction in expenditure of £28.8 million. Pre-fracture characteristics, particularly comorbidities and anaesthetic risk grade, accounted for approximately 50% of the association between deprivation and costs. No evidence was found that post-fracture variables, such as transfer to a residential or nursing home, contributed to the association between deprivation and costs. CONCLUSIONS Socioeconomic inequalities are associated with substantial costs for the NHS after hip fracture. We did not identify post-fracture targets for intervention to reduce the impact of inequalities on post-fracture costs. The case for interventions to reduce comorbid conditions, improve health-related behaviours and prevent falls in deprived areas is clear but challenging to implement.
Collapse
Affiliation(s)
- J Glynn
- Health Economics at Bristol, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK.
| | - W Hollingworth
- Health Economics at Bristol, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK
| | - A Bhimjiyani
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Y Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - C L Gregson
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK
| |
Collapse
|
111
|
Kinra S, Mallinson PAC, Cresswell JA, Bowen LJ, Lyngdoh T, Prabhakaran D, Reddy KS, Vaz M, Kurpad AV, Davey Smith G, Ben-Shlomo Y, Ebrahim S. Relative contribution of diet and physical activity to increased adiposity among rural to urban migrants in India: A cross-sectional study. PLoS Med 2020; 17:e1003234. [PMID: 32764760 PMCID: PMC7413404 DOI: 10.1371/journal.pmed.1003234] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 07/08/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND In common with many other low- and middle-income countries (LMICs), rural to urban migrants in India are at increased risk of obesity, but it is unclear whether this is due to increased energy intake, reduced energy expenditure, or both. Knowing this and the relative contribution of specific dietary and physical activity behaviours to greater adiposity among urban migrants could inform policies for control of the obesity epidemic in India and other urbanising LMICs. In the Indian Migration Study, we previously found that urban migrants had greater prevalence of obesity and diabetes compared with their nonmigrant rural-dwelling siblings. In this study, we investigated the relative contribution of energy intake and expenditure and specific diet and activity behaviours to greater adiposity among urban migrants in India. METHODS AND FINDINGS The Indian Migration Study was conducted between 2005 and 2007. Factory workers and their spouses from four cities in north, central, and south of India, together with their rural-dwelling siblings, were surveyed. Self-reported data on diet and physical activity was collected using validated questionnaires, and adiposity was estimated from thickness of skinfolds. The association of differences in dietary intake, physical activity, and adiposity between siblings was examined using multivariable linear regression. Data on 2,464 participants (median age 43 years) comprised of 1,232 sibling pairs (urban migrant and their rural-dwelling sibling) of the same sex (31% female) were analysed. Compared with the rural siblings, urban migrants had 18% greater adiposity, 12% (360 calories/day) more energy intake, and 18% (11 kilojoules/kg/day) less energy expenditure (P < 0.001 for all). Energy intake and expenditure were independently associated with increased adiposity of urban siblings, accounting for 4% and 6.5% of adiposity difference between siblings, respectively. Difference in dietary fat/oil (10 g/day), time spent engaged in moderate or vigorous activity (69 minutes/day), and watching television (30 minutes/day) were associated with difference in adiposity between siblings, but no clear association was observed for intake of fruits and vegetables, sugary foods and sweets, cereals, animal and dairy products, and sedentary time. The limitations of this study include a cross-sectional design, systematic differences in premigration characteristics of migrants and nonmigrants, low response rate, and measurement error in estimating diet and activity from questionnaires. CONCLUSIONS We found that increased energy intake and reduced energy expenditure contributed equally to greater adiposity among urban migrants in India. Policies aimed at controlling the rising prevalence of obesity in India and potentially other urbanising LMICs need to be multicomponent, target both energy intake and expenditure, and focus particularly on behaviours such as dietary fat/oil intake, time spent on watching television, and time spent engaged in moderate or vigorous intensity physical activity.
Collapse
Affiliation(s)
- Sanjay Kinra
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Poppy Alice Carson Mallinson
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Jenny A. Cresswell
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Liza J. Bowen
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | | | | | | | - Mario Vaz
- St John’s Research Institute, St John’s National Academy of Health Sciences, Bangalore, India
| | - Anura V. Kurpad
- St John’s Research Institute, St John’s National Academy of Health Sciences, Bangalore, India
| | - George Davey Smith
- Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Shah Ebrahim
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| |
Collapse
|
112
|
Karumbi J, Davids MR, Effa EE, Ben-Shlomo Y. Less intensive versus conventional haemodialysis for people with end-stage kidney disease. Hippokratia 2020. [DOI: 10.1002/14651858.cd013671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Jamlick Karumbi
- East African Kidney Institute; Ministry of Health Kenya; Nairobi Kenya
| | - Mogamat Razeen Davids
- Division of Nephrology; Stellenbosch University and Tygerberg Hospital; Cape Town South Africa
| | - Emmanuel E Effa
- Internal Medicine; College of Medical Sciences, University of Calabar; Calabar Nigeria
| | - Yoav Ben-Shlomo
- Department of Population Health Sciences; University of Bristol; Bristol UK
| |
Collapse
|
113
|
Kinra S, Gregson J, Prabhakaran P, Gupta V, Walia GK, Bhogadi S, Gupta R, Aggarwal A, Mallinson PAC, Kulkarni B, Prabhakaran D, Davey Smith G, Radha Krishna KV, Ebrahim S, Kuper H, Ben-Shlomo Y. Effect of supplemental nutrition in pregnancy on offspring's risk of cardiovascular disease in young adulthood: Long-term follow-up of a cluster trial from India. PLoS Med 2020; 17:e1003183. [PMID: 32692751 PMCID: PMC7373266 DOI: 10.1371/journal.pmed.1003183] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 06/16/2020] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Undernutrition during intrauterine life and early childhood is hypothesised to increase the risk of cardiovascular disease (Developmental Origins of Health and Disease Hypothesis), but experimental evidence from humans is limited. This hypothesis has major implications for control of the cardiovascular disease epidemic in South Asia (home to a quarter of world's population), where a quarter of newborns have low birth weight. We investigated whether, in an area with prevalent undernutrition, supplemental nutrition offered to pregnant women and their offspring below the age of 6 years was associated with a lower risk of cardiovascular disease in the offspring when they were young adults. METHODS AND FINDINGS The Hyderabad Nutrition Trial was a community-based nonrandomised controlled intervention trial conducted in 29 villages near Hyderabad, India (1987-1990). Protein-calorie food supplement was offered daily to pregnant and lactating women (2.09 MJ energy and 20-25 g protein) and their offspring (1.25 MJ energy and 8-10 g protein) until the age of six years in the 15 intervention villages, but not in the 14 control villages. A total of 1,826 participants (949 from the intervention villages and 877 from the control villages, representing 70% of the cohort) at a mean age of 21.6 years (62% males) were examined between 2009 and 2012. The mean body mass index (BMI) of the participants was 20 kg/m2 and the mean systolic blood pressure was 115 mm Hg. The age, sex, socioeconomic position, and urbanisation-adjusted effects of intervention (beta coefficients and 95% confidence intervals) on outcomes were as follows: carotid intima-media thickness, 0.01 mm (-0.01 to 0.03), p = 0.36; arterial stiffness (augmentation index), -1.1% (-2.5 to 0.3), p = 0.097; systolic blood pressure, 0.5 mm Hg (-0.6 to 1.6), p = 0.36; BMI, -0.13 kg/m2 (-0.75 to 0.09), p = 0.093; low-density lipoprotein (LDL) cholesterol, 0.06 mmol/L (-0.07 to 0.2), p = 0.37; and fasting insulin (log), -0.06 mU/L (-0.19 to 0.07), p = 0.43. The limitations of this study include nonrandomised allocation of intervention and lack of data on compliance, and potential for selection bias due to incomplete follow-up. CONCLUSIONS Our results showed that in an area with prevalent undernutrition, protein-calorie food supplements offered to pregnant women and their offspring below the age of 6 years were not associated with lower levels of cardiovascular risk factors among offspring when they were young adults. Our findings, coupled with evidence from other intervention studies to date, suggest that policy makers should attach limited value to cardiovascular health benefits of maternal and child protein-calorie food supplementation programmes.
Collapse
Affiliation(s)
- Sanjay Kinra
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - John Gregson
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | | | - Vipin Gupta
- Department of Anthropology, University of Delhi, Delhi, India
| | | | | | - Ruby Gupta
- Public Health Foundation of India, Delhi, India
| | | | - Poppy Alice Carson Mallinson
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | | | | | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | | | - Shah Ebrahim
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Hannah Kuper
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, United Kingdom
| |
Collapse
|
114
|
Wong K, Caskey F, Ben-Shlomo Y, Casula A, Bailey P. P1660ACCESS TO KIDNEY TRANSPLANTATION IN THE UK CHINESE POPULATION: A UK RENAL REGISTRY ANALYSIS. Nephrol Dial Transplant 2020. [DOI: 10.1093/ndt/gfaa142.p1660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background and Aims
Previous UK Renal Registry (UKRR) analyses and the Access to Transplantation and Transplant Outcome Measures (ATTOM) study have shown ethnic disparity in access to kidney transplants in the UK, but access to transplantation for the UK Chinese population has not been investigated
In this UKRR analysis, we compared the likelihood of kidney transplantation between the UK White and UK Chinese renal populations, aiming to investigate whether there was evidence of ethnic disparity in access to kidney transplantation for this specific ethnic group.
Method
Data on all adult patients >=18 years who started renal replacement therapy (RRT) between 1/1/97 and 31/12/16 were extracted from the UKRR. Patients with ethnicity recorded as anything other than “Chinese” or “White” were excluded from analysis. Patients with ethnicity data missing were also excluded. Patients aged >= 75 years at the start of RRT were excluded because of the high prevalence of comorbidity which decreases the likelihood of transplantation and the very small proportion of patients receiving a kidney transplant in the UK in this age group. Socioeconomic status (SES) was measured using country-specific Index of Multiple Deprivation (IMD) quintiles derived from patient postcodes (1= most deprived, 5= least deprived).
The independent variable of interest was Chinese ethnicity (Chinese vs White). Multivariable logistic regression models were used to investigate the relationship between Chinese ethnicity and being listed on the deceased donor transplant waiting list i) at start of RRT ii) 2 years after start of RRT iii) pre-emptive kidney transplantation, iv) kidney transplantation at 3 years after start of RRT, and v) living-donor kidney transplantation. The models were run unadjusted and then adjusted for the confounders, specified a priori, age, sex, primary renal disease and SES. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using robust standard errors to account for clustering by renal centre.
Results
The dataset comprised of 92,857 incident RRT patients. 0.5% (n=501) were of Chinese ethnicity, 76% (n=70,575) were White. The findings of the multivariable logistic regression analyses are presented in Table 1. Even after adjustment for potential confounders UK Chinese patients had lower odds of being waitlisted at the start of RRT (OR 0.71, [95% CI 0.54-0.94]) but were more likely to be waitlisted at 2 years (OR 1.28, [95% CI 1.02-1.61]) compared to White patients. UK Chinese individuals were also less likely to receive a pre-emptive kidney transplant (OR 0.47, [95% CI 0.29-0.78]), less likely to be transplanted within 3 years of starting RRT (OR 0.69, [95% CI 0.52-0.92]) or have a living-donor kidney transplant(LDKT) (OR 0.39, [95% CI 0.26-0.59]) compared to White patients.
Conclusion
This is the first study that has shown that UK Chinese renal patients are less likely to have the opportunity to receive a living or deceased kidney transplant. Future research needs to test whether later presentation or more rapid progression of renal disease could explain these observations. The higher odds of transplant listing at 2 years suggests fitness for transplantation is not a significant barrier. The reasons why this ethnic group are less likely to receive a LDKT is also not well understood. Understanding whether these disparities reflect modifiable policy, health system or donor/recipient level barriers will help ensure equitable access to transplantation.
Collapse
Affiliation(s)
- Katie Wong
- University of Bristol, United Kingdom
- Southmead Hospital, United Kingdom
| | - Fergus Caskey
- University of Bristol, United Kingdom
- Southmead Hospital, United Kingdom
| | | | - Anna Casula
- United Kingdom Renal Registry, Bristol, United Kingdom
| | - Pippa Bailey
- University of Bristol, United Kingdom
- Southmead Hospital, United Kingdom
| |
Collapse
|
115
|
Bauermeister S, Orton C, Thompson S, Barker RA, Bauermeister JR, Ben-Shlomo Y, Brayne C, Burn D, Campbell A, Calvin C, Chandran S, Chaturvedi N, Chêne G, Chessell IP, Corbett A, Davis DHJ, Denis M, Dufouil C, Elliott P, Fox N, Hill D, Hofer SM, Hu MT, Jindra C, Kee F, Kim CH, Kim C, Kivimaki M, Koychev I, Lawson RA, Linden GJ, Lyons RA, Mackay C, Matthews PM, McGuiness B, Middleton L, Moody C, Moore K, Na DL, O'Brien JT, Ourselin S, Paranjothy S, Park KS, Porteous DJ, Richards M, Ritchie CW, Rohrer JD, Rossor MN, Rowe JB, Scahill R, Schnier C, Schott JM, Seo SW, South M, Steptoe M, Tabrizi SJ, Tales A, Tillin T, Timpson NJ, Toga AW, Visser PJ, Wade-Martins R, Wilkinson T, Williams J, Wong A, Gallacher JEJ. The Dementias Platform UK (DPUK) Data Portal. Eur J Epidemiol 2020; 35:601-611. [PMID: 32328990 PMCID: PMC7320955 DOI: 10.1007/s10654-020-00633-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 04/10/2020] [Indexed: 11/18/2022]
Abstract
The Dementias Platform UK Data Portal is a data repository facilitating access to data for 3 370 929 individuals in 42 cohorts. The Data Portal is an end-to-end data management solution providing a secure, fully auditable, remote access environment for the analysis of cohort data. All projects utilising the data are by default collaborations with the cohort research teams generating the data. The Data Portal uses UK Secure eResearch Platform infrastructure to provide three core utilities: data discovery, access, and analysis. These are delivered using a 7 layered architecture comprising: data ingestion, data curation, platform interoperability, data discovery, access brokerage, data analysis and knowledge preservation. Automated, streamlined, and standardised procedures reduce the administrative burden for all stakeholders, particularly for requests involving multiple independent datasets, where a single request may be forwarded to multiple data controllers. Researchers are provided with their own secure 'lab' using VMware which is accessed using two factor authentication. Over the last 2 years, 160 project proposals involving 579 individual cohort data access requests were received. These were received from 268 applicants spanning 72 institutions (56 academic, 13 commercial, 3 government) in 16 countries with 84 requests involving multiple cohorts. Projects are varied including multi-modal, machine learning, and Mendelian randomisation analyses. Data access is usually free at point of use although a small number of cohorts require a data access fee.
Collapse
Affiliation(s)
| | | | - Simon Thompson
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Roger A Barker
- Cambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Carol Brayne
- Department of Public Health, University of Cambridge, Cambridge, UK
| | - David Burn
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Archie Campbell
- Department of Medical Genetics, University of Edinburgh, Edinburgh, UK
| | | | | | | | - Geneviève Chêne
- Bordeaux Population Health, Université Bordeaux, Bordeaux, France
| | | | - Anne Corbett
- College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Mike Denis
- Oxford Academic Health Science Network, University of Oxford, Oxford, UK
| | - Carole Dufouil
- Bordeaux Population Health, Université Bordeaux, Bordeaux, France
| | - Paul Elliott
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Imperial College NIHR Biomedical Research Centre, Imperial College London, London, UK
- Health Data Research UK London at Imperial College London, London, UK
| | - Nick Fox
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | | | - Scott M Hofer
- Department of Psychology, University of Victoria, Victoria, Canada
| | - Michele T Hu
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | | | - Frank Kee
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Chi-Hun Kim
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Mika Kivimaki
- Institute of Epidemiology and Health, University College London, London, UK
| | - Ivan Koychev
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Rachael A Lawson
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Gerry J Linden
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Ronan A Lyons
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Clare Mackay
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Paul M Matthews
- Division of Brain Sciences and UK Dementia Research Institute, Imperial College London, London, UK
| | | | - Lefkos Middleton
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Katrina Moore
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Sebastien Ourselin
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | | | - Ki-Soo Park
- Institute of Health Science, Gyeongsang National University, Jinju-si, South Korea
| | - David J Porteous
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | | | - Craig W Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Martin N Rossor
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - James B Rowe
- Cambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Rachael Scahill
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Christian Schnier
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Jonathan M Schott
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Sang W Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Matthew South
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Matthew Steptoe
- Department of Behavioural Science and Health, UCL, London, UK
| | - Sarah J Tabrizi
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Swansea, UK
| | | | | | | | - Pieter-Jelle Visser
- VU University Medical Centre, Maastricht University, Maastricht, The Netherlands
| | - Richard Wade-Martins
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Tim Wilkinson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Julie Williams
- Institute of Psychological Medicine and Clinical Neurosciences, and UK Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing, UCL, London, UK
| | | |
Collapse
|
116
|
Wong K, Caskey F, Ben-Shlomo Y, Casula A, Bailey P. P0772CLINICAL CHARACTERISTICS OF THE UK CHINESE POPULATION WITH KIDNEY FAILURE: A UK RENAL REGISTRY ANALYSIS. Nephrol Dial Transplant 2020. [DOI: 10.1093/ndt/gfaa142.p0772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background and Aims
Data from the UK Renal Registry (UKRR) has shown that 0.5% of those in the UK with kidney failure are of Chinese ethnicity. The UK Chinese population is growing. Ethnic differences in cause of renal disease and dialysis rates have been described in UK individuals of White, South Asian, and Black ethnicity. However, the clinical demographics of the UK Chinese population with renal disease have not previously been investigated.
The China Kidney Disease Network and the Hong Kong Renal Registry have reported the main cause of chronic kidney disease in their populations is diabetes, but the causes of renal disease in other Chinese diaspora have not been well described.
We investigated the clinical characteristics of the UK Chinese population on renal replacement therapy (RRT) as compared with the UK White RRT population in this UKRR analysis.
Method
Data on all adult patients >=18 years who started RRT between 1/1/97 and 31/12/16 were extracted from the UKRR. Patients with ethnicity recorded as anything other than “Chinese” or “White” were excluded from analysis. Patients with ethnicity data missing were also excluded.
Socioeconomic status was measured using country-specific Index of Multiple Deprivation (IMD) quintiles derived from patients’ postcodes (1= most deprived, 5= least deprived). The Chi-square (*) and Mann-Whitney U (**) tests were used to compare baseline characteristics between Chinese and White ethnic groups.
Results
The dataset comprised of 92,857 incident RRT patients, of which 0.5% (n=501) were of Chinese ethnicity and 76% (n=70,575) were White. Clinical characteristics of the UK Chinese population as compared to the UK White population are presented in Table 1.
UK Chinese patients were younger at start of RRT than white patients (61.4 years vs 65.6 years, p<0.001**). Any difference in the proportion of male patients (60.7% vs 63.0%, p=0.29*) or socioeconomic status (p=0.75*) between the two groups was consistent with chance.
There were marked differences in the causes of renal disease: UK Chinese patients had more diabetic renal disease (29% versus 20%, p<0.001*) and glomerulonephritis that white patients (21% vs 13%, p<0.001*) There was modest evidence that more UK Chinese patients started RRT on peritoneal dialysis (PD) compared to the White population (26% vs 23%, p=0.01*)
Conclusion
We found evidence that the UK Chinese RRT population differs from the UK White RRT population. To our knowledge, this is the first study describing renal disease in the UK Chinese population, and one of the first to describe disease in the Chinese diaspora.
Our finding of a greater burden of diabetes in the UK Chinese RRT population compared to the White RRT population may reflect the high prevalence of diabetes in the UK Chinese, as in mainland China and Hong Kong. Further investigation is needed to understand the causes behind the higher burden of glomerulonephritis in the UK Chinese population.
The increased rates of PD in UK Chinese patients may be associated with lower average Body Mass Index (BMI) in the Chinese population. The quantity of missing BMI data in the UKRR dataset prevented investigation of this association. Hong Kong has had a successful “PD first” policy for >30 years. Familiarity with this as a mode of dialysis may have led to higher rates of PD in the UK Chinese population. Studies from Hong Kong have also suggested that lower dialysis volumes are required for Chinese PD patients, and that high transporter status is less common in their population. It would be beneficial to elucidate whether this is also the case in UK Chinese patients.
Collapse
Affiliation(s)
- Katie Wong
- University of Bristol, United Kingdom
- Southmead Hospital, United Kingdom
| | - Fergus Caskey
- University of Bristol, United Kingdom
- Southmead Hospital, United Kingdom
| | | | - Anna Casula
- United Kingdom Renal Registry, Bristol, United Kingdom
| | - Pippa Bailey
- University of Bristol, United Kingdom
- Southmead Hospital, United Kingdom
| |
Collapse
|
117
|
Wong K, Ben-Shlomo Y, Owen-Smith A, Caskey F, MacNeill S, Tomson CRV, Dor F, Bailey P. P1635INVESTIGATING REASONS FOR ETHNIC INEQUITY IN LIVING-DONOR KIDNEY TRANSPLANTATION IN THE UK: A MIXED METHODS ANALYSIS OF A MULTICENTRE QUESTIONNAIRE-BASED STUDY. Nephrol Dial Transplant 2020. [DOI: 10.1093/ndt/gfaa142.p1635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background and Aims
A living-donor kidney transplant (LDKT) is one of the best treatments for kidney failure, yet in the UK there is evidence of ethnic inequity in access. We designed this questionnaire-based mixed-methods study to investigate the patient-reported reasons that family members of Black, Asian and Minority Ethnic group (BAME) individuals were not able to become living kidney donors.
Method
This questionnaire-based case-control study included 14 UK hospitals. Participants were adults transplanted between 1/4/13-31/3/17. Participants provided data on all relatives aged >18 years who could have been potential living kidney donors. Participants were asked for the reasons why relatives could not donate: individuals were asked to tick all options that applied from a list of reasons (Age; Health; Weight; Location; Financial/Cost; Job; Blood group; No-one to care for them after donation), and a box was provided for free-text entries following the option of ‘Other – please give details’. Multivariable logistic regression was used to analyse the association between the likelihood of selecting each reason for non-donation and the participant’s ethnicity (binary variable White versus BAME). 56/171 BAME respondents provided free text responses and all were analysed. Qualitative responses were analysed using thematic analysis.
Results
1,240 questionnaires were returned from 3,103 patients (40% response). There was strong evidence that after adjustment for potential confounders sex, age and socioeconomic position, BAME individuals were more likely than White respondents to indicate that family members lived too far away to donate (adjusted odds ratio (aOR) 3.14 [95% CI 2.10-4.70]), were prevented from donating by financial concerns (aOR 2.25 [95% CI 1.49-3.39]), were not able to take time off work (aOR 2.05 [95% CI 1.36-3.09]), and were not the right blood group (aOR 1.47 [95% CI 1.12-1.94]). Four qualitative themes were identified from free-text responses from BAME participants: i) Burden of disease within the family ii) ‘Unorthodox’ religious beliefs iii) Specific geographical concerns (healthcare provision, visa difficulties) iv) Knowledge handling. The theme ‘Knowledge Handling’ incorporated three subthemes: a) Need for more detailed knowledge, b) Protected disclosure of health status, and c) Recipient assumptions about potential donor knowledge.
Conclusion
We have identified multiple barriers to living kidney donation in the UK BAME population, which should be further investigated and addressed. BAME transplant recipients were more likely to report that potential donors were not the right blood group to donate: work should be undertaken to ascertain if this reflects true ABO-incompatibility or perceived incompatibility. Potential donors living outside the UK is a major barrier, related to difficulties with accessing visa and concerns about a specific country’s healthcare system’s capacity for longer-term post-donation care. The financial barriers reported may disproportionately affect overseas donors who, although entitled to reimbursement for travel, accommodation and visa costs, may incur large “up-front” costs which may be prohibitive. No respondents reported that a major religion’s position on living donation was a barrier to donation. However, there were several references to family members holding beliefs that were described as ‘distorted’ religious beliefs: this highlights the need to understand the beliefs of potential donors who belong to non-mainstream religions, which may be out of the remit of denominational faith leaders.
Collapse
Affiliation(s)
- Katie Wong
- University of Bristol, United Kingdom
- Southmead Hospital, United Kingdom
| | | | | | - Fergus Caskey
- University of Bristol, United Kingdom
- Southmead Hospital, United Kingdom
| | | | | | - Frank Dor
- Imperial College London, United Kingdom
| | - Pippa Bailey
- University of Bristol, United Kingdom
- Southmead Hospital, United Kingdom
| |
Collapse
|
118
|
Tan MMX, Malek N, Lawton MA, Hubbard L, Pittman AM, Joseph T, Hehir J, Swallow DMA, Grosset KA, Marrinan SL, Bajaj N, Barker RA, Burn DJ, Bresner C, Foltynie T, Hardy J, Wood N, Ben-Shlomo Y, Grosset DG, Williams NM, Morris HR. Genetic analysis of Mendelian mutations in a large UK population-based Parkinson's disease study. Brain 2020; 142:2828-2844. [PMID: 31324919 PMCID: PMC6735928 DOI: 10.1093/brain/awz191] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 04/05/2019] [Accepted: 04/28/2019] [Indexed: 01/01/2023] Open
Abstract
Our objective was to define the prevalence and clinical features of genetic Parkinson’s disease in a large UK population-based cohort, the largest multicentre prospective clinico-genetic incident study in the world. We collected demographic data, Movement Disorder Society Unified Parkinson’s Disease Rating Scale scores, and Montreal Cognitive Assessment scores. We analysed mutations in PRKN (parkin), PINK1, LRRK2 and SNCA in relation to age at symptom onset, family history and clinical features. Of the 2262 participants recruited to the Tracking Parkinson’s study, 424 had young-onset Parkinson’s disease (age at onset ≤ 50) and 1799 had late onset Parkinson’s disease. A range of methods were used to genotype 2005 patients: 302 young-onset patients were fully genotyped with multiplex ligation-dependent probe amplification and either Sanger and/or exome sequencing; and 1701 late-onset patients were genotyped with the LRRK2 ‘Kompetitive’ allele-specific polymerase chain reaction assay and/or exome sequencing (two patients had missing age at onset). We identified 29 (1.4%) patients carrying pathogenic mutations. Eighteen patients carried the G2019S or R1441C mutations in LRRK2, and one patient carried a heterozygous duplication in SNCA. In PRKN, we identified patients carrying deletions of exons 1, 4 and 5, and P113Xfs, R275W, G430D and R33X. In PINK1, two patients carried deletions in exon 1 and 5, and the W90Xfs point mutation. Eighteen per cent of patients with age at onset ≤30 and 7.4% of patients from large dominant families carried pathogenic Mendelian gene mutations. Of all young-onset patients, 10 (3.3%) carried biallelic mutations in PRKN or PINK1. Across the whole cohort, 18 patients (0.9%) carried pathogenic LRRK2 mutations and one (0.05%) carried an SNCA duplication. There is a significant burden of LRRK2 G2019S in patients with both apparently sporadic and familial disease. In young-onset patients, dominant and recessive mutations were equally common. There were no differences in clinical features between LRRK2 carriers and non-carriers. However, we did find that PRKN and PINK1 mutation carriers have distinctive clinical features compared to young-onset non-carriers, with more postural symptoms at diagnosis and less cognitive impairment, after adjusting for age and disease duration. This supports the idea that there is a distinct clinical profile of PRKN and PINK1-related Parkinson’s disease. We estimate that there are approaching 1000 patients with a known genetic aetiology in the UK Parkinson’s disease population. A small but significant number of patients carry causal variants in LRRK2, SNCA, PRKN and PINK1 that could potentially be targeted by new therapies, such as LRRK2 inhibitors.
Collapse
Affiliation(s)
- Manuela M X Tan
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.,UCL Movement Disorders Centre, University College London, London, UK
| | - Naveed Malek
- Department of Neurology, Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow, UK
| | | | - Leon Hubbard
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Alan M Pittman
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Theresita Joseph
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK
| | - Jason Hehir
- University College London Hospitals NHS Foundation Trust, UK
| | - Diane M A Swallow
- Department of Neurology, Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow, UK
| | - Katherine A Grosset
- Department of Neurology, Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow, UK
| | - Sarah L Marrinan
- Institute of Neuroscience, University of Newcastle, Newcastle upon Tyne, UK
| | - Nin Bajaj
- Department of Clinical Neurosciences, University of Nottingham, UK
| | - Roger A Barker
- UCL Movement Disorders Centre, University College London, London, UK.,Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge UK.,Department of Clinical Neurosciences, John van Geest Centre for Brain Repair, Cambridge, UK
| | - David J Burn
- Institute of Neuroscience, University of Newcastle, Newcastle upon Tyne, UK
| | - Catherine Bresner
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Thomas Foltynie
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.,UCL Movement Disorders Centre, University College London, London, UK
| | - John Hardy
- Reta Lila Weston Laboratories, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Nicholas Wood
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.,UCL Movement Disorders Centre, University College London, London, UK
| | | | - Donald G Grosset
- Department of Neurology, Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow, UK
| | - Nigel M Williams
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Huw R Morris
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, UK.,UCL Movement Disorders Centre, University College London, London, UK
| |
Collapse
|
119
|
Auger SD, Kanavou S, Lawton M, Ben-Shlomo Y, Hu MT, Schrag AE, Morris HR, Grosset DG, Noyce AJ. Testing Shortened Versions of Smell Tests to Screen for Hyposmia in Parkinson's Disease. Mov Disord Clin Pract 2020; 7:394-398. [PMID: 32373655 PMCID: PMC7197313 DOI: 10.1002/mdc3.12928] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Revised: 01/05/2020] [Accepted: 01/19/2020] [Indexed: 11/08/2022] Open
Abstract
Background Hyposmia is an early feature in neurodegenerative diseases, most notably Parkinson's disease (PD). Using abbreviated smell tests could provide a cost-effective means for large-scale hyposmia screening. It is unclear whether short smell tests can effectively detect hyposmia in patient populations. Objectives To test the ability of short smell combinations to "prescreen" for probable hyposmia in people with PD and target administration of more extensive tests, such as the University of Pennsylvania Smell Identification Test. Methods We assessed the screening performance of a short 4-smell combination previously derived from use of the 40-item University of Pennsylvania Smell Identification Test in healthy older people and its ability to detect hyposmia in a large cohort of PD patients. Results The novel 4-smell combination included menthol, clove, onion, and orange and had a sensitivity of 87.1% (95% confidence interval, 84.9%-89.2%) and specificity of 69.7% (63.3%-75.5%) for detecting hyposmia in patients with PD. A different (also novel) 4-item combination developed using a data-driven approach in PD patients only achieved 81.3% (78.2%-84.4%) sensitivity for equivalent specificity. Conclusions A short 4-smell combination derived from a healthy population demonstrated high sensitivity to detect those with hyposmia and PD.
Collapse
Affiliation(s)
- Stephen D Auger
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London London United Kingdom
| | - Sofia Kanavou
- Population Health Sciences, University of Bristol Bristol United Kingdom
| | - Michael Lawton
- Population Health Sciences, University of Bristol Bristol United Kingdom
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol Bristol United Kingdom
| | - Michele T Hu
- Oxford Parkinson's Disease Centre University of Oxford Oxford United Kingdom.,Nuffield Department of Clinical Neurosciences University of Oxford Oxford United Kingdom
| | - Anette E Schrag
- Department of Clinical and Movement Neuroscience UCL Institute of Neurology, University College London London United Kingdom
| | - Huw R Morris
- Department of Clinical and Movement Neuroscience UCL Institute of Neurology, University College London London United Kingdom
| | - Donald G Grosset
- Department of Neurology Institute of Neurological Sciences, Queen Elizabeth University Hospital Glasgow United Kingdom
| | - Alastair J Noyce
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London London United Kingdom.,Reta Lila Weston Institute and Department of Clinical and Movement Neuroscience UCL Institute of Neurology, University College London London United Kingdom
| |
Collapse
|
120
|
Alarkawi D, Ali MS, Bliuc D, Pallares N, Tebe C, Elhussein L, Caskey FJ, Arden NK, Ben-Shlomo Y, Abrahamsen B, Diez-Perez A, Pascual J, Pérez-Sáez MJ, Center JR, Judge A, Cooper C, Javaid MK, Prieto-Alhambra D. Oral Bisphosphonate Use and All-Cause Mortality in Patients With Moderate-Severe (Grade 3B-5D) Chronic Kidney Disease: A Population-Based Cohort Study. J Bone Miner Res 2020; 35:894-900. [PMID: 31968134 DOI: 10.1002/jbmr.3961] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 12/05/2019] [Accepted: 01/09/2020] [Indexed: 11/11/2022]
Abstract
Oral bisphosphonates (oBPs) have been associated with reduced fractures and mortality. However, their risks and benefits are unclear in patients with moderate-severe CKD. This study examined the association between oBPs and all-cause mortality in G3B-5D CKD. This is a population-based cohort study including all subjects with an estimated glomerular filtration rate (eGFR) <45/mL/min/1.73 m2 (G3B: eGFR <45/mL/min/1.73 m2 G4: eGFR 15-29/mL/min/1.73 m2 G5: eGFR <15/mL/min/1.73 m2 G5D: hemodialysis) aged 40+ years from the UK Clinical Practice Research Datalink (CPRD) and the Catalan Information System for Research in Primary Care (SIDIAP). Previous and current users of other anti-osteoporosis drugs were excluded. oBP use was modeled as a time-varying exposure to avoid immortal time bias. Treatment episodes in oBP users were created by concatenating prescriptions until patients switched or stopped therapy or were censored or died. A washout period of 180 days was added to (date of last prescription +180 days). Propensity scores (PSs) were calculated using prespecified predictors of mortality including age, gender, baseline eGFR, socioeconomic status, comorbidities, previous fracture, co-medications, and number of hospital admissions in the previous year. Cox models were used for PS adjustment before and after PS trimming (the first and last quintiles). In the CPRD, of 19,351 oBP users and 210,954 non-oBP users, 5234 (27%) and 85,105 (40%) deaths were recorded over 45,690 and 915,867 person-years of follow-up, respectively. oBP users had 8% lower mortality risk compared to non-oBP users (hazard ratio [HR] 0.92; 95% CI, 0.89 to 0.95). Following PS trimming, this became nonsignificant (HR 0.98; 95% CI, 0.94 to 1.04). In the SIDIAP, of 4146 oBP users and 86,127 non-oBP users, 1330 (32%) and 36,513 (42%) died, respectively. oBPs were not associated with mortality in PS adjustment and trimming (HR 1.04; 95% CI, 0.99 to 1.1 and HR 0.95; 95% CI, 0.89 to 1.01). In this observational, patient-based cohort study, oBPs were not associated with increased mortality among patients with moderate-severe CKD. However, further studies are needed on other effects of oBPs in CKD patients. © 2020 American Society for Bone and Mineral Research.
Collapse
Affiliation(s)
- Dunia Alarkawi
- Bone Biology Division, Garvan Institute of Medical Research, School of Medicine, University of New South Wales, Sydney, Australia
| | - M Sanni Ali
- Centre for Statistics in Medicine and Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Dana Bliuc
- Bone Biology Division, Garvan Institute of Medical Research, School of Medicine, University of New South Wales, Sydney, Australia
| | - Natalia Pallares
- Biostatistics Unit, Bellvitge Biomedical Research Institute (IDIBELL) L'Hospitalet de Llobregat, Barcelona, Spain
| | - Cristian Tebe
- Biostatistics Unit, Bellvitge Biomedical Research Institute (IDIBELL) L'Hospitalet de Llobregat, Barcelona, Spain
| | - Leena Elhussein
- Centre for Statistics in Medicine and Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Fergus J Caskey
- Population Health Sciences, University of Bristol, Bristol, UK.,UK Renal Registry, Bristol, UK
| | - Nigel K Arden
- Centre for Statistics in Medicine and Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Bo Abrahamsen
- Centre for Statistics in Medicine and Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.,Odense Patient Data Explorative Network, University of Southern Denmark, Odense, Denmark.,Department of Medicine, Holbaek Hospital, Holbaek, Denmark
| | - Adolfo Diez-Perez
- Hospital del Mar Institute of Medical Investigation Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), University of Barcelona (UAB), Barcelona, Spain
| | - Julio Pascual
- Department of Nephrology, Hospital del Mar, Barcelona, Spain
| | | | - Jacqueline R Center
- Bone Biology Division, Garvan Institute of Medical Research, School of Medicine, University of New South Wales, Sydney, Australia.,Clinical School, St Vincent's Hospital, Sydney, Australia
| | - Andrew Judge
- Centre for Statistics in Medicine and Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.,National Institute for Health Research (NIHR) Biomedical Research Centre Translational Health Sciences, University of Bristol, Bristol, UK.,Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Cyrus Cooper
- Centre for Statistics in Medicine and Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.,Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Muhammad K Javaid
- Centre for Statistics in Medicine and Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.,Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Daniel Prieto-Alhambra
- Centre for Statistics in Medicine and Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.,Grup de Recerca en Epidemiologia de les Malalties Prevalents de l'Aparell Locomotor (GREMPAL) Research Group, Idiap Jordi Gol Primary Care Research Institute, Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Universitat Autonoma de Barcelona, Barcelona, Spain
| |
Collapse
|
121
|
Grant R, Lawrie TA, Brennan PM, Walter FM, Ben-Shlomo Y, Hunt DW, Tomlinson E, Bulbeck H, Kernohan A, Robinson T, Vale L. Interventions to reduce the time to diagnosis of brain tumours. Hippokratia 2020. [DOI: 10.1002/14651858.cd013564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Robin Grant
- Western General Hospital; Edinburgh Centre for Neuro-Oncology (ECNO); Crewe Road Edinburgh Scotland UK EH4 2XU
| | - Theresa A Lawrie
- The Evidence-Based Medicine Consultancy Ltd; 3rd Floor Northgate House Upper Borough Walls Bath UK BA1 1RG
| | - Paul M Brennan
- Western General Hospital; Translational Neurosurgery Department; Edinburgh UK EH4 2XR
| | - Fiona M Walter
- University of Cambridge; Public Health & Primary Care; Strangeways Research Laboratory, Worts Causeway Cambridge UK CB1 8RN
| | - Yoav Ben-Shlomo
- Canynge Hall; Department of Social Medicine; Whiteladies Road Bristol UK BS8 2PR
| | - David William Hunt
- Royal Surrey County Hospital/University of Surrey; Foundation School/Dept of Clinical and Experimental Medicine; 10 Barrack Road Guildford Surrey UK GU2 9SR
| | - Eve Tomlinson
- 1st Floor Education Centre, Royal United Hospital; Cochrane Gynaecological, Neuro-oncology and Orphan Cancers; Combe Park Bath UK BA1 3NG
| | - Helen Bulbeck
- brainstrust; Director of Services; 4 Yvery Court Castle Road Cowes Isle of Wight UK PO31 7QG
| | - Ashleigh Kernohan
- Newcastle University; Institute of Health & Society; Baddiley-Clark Building, Richardson Road Newcastle upon Tyne UK NE2 4AA
| | - Tomos Robinson
- Newcastle University; Institute of Health & Society; Baddiley-Clark Building, Richardson Road Newcastle upon Tyne UK NE2 4AA
| | - Luke Vale
- Newcastle University; Institute of Health & Society; Baddiley-Clark Building, Richardson Road Newcastle upon Tyne UK NE2 4AA
| |
Collapse
|
122
|
Borges MC, Schmidt AF, Jefferis B, Wannamethee SG, Lawlor DA, Kivimaki M, Kumari M, Gaunt TR, Ben-Shlomo Y, Tillin T, Menon U, Providencia R, Dale C, Gentry-Maharaj A, Hughes A, Chaturvedi N, Casas JP, Hingorani AD. Circulating Fatty Acids and Risk of Coronary Heart Disease and Stroke: Individual Participant Data Meta-Analysis in Up to 16 126 Participants. J Am Heart Assoc 2020; 9:e013131. [PMID: 32114887 PMCID: PMC7335585 DOI: 10.1161/jaha.119.013131] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background We aimed at investigating the association of circulating fatty acids with coronary heart disease (CHD) and stroke risk. Methods and Results We conducted an individual-participant data meta-analysis of 5 UK-based cohorts and 1 matched case-control study. Fatty acids (ie, omega-3 docosahexaenoic acid, omega-6 linoleic acid, monounsaturated and saturated fatty acids) were measured at baseline using an automated high-throughput serum nuclear magnetic resonance metabolomics platform. Data from 3022 incident CHD cases (13 104 controls) and 1606 incident stroke cases (13 369 controls) were included. Logistic regression was used to model the relation between fatty acids and odds of CHD and stroke, adjusting for demographic and lifestyle variables only (ie, minimally adjusted model) or with further adjustment for other fatty acids (ie, fully adjusted model). Although circulating docosahexaenoic acid, but not linoleic acid, was related to lower CHD risk in the fully adjusted model (odds ratio, 0.85; 95% CI, 0.76-0.95 per standard unit of docosahexaenoic acid), there was evidence of high between-study heterogeneity and effect modification by study design. Stroke risk was consistently lower with increasing circulating linoleic acid (odds ratio for fully adjusted model, 0.82; 95% CI, 0.75-0.90). Circulating monounsaturated fatty acids were associated with higher CHD risk across all models and with stroke risk in the fully adjusted model (odds ratio, 1.22; 95% CI, 1.03-1.44). Saturated fatty acids were not related to increased CHD risk in the fully adjusted model (odds ratio, 0.94; 95% CI, 0.82-1.09), or stroke risk. Conclusions We found consistent evidence that linoleic acid was associated with decreased risk of stroke and that monounsaturated fatty acids were associated with increased risk of CHD. The different pattern between CHD and stroke in terms of fatty acids risk profile suggests future studies should be cautious about using composite events. Different study designs are needed to assess which, if any, of the associations observed is causal.
Collapse
Affiliation(s)
- Maria Carolina Borges
- MRC Integrative Epidemiology Unit at the University of Bristol United Kingdom.,Population Health Sciences Bristol Medical School University of Bristol United Kingdom
| | - Amand Floriaan Schmidt
- Institute of Cardiovascular Science University College London London United Kingdom.,Groningen Research Institute of Pharmacy University of Groningen the Netherlands.,Division Heart and Lungs Department of Cardiology University Medical Center Utrecht Utrecht The Netherlands
| | - Barbara Jefferis
- UCL Department of Primary Care & Population Health UCL Medical School London United Kingdom
| | - S Goya Wannamethee
- UCL Department of Primary Care & Population Health UCL Medical School London United Kingdom
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol United Kingdom.,Population Health Sciences Bristol Medical School University of Bristol United Kingdom
| | - Mika Kivimaki
- Department of Epidemiology and Public Health University College London London United Kingdom
| | - Meena Kumari
- Department of Epidemiology and Public Health University College London London United Kingdom.,Institute for Social and Economic Research University of Essex United Kingdom
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit at the University of Bristol United Kingdom.,Population Health Sciences Bristol Medical School University of Bristol United Kingdom
| | - Yoav Ben-Shlomo
- Population Health Sciences Bristol Medical School University of Bristol United Kingdom
| | - Therese Tillin
- Cardiometabolic Phenotyping Group Institute of Cardiovascular Science University College London London United Kingdom
| | - Usha Menon
- MRC Clinical Trials Unit at UCL Institute of Clinical Trials & MethodologyUniversity College London London United Kingdom
| | - Rui Providencia
- Farr Institute of Health Informatics University College London London United Kingdom.,Barts Heart Centre St Bartholomew's Hospital Barts Health NHS Trust London United Kingdom
| | - Caroline Dale
- Farr Institute of Health Informatics University College London London United Kingdom
| | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit at UCL Institute of Clinical Trials & MethodologyUniversity College London London United Kingdom
| | - Alun Hughes
- Institute of Cardiovascular Science University College London London United Kingdom
| | - Nish Chaturvedi
- Institute of Cardiovascular Science University College London London United Kingdom
| | - Juan Pablo Casas
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA
| | - Aroon D Hingorani
- Institute of Cardiovascular Science University College London London United Kingdom.,Farr Institute of Health Informatics University College London London United Kingdom
| | | |
Collapse
|
123
|
Kuh D, Cooper R, Sattar N, Welsh P, Hardy R, Ben-Shlomo Y. Systemic Inflammation and Cardio-Renal Organ Damage Biomarkers in Middle Age Are Associated With Physical Capability Up to 9 Years Later. Circulation 2020; 139:1988-1999. [PMID: 30667283 PMCID: PMC6485301 DOI: 10.1161/circulationaha.118.037332] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Supplemental Digital Content is available in the text. Background: Physical capability, a key component of healthy aging, is associated with cardiovascular and other risk factors across life. We investigated whether midlife biomarkers of heart and kidney damage capturing the cumulative impact of long-term adverse exposures were associated with the level and decline in physical capability over 9 years of follow-up, taking account of systemic inflammatory biomarkers and conventional cardiovascular risk factors. Methods: We used data on 1736 men and women from the oldest British birth cohort study with walking speed, chair rise speed, balance time, and grip strength assessed at ages 60 to 64 and 69 years. We tested associations between logged and standardized measures of cystatin C, NT-proBNP (N-terminal pro-B-type natriuretic peptide), interleukin (IL)-6, and E-selectin at age 60 to 64 years with performance at age 69 years, adjusting for sex, height, and body mass index; then for performance at age 60 to 64 years. These biomarkers were mutually adjusted, and additionally adjusted for cardiovascular risk factors (pulse pressure, total/high density lipoprotein cholesterol, glycosylated hemoglobin), diabetes mellitus, cardiovascular and kidney disease, smoking status, and lifetime socioeconomic position. Results: Cystatin C, NT-proBNP, and IL-6 (but not E-selectin) were inversely associated with all outcomes, adjusted for sex, height, and body mass index. For example, a 1-SD increase in logged NT-proBNP was associated with weaker grip (−0.63 kg, 95% CI, −0.99 to −0.28); the equivalent association for cystatin C was −0.60 kg (95% CI, −0.94 to −0.25) and for IL-6 was −0.76 kg (95% CI, −1.11 to −0.41). Most associations remained, albeit attenuated, after adjustment for previous performance and mutual adjustment of the biomarkers. NT-proBNP and IL-6 (but not cystatin C) were more strongly associated with the outcomes than many of the conventional risk factors after mutual adjustment. Conclusions: Higher levels of NT-proBNP may identify those in midlife at risk of accelerated physical decline. Before considering the use of NT-proBNP for risk stratification, further research should untangle whether these associations exist because the biomarker is an integrated measure of cumulative exposures to relevant stressors across life, or whether it is marking additional risk pathways. Randomized trials to reduce the rate of decline in physical capability or delay incident disability could benefit from including middle-aged adults and adding NT-proBNP and IL-6 as intermediate outcomes.
Collapse
Affiliation(s)
- Diana Kuh
- MRC Unit for Lifelong Health and Ageing, University College London, UK (D.K., R.C., R.H.)
| | - Rachel Cooper
- MRC Unit for Lifelong Health and Ageing, University College London, UK (D.K., R.C., R.H.)
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, UK (N.S., P.W.)
| | - Paul Welsh
- Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, UK (N.S., P.W.)
| | - Rebecca Hardy
- MRC Unit for Lifelong Health and Ageing, University College London, UK (D.K., R.C., R.H.)
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, UK (Y.B-S.)
| |
Collapse
|
124
|
Affiliation(s)
- Sarah Salway
- Department of Sociological Studies, University of Sheffield, Sheffield, UK
| | - Daniel Holman
- Department of Sociological Studies, University of Sheffield, Sheffield, UK
| | - Caroline Lee
- Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Victoria McGowan
- Institute of Health and Society, Newcastle University, Newcastle, UK
| | - Yoav Ben-Shlomo
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Sonia Saxena
- School of Public Health, Imperial College London, London, UK
| | - James Nazroo
- Cathie Marsh Institute for Social Research, University of Manchester, Manchester, UK
| |
Collapse
|
125
|
Baig F, Kelly MJ, Lawton MA, Ben-Shlomo Y, Hu MT. Reply to: "Predictors of motor complications in early Parkinson's disease". Mov Disord 2020; 35:193. [PMID: 31965632 DOI: 10.1002/mds.27904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 09/29/2019] [Accepted: 10/06/2019] [Indexed: 11/12/2022] Open
Affiliation(s)
- Fahd Baig
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Mark J Kelly
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Michael A Lawton
- Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Michele T Hu
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| |
Collapse
|
126
|
Lord SR, Bindels H, Ketheeswaran M, Brodie MA, Lawrence AD, Close JCT, Whone AL, Ben-Shlomo Y, Henderson EJ. Freezing of Gait in People with Parkinson's Disease: Nature, Occurrence, and Risk Factors. J Parkinsons Dis 2020; 10:631-640. [PMID: 32116261 DOI: 10.3233/jpd-191813] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Freezing of gait (FOG) is a common symptom of Parkinson's disease (PD) which can result in falls and fall related injuries, poor quality of life and reduced functional independence. It is a heterogeneous phenomenon that is difficult to quantify and eludes a unified pathophysiological framework. OBJECTIVE Our aim was to document the occurrence and nature of freezing, cognitive stops and stumbles in people with PD during walks with varying cognitive loads and conditions designed to elicit FOG. METHODS 130 people with PD walked under four conditions (normal walking, walking plus easy and hard dual-tasks, and a FOG elicitation condition. Video and accelerometry recordings were examined to document freezes and other gait disruptions. RESULTS Participants experienced 391 freezes, 97 cognitive stops and 73 stumbles in the trial walks; with total gait disruptions increasing with task complexity. Most freezes in the FOG elicitation condition occurred during turning and approach destination. People who experienced freezing during the walks were more likely to have Postural Instability and Gait Difficulty (PIGD) subtype, longer disease duration and more severe UPDRS part II and part III sub-scores than people who did not freeze. They also took higher doses of levodopa, reported freezing in the past month, more prior falls, had poorer executive function, poorer proprioception, slower reaction time, poorer standing and leaning balance, more depressive symptoms, lower quality of life and greater fear of falling. PD disease duration, reduced controlled leaning balance and poor proprioception were identified as independent and significant determinants of freezing in logistic regression analysis. CONCLUSION The multiple motor and cognitive factors identified as being associated with freezing, including poor proprioception and impaired controlled leaning balance provide new insights into this debilitating PD symptom and may contribute to potential new targets for rehabilitation.
Collapse
Affiliation(s)
- Stephen R Lord
- Neuroscience Research Australia, UNSW, Sydney, Australia
| | - Helen Bindels
- Department of Applied Health Sciences, University of Applied Sciences, Bochum, Germany
| | | | | | - Andrew D Lawrence
- School of Psychology and Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, UK
| | - Jacqueline C T Close
- Neuroscience Research Australia, UNSW, Sydney, Australia
- Prince of Wales Clinical School, UNSW, Sydney, NSW, Australia
| | - Alan L Whone
- Translational Health Sciences, Bristol Medical School, University of Bristol, UK
- Department of Neurology, Southmead Hospital, North Bristol NHS Trust, Bristol, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Emily J Henderson
- Population Health Sciences, Bristol Medical School, University of Bristol, UK
- Royal United Hospitals NHS Bath Foundation Trust, Combe Park, Bath, UK
| |
Collapse
|
127
|
Ali MS, Ernst M, Robinson DE, Caskey F, Arden NK, Ben-Shlomo Y, Nybo M, Rubin KH, Judge A, Cooper C, Javaid MK, Hermann AP, Prieto-Alhambra D. Alendronate use and bone mineral density gains in women with moderate-severe (stages 3B-5) chronic kidney disease: an open cohort multivariable and propensity score analysis from Funen, Denmark. Arch Osteoporos 2020; 15:81. [PMID: 32483674 PMCID: PMC8448716 DOI: 10.1007/s11657-020-00746-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 04/30/2020] [Indexed: 02/03/2023]
Abstract
UNLABELLED Bisphosphonates are contraindicated in moderate-to-severe chronic kidney disease patients. However, they are used to prevent fragility fractures in patients with impaired kidney function, despite a lack of evidence on their effects on bone density in these patients. We demonstrated that Alendronate had a positive effect on bone in these patients. PURPOSE This study aimed to assess the association between alendronate use and bone mineral density (BMD) change in subjects with moderate-severe chronic kidney disease (CKD). METHODS We created a cohort of CKD stage 3B-5 patients by linking all DXA-based measurements in the Funen area, Denmark, to biochemistry, national health registries and filled prescriptions. Exposure was dispensation of alendronate and the outcome was annualized percentage change in BMD at the femoral neck, total hip and lumbar spine. Individuals were followed from first BMD to the latest of subsequent DXA measurements. Alendronate non-users were identified using incidence density sampling and matched groups were created using propensity scores. Linear regression was used to estimate average differences in the annualized BMD. RESULTS Use of alendronate was rare in this group of patients: propensity score matching (PSM) resulted in 71 alendronate users and 142 non-users with stage 3B-5 CKD (as in the 1 year before DXA). Whilst alendronate users gained an average 1.07% femoral neck BMD per year, non-users lost an average of 1.59% per annum. The PSM mean differences in annualized BMD were + 2.65% (1.32%, 3.99%), + 3.01% (1.74%, 4.28%) and + 2.12% (0.98%, 3.25%) at the femoral neck, total hip and spine BMD, respectively, all in favour of alendronate users. CONCLUSION In a real-world cohort of women with stage 3B-5 CKD, use of alendronate appears associated with a significant improvement of 2-3% per year in the femoral neck, total hip and spine BMD. More data are needed on the anti-fracture effectiveness and safety of bisphosphonate therapy in moderate-severe CKD.
Collapse
Affiliation(s)
- M Sanni Ali
- Faculty of Epidemiology and Population Health, Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
- Center for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- Department of Public Health, Saint Paul Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Martin Ernst
- OPEN, Department of Health, University of Southern Denmark, Odense, Denmark
- Department of Public Health, Clinical Pharmacology and Pharmacy, University of Southern Denmark, Odense, Denmark
| | - Danielle E Robinson
- Center for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Fergus Caskey
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Nigel K Arden
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- MRC Lifecourse Epidemiology Unit, Southampton, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Mads Nybo
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Katrine H Rubin
- OPEN, Department of Health, University of Southern Denmark, Odense, Denmark
| | - Andrew Judge
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- MRC Lifecourse Epidemiology Unit, Southampton, UK
| | - Cyrus Cooper
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- MRC Lifecourse Epidemiology Unit, Southampton, UK
| | - M K Javaid
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- MRC Lifecourse Epidemiology Unit, Southampton, UK
| | - Anne P Hermann
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | - Daniel Prieto-Alhambra
- Center for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
- MRC Lifecourse Epidemiology Unit, Southampton, UK.
- GREMPAL Research Group (Idiap Jordi Gol Primary Care Research Institute) and CIBERFes, Universitat Autonoma de Barcelona, Barcelona, Spain.
| |
Collapse
|
128
|
Scott J, Jones T, Redaniel MT, May MT, Ben-Shlomo Y, Caskey F. Estimating the risk of acute kidney injury associated with use of diuretics and renin angiotensin aldosterone system inhibitors: A population based cohort study using the clinical practice research datalink. BMC Nephrol 2019; 20:481. [PMID: 31888533 PMCID: PMC6937998 DOI: 10.1186/s12882-019-1633-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 11/20/2019] [Indexed: 01/19/2023] Open
Abstract
Background The risk of acute kidney injury (AKI) attributable to renin angiotensin aldosterone (RAAS) inhibitors and diuretics remains unclear. Methods We conducted a prospective cohort study using the Clinical Practice Research Datalink (2008–2015) linked to Hospital Episode Statistics – Admitted Patient Care and Office for National Statistics mortality data. Patients were included if they had one or more chronic diagnoses requiring medication. Exposed patients had a first ever prescription for RAAS inhibitors/diuretics during the study period. AKI risk associated with exposure was determined by multivariable Cox regression, propensity score-adjusted Cox regression and a prior event rate ratio (PERR) analysis. Results One hundred forty thousand nine hundred fifty-two individuals were included. Increased AKI risk in the exposed group was demonstrated in both the multivariable and propensity score-adjusted cox regressions (HR 1.23 (95% CI 1.04–1.45) and HR 1.24 (1.05–1.47) respectively). The PERR analysis provided a similar overall hazard ratio with a wider confidence interval (HR 1.29 (0.94–1.63)). The increased AKI risk in the exposed group was present only in those receiving two or more antihypertensives. Absolute AKI risk was small. Conclusions RAAS inhibitors/diuretics result in an increased risk of AKI. The absolute increase in AKI risk is small, however, and needs to be considered in the context of any potential benefits.
Collapse
Affiliation(s)
- Jemima Scott
- Richard Bright Renal Unit, Southmead Hospital, Bristol, BS10 5NB, UK. .,Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, UK.
| | - Tim Jones
- Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, UK.,NIHR CLAHRC West, University of Bristol, Bristol, UK
| | - Maria Theresa Redaniel
- Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, UK.,NIHR CLAHRC West, University of Bristol, Bristol, UK
| | - Margaret T May
- Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, UK
| | - Yoav Ben-Shlomo
- Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, UK.,NIHR CLAHRC West, University of Bristol, Bristol, UK
| | - Fergus Caskey
- Richard Bright Renal Unit, Southmead Hospital, Bristol, BS10 5NB, UK.,Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, UK.,UK Renal Registry, Bristol, UK
| |
Collapse
|
129
|
Damian MS, Ben-Shlomo Y, Howard R, Harrison DA. Admission patterns and survival from status epilepticus in critical care in the UK: an analysis of the Intensive Care National Audit and Research Centre Case Mix Programme database. Eur J Neurol 2019; 27:557-564. [PMID: 31621142 DOI: 10.1111/ene.14106] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 10/14/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Factors influencing the outcome after the critical care unit (CCU) for patients with status epilepticus (SE) are poorly understood. Survival for these patients was examined to establish (i) whether the risk of mortality has changed over time and (ii) whether admission to different unit types affects mortality risk over and above other risk factors. METHODS The Intensive Care National Audit and Research Centre database and the Case Mix Programme database (January 2001 to December 2016) were analysed. Units were defined as neuro-CCU (NCCU), general CCU with 24-h neurological support (GCCU-N) or general CCU with limited neurological support (GCCU-L). RESULTS There were 35 595 CCU cases of SE with a 3-fold increase over time (4739 in 2001-2004 to 14 166 in 2013-2016). More recent admissions were older and were more often unsedated on admission. Mortality declined for all units although this was more marked for NCCUs (8.1% in 2001-2004 to 4.4% in 2013-2016 compared to 5.1% and 4.1% for GCCU-L). Acute hospital mortality was two to three times higher than CCU mortality although this has also declined with time. GCCU-L appeared to have lower mortality than NCCUs (odds ratio 0.84, 95% confidence interval 0.72, 0.98) but after post hoc adjustment for case mix there were no differences. Older age and markers of seriousness of morbidity were all associated with increased mortality risk. CONCLUSIONS The number of patients admitted to a CCU for SE is rising but critical care and acute hospital mortality is decreasing. Patients treated in an NCCU have higher mortality but this is explicable by more severe underlying disease.
Collapse
Affiliation(s)
- M S Damian
- Neurosciences Critical Care Unit and Department of Neurology, Cambridge University Hospitals, Cambridge, UK.,Ipswich Hospital, Ipswich, UK
| | - Y Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - R Howard
- National Hospital for Neurology and Neurosurgery, London, UK.,St Thomas' Hospital, London, UK
| | - D A Harrison
- Intensive Care National Audit and Research Centre (ICNARC), London, UK
| |
Collapse
|
130
|
Lawton M, Baig F, Toulson G, Morovat A, Evetts SG, Ben-Shlomo Y, Hu MT. Blood biomarkers with Parkinson's disease clusters and prognosis: The oxford discovery cohort. Mov Disord 2019; 35:279-287. [PMID: 31693246 PMCID: PMC7028059 DOI: 10.1002/mds.27888] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 09/03/2019] [Accepted: 09/18/2019] [Indexed: 12/31/2022] Open
Abstract
Background Predicting prognosis in Parkinson's disease (PD) has important implications for individual prognostication and clinical trials design and targeting novel treatments. Blood biomarkers could help in this endeavor. Methods We identified 4 blood biomarkers that might predict prognosis: apolipoprotein A1, C‐reactive protein, uric acid and vitamin D. These biomarkers were measured in baseline serum from 624 Parkinson's disease subjects (median disease duration, 1.0 years; interquartile range, 0.5–2.0) from the Oxford Discovery prospective cohort. We compared these biomarkers against PD subtypes derived from clinical features in the baseline cohort using data‐driven approaches. We used multilevel models with MDS‐UPDRS parts I, II, and III and Montreal Cognitive Assessment as outcomes to test whether the biomarkers predicted subsequent progression in motor and nonmotor domains. We compared the biomarkers against age of PD onset and age at diagnosis. The q value, a false‐discovery rate alternative to P values, was calculated as an adjustment for multiple comparisons. Results Apolipoprotein A1 and C‐reactive protein levels differed across our PD subtypes, with severe motor disease phenotype, poor psychological well‐being, and poor sleep subtype having reduced apolipoprotein A1 and higher C‐reactive protein levels. Reduced apolipoprotein A1, higher C‐reactive protein, and reduced vitamin D were associated with worse baseline activities of daily living (MDS‐UPDRS II). Conclusion Baseline clinical subtyping identified a pro‐inflammatory biomarker profile significantly associated with a severe motor/nonmotor disease phenotype, lending biological validity to subtyping approaches. No blood biomarker predicted motor or nonmotor prognosis. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Michael Lawton
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Fahd Baig
- Nuffield Department of Clinical Neurosciences, Division of Clinical Neurology, University of Oxford, Oxford, UK.,Oxford Parkinson's Disease Centre, University of Oxford, Oxford, UK
| | - Greg Toulson
- Department of Clinical Biochemistry, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Alireza Morovat
- Department of Clinical Biochemistry, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Samuel G Evetts
- Nuffield Department of Clinical Neurosciences, Division of Clinical Neurology, University of Oxford, Oxford, UK.,Oxford Parkinson's Disease Centre, University of Oxford, Oxford, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Michele T Hu
- Nuffield Department of Clinical Neurosciences, Division of Clinical Neurology, University of Oxford, Oxford, UK.,Oxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.,Department of Clinical Neurology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| |
Collapse
|
131
|
Schmidt AF, Holmes MV, Preiss D, Swerdlow DI, Denaxas S, Fatemifar G, Faraway R, Finan C, Valentine D, Fairhurst-Hunter Z, Hartwig FP, Horta BL, Hypponen E, Power C, Moldovan M, van Iperen E, Hovingh K, Demuth I, Norman K, Steinhagen-Thiessen E, Demuth J, Bertram L, Lill CM, Coassin S, Willeit J, Kiechl S, Willeit K, Mason D, Wright J, Morris R, Wanamethee G, Whincup P, Ben-Shlomo Y, McLachlan S, Price JF, Kivimaki M, Welch C, Sanchez-Galvez A, Marques-Vidal P, Nicolaides A, Panayiotou AG, Onland-Moret NC, van der Schouw YT, Matullo G, Fiorito G, Guarrera S, Sacerdote C, Wareham NJ, Langenberg C, Scott RA, Luan J, Bobak M, Malyutina S, Pająk A, Kubinova R, Tamosiunas A, Pikhart H, Grarup N, Pedersen O, Hansen T, Linneberg A, Jess T, Cooper J, Humphries SE, Brilliant M, Kitchner T, Hakonarson H, Carrell DS, McCarty CA, Lester KH, Larson EB, Crosslin DR, de Andrade M, Roden DM, Denny JC, Carty C, Hancock S, Attia J, Holliday E, Scott R, Schofield P, O'Donnell M, Yusuf S, Chong M, Pare G, van der Harst P, Said MA, Eppinga RN, Verweij N, Snieder H, Christen T, Mook-Kanamori DO, Gustafsson S, Lind L, Ingelsson E, Pazoki R, Franco O, Hofman A, Uitterlinden A, Dehghan A, Teumer A, Baumeister S, Dörr M, Lerch MM, Völker U, Völzke H, Ward J, Pell JP, Meade T, Christophersen IE, Maitland-van der Zee AH, Baranova EV, Young R, Ford I, Campbell A, Padmanabhan S, Bots ML, Grobbee DE, Froguel P, Thuillier D, Roussel R, Bonnefond A, Cariou B, Smart M, Bao Y, Kumari M, Mahajan A, Hopewell JC, Seshadri S, Dale C, Costa RPE, Ridker PM, Chasman DI, Reiner AP, Ritchie MD, Lange LA, Cornish AJ, Dobbins SE, Hemminki K, Kinnersley B, Sanson M, Labreche K, Simon M, Bondy M, Law P, Speedy H, Allan J, Li N, Went M, Weinhold N, Morgan G, Sonneveld P, Nilsson B, Goldschmidt H, Sud A, Engert A, Hansson M, Hemingway H, Asselbergs FW, Patel RS, Keating BJ, Sattar N, Houlston R, Casas JP, Hingorani AD. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9. BMC Cardiovasc Disord 2019; 19:240. [PMID: 31664920 PMCID: PMC6820948 DOI: 10.1186/s12872-019-1187-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 08/19/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. METHODS Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. RESULTS The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer's disease - outcomes for which large-scale trial data were unavailable. CONCLUSIONS Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.
Collapse
Affiliation(s)
- Amand F Schmidt
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK.
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
- UCL's BHF Research Accelerator Centre, London, UK.
| | - Michael V Holmes
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - David Preiss
- Medical Research Council Population Health Research Unit, Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Daniel I Swerdlow
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- Department of Medicine, Imperial College London, London, UK
| | - Spiros Denaxas
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK
- The Alan Turing Institute, British Library, 96 Euston Rd, London, NW1 2DB, UK
| | - Ghazaleh Fatemifar
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK
| | - Rupert Faraway
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
| | - Chris Finan
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- UCL's BHF Research Accelerator Centre, London, UK
| | - Dennis Valentine
- UCL's BHF Research Accelerator Centre, London, UK
- University College London, Farr Institute of Health Informatics, London, UK
| | - Zammy Fairhurst-Hunter
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK
| | | | - Bernardo Lessa Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Elina Hypponen
- Centre for Population Health Research, Sansom Institute for Health Research, University of South Australia, Adelaide, Australia
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Christine Power
- Population, Policy and Practice, UCL GOS Institute of Child Health, London, UK
| | - Max Moldovan
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Erik van Iperen
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, The Netherlands
- Department of Clinical Epidemiology, Biostatistics And Bioinformatics, Academic Medical Center Amsterdam, Amsterdam, the Netherlands
| | - Kees Hovingh
- Department of vascular medicine, Academic Medical Center Amsterdam, Amsterdam, the Netherlands
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
- Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Kristina Norman
- Institute of Nutritional Science, University of Potsdam, 14558, Nuthetal, Germany
- Geriatrics Research Group, Charité - Universitätsmedizin Berlin, 13347, Berlin, Germany
- Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, 14558, Nuthetal, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | | | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics & Cardiogenetics, University of Lübeck, Lübeck, Germany
- Center for Lifespan Changes in Brain and Cognition (LCBC), Dept. Psychology, University of Oslo, Oslo, Norway
| | - Christina M Lill
- Genetic and Molecular Epidemiology Group, Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics & Cardiogenetics, University of Lübeck, Lübeck, Germany
- Institute of Human Genetics, Lübeck, Germany
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College, London, UK
| | - Stefan Coassin
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, 6020, Innsbruck, Austria
| | - Johann Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Stefan Kiechl
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Karin Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
- Department of Neurology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - Richard Morris
- Department Primary Care & Population Health, University College London, London, UK
| | - Goya Wanamethee
- Department Primary Care & Population Health, University College London, London, UK
| | - Peter Whincup
- Population Health Research Institute, St George's, University of London, London, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Stela McLachlan
- Centre for Population Health Sciences, The Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Jackie F Price
- Centre for Population Health Sciences, The Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Catherine Welch
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Adelaida Sanchez-Galvez
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Andrew Nicolaides
- Department of Vascular Surgery, Imperial College, London, United Kingdom
- Department of Surgery, Nicosia Medical School, University of Nicosia, Nicosia, Cyprus
| | - Andrie G Panayiotou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Giuseppe Matullo
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Giovanni Fiorito
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simonetta Guarrera
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, UK
| | - Martin Bobak
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Sofia Malyutina
- Novosibirsk State Medical University, Novosibirsk, Russian Federation
- Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russian Federation
| | - Andrzej Pająk
- Department of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College, Kraków, Poland
| | | | | | - Hynek Pikhart
- Department of Epidemiology and Public Health, UCL Institute of Epidemiology and Health Care, University College London, London, UK
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, The Capital Region of Denmark, Denmark
| | - Tine Jess
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, The Capital Region of Denmark, Denmark
| | - Jackie Cooper
- Centre for Cardiovascular Genetics, Department of Medicine, University College London, London, UK
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Department of Medicine, University College London, London, UK
| | - Murray Brilliant
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, USA
| | - Terrie Kitchner
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, USA
| | | | - David S Carrell
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | | | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - David R Crosslin
- Department of Biomedical Informatics and Medical Education University of Washington Seattle, Seattle, WA, USA
| | | | - Dan M Roden
- Department of Medicine, Department of Pharmacology, Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | | | | | - John Attia
- University of Newcastle, Newcastle, NSW, Australia
- Public Health Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Elizabeth Holliday
- University of Newcastle, Newcastle, NSW, Australia
- Public Health Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Rodney Scott
- University of Newcastle, Newcastle, NSW, Australia
| | - Peter Schofield
- Hunter New England Local Health District, Newcastle, NSW, Australia
| | | | - Salim Yusuf
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Michael Chong
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Guillaume Pare
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Pim van der Harst
- Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, The Netherlands
- Department of Clinical Epidemiology, Biostatistics And Bioinformatics, Academic Medical Center Amsterdam, Amsterdam, the Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - M Abdullah Said
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ruben N Eppinga
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tim Christen
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - D O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Raha Pazoki
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Oscar Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Andre Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Sebastian Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Markus M Lerch
- Department of Internal Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Joey Ward
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, Scotland, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, Scotland, UK
| | - Tom Meade
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Ingrid E Christophersen
- The Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
| | - Anke H Maitland-van der Zee
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands
- Department of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Robin Young
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Archie Campbell
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Michiel L Bots
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Diederick E Grobbee
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Philippe Froguel
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France
- Department of Genomics of Common Disease, Imperial College London, W12 0NN, London, United Kingdom
| | - Dorothée Thuillier
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France
| | - Ronan Roussel
- INSERM, U-1138, Centre de Recherche des Cordeliers, Paris, France
- UFR de Médecine, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
- Départment de Diabétologie, Endocrinologie et Nutrition, Assistance Publique Hôpitaux de Paris, Hôpital Bicha, Paris, France
| | - Amélie Bonnefond
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, 59000, Lille, France
| | - Bertrand Cariou
- l'institut du Thorax, INSERM, CNRS, UNIV Nantes, CHU Nantes, Nantes, France
| | - Melissa Smart
- Institute for Social and Economic Research, University of Essex, Essex, UK
| | - Yanchun Bao
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, England
| | - Meena Kumari
- Boston University School of Medicine, Boston, MA, USA
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, England
| | - Jemma C Hopewell
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Roosevelt Drive, Oxford, OX3 7LF, UK
| | | | - Caroline Dale
- University College London, Farr Institute of Health Informatics, London, UK
| | | | - Paul M Ridker
- Harvard Medical School Center for Cardiovascular Disease Prevention Brigham and Women's Hospital, Boston, USA
| | - Daniel I Chasman
- Harvard Medical School Center for Cardiovascular Disease Prevention Brigham and Women's Hospital, Boston, USA
| | | | | | | | - Alex J Cornish
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Sara E Dobbins
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Kari Hemminki
- Div. Molecular Genetic Epidemiology German Cancer Research Center, Im Neuenheimer Feld 580, 69120, Heidelberg, Germany
- Deutsches Krebsforschungszentrum, Heidelberg, Germany
| | - Ben Kinnersley
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Marc Sanson
- The Institut du Cerveau et de la Moelle épinière - ICM, Paris, France
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, F-75013, Paris, France
| | - Karim Labreche
- The Institut du Cerveau et de la Moelle épinière - ICM, Paris, France
- Sorbonne Universités, UPMC Université Paris 06, UMR S 1127, F-75013, Paris, France
| | - Matthias Simon
- Department of Neurosurgery, Bethel Clinic, Kantensiek 11, 33617, Bielefeld, Germany
| | - Melissa Bondy
- Division of Hematology-Oncology, Department of Pediatrics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Philip Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Helen Speedy
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - James Allan
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, UK
| | - Ni Li
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Niels Weinhold
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Gareth Morgan
- Myeloma Institute for Research and Therapy, University of Arkansas for Medical Sciences, Little Rock, USA
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, the Netherlands
| | - Björn Nilsson
- Hematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, SE-221 84, Lund, Sweden
| | - Hartmut Goldschmidt
- University Clinic Heidelberg, Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Andreas Engert
- Department of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Markus Hansson
- Hematology Clinic, Skåne University Hospital, Skåne, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Harry Hemingway
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK, University College London, 222 Euston Road, London, NW1 2DA, UK
- Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK
- The National Institute for Health Research University College London Hospitals Biomedical Research Centre, University College London, 222 Euston Road, London, NW1 2DA, UK
| | - Folkert W Asselbergs
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- UCL's BHF Research Accelerator Centre, London, UK
- Health Data Research UK and Institute of Health Informatics, University College London, London, United Kingdom
| | - Riyaz S Patel
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- UCL's BHF Research Accelerator Centre, London, UK
- The Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | | | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Juan P Casas
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC) Veterans Affairs Boston Healthcare System, Boston, USA
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, University College London, 222 Euston Road, London, NW1 2DA, UK
- UCL's BHF Research Accelerator Centre, London, UK
| |
Collapse
|
132
|
Kaptoge S, Pennells L, De Bacquer D, Cooney MT, Kavousi M, Stevens G, Riley LM, Savin S, Khan T, Altay S, Amouyel P, Assmann G, Bell S, Ben-Shlomo Y, Berkman L, Beulens JW, Björkelund C, Blaha M, Blazer DG, Bolton T, Bonita Beaglehole R, Brenner H, Brunner EJ, Casiglia E, Chamnan P, Choi YH, Chowdry R, Coady S, Crespo CJ, Cushman M, Dagenais GR, D'Agostino Sr RB, Daimon M, Davidson KW, Engström G, Ford I, Gallacher J, Gansevoort RT, Gaziano TA, Giampaoli S, Grandits G, Grimsgaard S, Grobbee DE, Gudnason V, Guo Q, Tolonen H, Humphries S, Iso H, Jukema JW, Kauhanen J, Kengne AP, Khalili D, Koenig W, Kromhout D, Krumholz H, Lam TH, Laughlin G, Marín Ibañez A, Meade TW, Moons KGM, Nietert PJ, Ninomiya T, Nordestgaard BG, O'Donnell C, Palmieri L, Patel A, Perel P, Price JF, Providencia R, Ridker PM, Rodriguez B, Rosengren A, Roussel R, Sakurai M, Salomaa V, Sato S, Schöttker B, Shara N, Shaw JE, Shin HC, Simons LA, Sofianopoulou E, Sundström J, Völzke H, Wallace RB, Wareham NJ, Willeit P, Wood D, Wood A, Zhao D, Woodward M, Danaei G, Roth G, Mendis S, Onuma O, Varghese C, Ezzati M, Graham I, Jackson R, Danesh J, Di Angelantonio E. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. Lancet Glob Health 2019; 7:e1332-e1345. [PMID: 31488387 PMCID: PMC7025029 DOI: 10.1016/s2214-109x(19)30318-3] [Citation(s) in RCA: 449] [Impact Index Per Article: 89.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 05/16/2019] [Accepted: 07/10/2019] [Indexed: 01/31/2023]
Abstract
BACKGROUND To help adapt cardiovascular disease risk prediction approaches to low-income and middle-income countries, WHO has convened an effort to develop, evaluate, and illustrate revised risk models. Here, we report the derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions. METHODS In this model revision initiative, we derived 10-year risk prediction models for fatal and non-fatal cardiovascular disease (ie, myocardial infarction and stroke) using individual participant data from the Emerging Risk Factors Collaboration. Models included information on age, smoking status, systolic blood pressure, history of diabetes, and total cholesterol. For derivation, we included participants aged 40-80 years without a known baseline history of cardiovascular disease, who were followed up until the first myocardial infarction, fatal coronary heart disease, or stroke event. We recalibrated models using age-specific and sex-specific incidences and risk factor values available from 21 global regions. For external validation, we analysed individual participant data from studies distinct from those used in model derivation. We illustrated models by analysing data on a further 123 743 individuals from surveys in 79 countries collected with the WHO STEPwise Approach to Surveillance. FINDINGS Our risk model derivation involved 376 177 individuals from 85 cohorts, and 19 333 incident cardiovascular events recorded during 10 years of follow-up. The derived risk prediction models discriminated well in external validation cohorts (19 cohorts, 1 096 061 individuals, 25 950 cardiovascular disease events), with Harrell's C indices ranging from 0·685 (95% CI 0·629-0·741) to 0·833 (0·783-0·882). For a given risk factor profile, we found substantial variation across global regions in the estimated 10-year predicted risk. For example, estimated cardiovascular disease risk for a 60-year-old male smoker without diabetes and with systolic blood pressure of 140 mm Hg and total cholesterol of 5 mmol/L ranged from 11% in Andean Latin America to 30% in central Asia. When applied to data from 79 countries (mostly low-income and middle-income countries), the proportion of individuals aged 40-64 years estimated to be at greater than 20% risk ranged from less than 1% in Uganda to more than 16% in Egypt. INTERPRETATION We have derived, calibrated, and validated new WHO risk prediction models to estimate cardiovascular disease risk in 21 Global Burden of Disease regions. The widespread use of these models could enhance the accuracy, practicability, and sustainability of efforts to reduce the burden of cardiovascular disease worldwide. FUNDING World Health Organization, British Heart Foundation (BHF), BHF Cambridge Centre for Research Excellence, UK Medical Research Council, and National Institute for Health Research.
Collapse
|
133
|
Vusirikala A, Ben-Shlomo Y, Kuh D, Stafford M, Cooper R, Morgan GS. Mid-life social participation and physical performance at age 60-64: evidence from the 1946 British Birth Cohort Study. Eur J Public Health 2019; 29:986-992. [PMID: 30726911 DOI: 10.1093/eurpub/ckz005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Previous studies linking social activity and disability have been limited by focussing on self-reported physical performance in older adults (>65). We examined whether social participation in mid-life is associated with objective and subjective measures of physical performance in older age. METHODS Participants of the Medical Research Council National Survey of Health and Development reported their involvement in social activities at ages 43 and 60-64 years; frequency of such involvement was classified into thirds. Physical performance was measured at age 60-64 using: grip strength; standing balance; chair rises; timed get-up-and-go; self-reported physical function from the Short Form-36. Multivariable regression was used to examine longitudinal associations between social participation and each physical performance measure. We also investigated whether change in social participation between 43 and 60-64 was associated with each outcome. RESULTS In fully adjusted models, higher frequency of social participation at 43 was associated with faster chair rise (1.42 repetitions/min, 95% CI 0.45-2.39) and timed get-up-and-go speed (2.47 cm/s, 95% CI 0.27-4.67) and lower likelihood of self-report limitations (OR of low physical function 0.67, 95% CI 0.50-0.91) at 60-64 compared with low frequency. Better performance in objectively measured outcomes was observed only if higher social participation persisted over time whereas lower odds of self-reported limitations were found in all groups when compared to those with persistently low participation (ORs 0.43-0.56, all P≤0.02). CONCLUSION Our findings suggest that associations between higher levels of social participation in mid-life and better physical performance exist only if this social participation persists through to older age.
Collapse
Affiliation(s)
- A Vusirikala
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Y Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - D Kuh
- Medical Research Council Unit for Lifelong Health and Ageing at University College London (UCL), UK
| | - M Stafford
- Medical Research Council Unit for Lifelong Health and Ageing at University College London (UCL), UK
| | - R Cooper
- Medical Research Council Unit for Lifelong Health and Ageing at University College London (UCL), UK
| | - G S Morgan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| |
Collapse
|
134
|
Singer L, Green M, Rowe F, Ben-Shlomo Y, Kulu H, Morrissey K. Trends in multimorbidity, complex multimorbidity and multiple functional limitations in the ageing population of England, 2002-2015. J Comorb 2019; 9:2235042X19872030. [PMID: 31523632 PMCID: PMC6727093 DOI: 10.1177/2235042x19872030] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 05/09/2019] [Accepted: 07/08/2019] [Indexed: 12/21/2022]
Abstract
This study aimed to estimate the prevalence of three measures of multimorbidity among
people aged 50 years or older in England. Beside the basic measure of two or more diseases
within a person, we added a measure of three or more affected body systems (complex
multimorbidity) and a measure of 10 or more functional limitations. We found that the
three health outcomes became more prevalent between 2002 and 2015. They were more common
among females than males and were becoming more common among younger age groups. While in
2002, the prevalence of basic multimorbidity overcame 50% from the 70–74 age group
upwards, in 2015 it crossed the same threshold in the 65–69 age group. The distribution of
multimorbidity and multiple functional limitations were stratified by the amount of
household wealth. Multiple functional limitations reflected the largest differences
between the most and the least affluent groups (5.9-fold in 2014/2015), followed by the
measure of complex multimorbidity (2.8-fold in 2014/2015) and basic multimorbidity
(1.9-fold) in 2014/2015.While age acted as a levelling factor for the wealth differences
in basic multimorbidity, it had no such effect on the two other outcomes. Our study
observed social polarization among multimorbid ageing population in England where complex
multimorbidity and multiple functional limitations increase faster and reflect stronger
inequality than basic multimorbidity.
Collapse
Affiliation(s)
- Leo Singer
- Department of Geography and Planning, University of Liverpool, Liverpool, UK
| | - Mark Green
- Department of Geography and Planning, University of Liverpool, Liverpool, UK
| | - Francisco Rowe
- Department of Geography and Planning, University of Liverpool, Liverpool, UK
| | - Yoav Ben-Shlomo
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Hill Kulu
- School of Geography and Sustainable Development, University of St Andrews, Scotland, UK
| | - Karyn Morrissey
- College of Medicine and Health, University of Exeter, Exeter, UK
| |
Collapse
|
135
|
Ozawa M, Brennan PM, Zienius K, Kurian KM, Hollingworth W, Weller D, Grant R, Hamilton W, Ben-Shlomo Y. The usefulness of symptoms alone or combined for general practitioners in considering the diagnosis of a brain tumour: a case-control study using the clinical practice research database (CPRD) (2000-2014). BMJ Open 2019; 9:e029686. [PMID: 31471440 PMCID: PMC6720478 DOI: 10.1136/bmjopen-2019-029686] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES To evaluate the utility of different symptoms, alone or combined, presented to primary care for an adult brain tumour diagnosis. DESIGN AND SETTING Matched case-control study, using the data from Clinical Practice Research Datalink (2000-2014) from primary care consultations in the UK. METHOD All presentations within 6 months of the index diagnosis date (cases) or equivalent (controls) were coded into 32 symptom groups. Sensitivity, specificity, positive predictive values (PPVs) and positive likelihood ratios were calculated for symptoms and combinations of symptoms with headache and cognitive features. Diagnostic odds ratios were calculated using conditional logistic regression, adjusted for age group, sex and Charlson comorbidity. Stratified analyses were performed for age group, sex and whether the tumour was of primary or secondary origin. RESULTS We included 8,184 cases and 28,110 controls. Seizure had the highest PPV of 1.6% (95% CI 1.4% to 1.7%) followed by weakness 1.5% (1.3 to 1.7) and confusion 1.4% (1.3 to 1.5). Combining headache with other symptoms increased the PPV. For example, headache plus combined cognitive symptoms PPV 7.2% (6.0 to 8.6); plus weakness 4.4% (3.2 to 6.2), compared with headache alone PPV 0.1%. The diagnostic ORs were generally larger for patients <70 years; this was most marked for confusion, seizure and visual symptoms. CONCLUSION We found seizure, weakness and confusion had relatively higher predictive values than many other symptoms. Headache on its own was a weak predictor but this was enhanced when combined with other symptoms especially in younger patients. Clinicians need to actively search for other neurological symptoms such as cognitive problems.
Collapse
Affiliation(s)
- Mio Ozawa
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Paul M Brennan
- Department of Clinical Neurosciences, Western General Hospital, Edinburgh, UK
| | - Karolis Zienius
- Department of Clinical Neurosciences, Western General Hospital, Edinburgh, UK
| | | | | | - David Weller
- General Practice, University of Edinburgh, Edinburgh, UK
| | - Robin Grant
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Willie Hamilton
- Primary Care Diagnostics, University of Exeter Medical School, Exeter, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| |
Collapse
|
136
|
Hamilton AJ, Casula A, Ben-Shlomo Y, Caskey FJ, Inward CD. The clinical epidemiology of young adults starting renal replacement therapy in the UK: presentation, management and survival using 15 years of UK Renal Registry data. Nephrol Dial Transplant 2019; 33:356-364. [PMID: 28339838 PMCID: PMC5837389 DOI: 10.1093/ndt/gfw444] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 11/28/2016] [Indexed: 01/09/2023] Open
Abstract
Background Clinical epidemiology data for young adults on renal replacement therapy (RRT) are lacking. While mostly transplanted, they have an increased risk of graft loss during young adulthood. Methods We combined the UK Renal Registry paediatric and adult databases to describe patient characteristics, transplantation and survival for young adults. We grouped patients 11–30 years of age starting RRT from 1999 to 2008 by age band and examined their course during 5 years of follow-up. Results The cohort (n = 3370) was 58% male, 79% white and 29% had glomerulonephritis. Half (52%) started RRT on haemodialysis (HD). Most (78%) were transplanted (18% pre-emptive, 61% as second modality); 11% were not listed for transplant. Transplant timing varied by age group. The deceased:living donor kidney transplant ratio was 2:1 for 11–<16 year olds and 1:1 otherwise. Median deceased donor transplant waiting times ranged from 6 months if <16 years of age to 17 months if ≥21 years. Overall 8% died, with being on dialysis and not transplant listed versus transplanted {hazard ratio [HR] 16.6 [95% confidence interval (CI) 10.8–25.4], P < 0.0001} and diabetes versus glomerulonephritis [HR 4.03 (95% CI 2.71–6.01), P < 0.0001] increasing mortality risk. Conclusions This study highlights the frequent use of HD and the importance of transplant listing and diabetes for young adults. More than half the young adults in our cohort started renal replacement therapy on HD. One in 10 young adults were not listed for transplant by 5 years and were ∼20 times more likely to die than those who were transplanted. Diabetes as a primary renal disease was common among young adults and associated with increased mortality. Overall, almost 1 in 10 young adults had died by 5 years from the start of RRT.
Collapse
Affiliation(s)
- Alexander J Hamilton
- UK Renal Registry, Bristol BS10 5NB, UK.,School of Social and Community Medicine, University of Bristol, Room 1.13/1.14, Canynge Hall, 39 Whatley Road, Bristol BS8 2PS, UK
| | | | - Yoav Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Room 1.13/1.14, Canynge Hall, 39 Whatley Road, Bristol BS8 2PS, UK
| | - Fergus J Caskey
- UK Renal Registry, Bristol BS10 5NB, UK.,School of Social and Community Medicine, University of Bristol, Room 1.13/1.14, Canynge Hall, 39 Whatley Road, Bristol BS8 2PS, UK
| | - Carol D Inward
- Bristol Royal Hospital for Children, Bristol BS2 8BJ, UK
| |
Collapse
|
137
|
Smith MD, Ben-Shlomo Y, Henderson E. How often are patients with progressive supranuclear palsy really falling? J Neurol 2019; 266:2073-2074. [DOI: 10.1007/s00415-019-09375-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 05/07/2019] [Accepted: 05/09/2019] [Indexed: 11/28/2022]
|
138
|
Affiliation(s)
| | - Laura Brennan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Daisy M. Gaunt
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emily Henderson
- Royal United Hospitals Bath NHS trust, Bath, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| |
Collapse
|
139
|
Lo C, Arora S, Baig F, Lawton MA, El Mouden C, Barber TR, Ruffmann C, Klein JC, Brown P, Ben-Shlomo Y, de Vos M, Hu MT. Predicting motor, cognitive & functional impairment in Parkinson's. Ann Clin Transl Neurol 2019; 6:1498-1509. [PMID: 31402628 PMCID: PMC6689691 DOI: 10.1002/acn3.50853] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 06/26/2019] [Accepted: 07/03/2019] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVE We recently demonstrated that 998 features derived from a simple 7-minute smartphone test could distinguish between controls, people with Parkinson's and people with idiopathic Rapid Eye Movement sleep behavior disorder, with mean sensitivity/specificity values of 84.6-91.9%. Here, we investigate whether the same smartphone features can be used to predict future clinically relevant outcomes in early Parkinson's. METHODS A total of 237 participants with Parkinson's (mean (SD) disease duration 3.5 (2.2) years) in the Oxford Discovery cohort performed smartphone tests in clinic and at home. Each test assessed voice, balance, gait, reaction time, dexterity, rest, and postural tremor. In addition, standard motor, cognitive and functional assessments and questionnaires were administered in clinic. Machine learning algorithms were trained to predict the onset of clinical outcomes provided at the next 18-month follow-up visit using baseline smartphone recordings alone. The accuracy of model predictions was assessed using 10-fold and subject-wise cross validation schemes. RESULTS Baseline smartphone tests predicted the new onset of falls, freezing, postural instability, cognitive impairment, and functional impairment at 18 months. For all outcome predictions AUC values were greater than 0.90 for 10-fold cross validation using all smartphone features. Using only the 30 most salient features, AUC values greater than 0.75 were obtained. INTERPRETATION We demonstrate the ability to predict key future clinical outcomes using a simple smartphone test. This work has the potential to introduce individualized predictions to routine care, helping to target interventions to those most likely to benefit, with the aim of improving their outcome.
Collapse
Affiliation(s)
- Christine Lo
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Siddharth Arora
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, UK.,Somerville College, University of Oxford, Oxford, UK
| | - Fahd Baig
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | | | - Claire El Mouden
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Thomas R Barber
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Claudio Ruffmann
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Johannes C Klein
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, UK
| | - Peter Brown
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Maarten de Vos
- Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - Michele T Hu
- Oxford Parkinson's Disease Centre (OPDC), University of Oxford, Oxford, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| |
Collapse
|
140
|
Baig F, Kelly MJ, Lawton MA, Ruffmann C, Rolinski M, Klein JC, Barber T, Lo C, Ben-Shlomo Y, Okai D, Hu MT. Impulse control disorders in Parkinson disease and RBD: A longitudinal study of severity. Neurology 2019; 93:e675-e687. [PMID: 31311842 PMCID: PMC6715510 DOI: 10.1212/wnl.0000000000007942] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Accepted: 03/28/2019] [Indexed: 11/17/2022] Open
Abstract
Objective To describe the prevalence, natural history, and risk factors for impulse control behaviors (ICBs) among people with Parkinson disease (PD), those with REM sleep behavior disorder (RBD), and controls. Methods Participants with early PD (within 3.5 years of diagnosis), those with RBD, and controls were clinically phenotyped and screened for ICBs longitudinally (with the Questionnaire for Impulsivity in Parkinson's Disease). ICB-positive individuals were invited for a semistructured interview, repeated 1 year later. The severity of the ICB was assessed with the Parkinson's Impulse Control Scale. Multiple imputation and regression models were used to estimate ICB prevalence and associations. Results Data from 921 cases of PD at baseline, 768 cases at 18 months, and 531 cases at 36 months were included, with 21% to 25% screening positive for ICBs at each visit. Interviews of ICB screen–positive individuals revealed that 10% met formal criteria for impulse control disorders (ICD), while 33% had subsyndromal ICD (ICB symptoms without reaching the formal diagnostic criteria for ICD). When these data were combined through the use of multiple imputation, the prevalence of PD-ICB was estimated at 19.1% (95% confidence interval 10.1–28.2). On follow-up, 24% of cases of subsyndromal ICD had developed full symptoms of an ICD. PD-ICD was associated with dopamine agonist use, motor complications, and apathy but not PD-RBD. ICD prevalence in the RBD group (1%) was similar to that in controls (0.7%). Conclusions ICBs occur in 19.1% of patients with early PD, many persisting or worsening over time. RBD is not associated with increased ICD risk. Psychosocial drivers, including mood and support networks, affect severity.
Collapse
Affiliation(s)
- Fahd Baig
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK
| | - Mark J Kelly
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK
| | - Michael A Lawton
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK
| | - Claudio Ruffmann
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK
| | - Michal Rolinski
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK
| | - Johannes C Klein
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK
| | - Thomas Barber
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK
| | - Christine Lo
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK
| | - Yoav Ben-Shlomo
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK
| | - David Okai
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK
| | - Michele T Hu
- From the Oxford Parkinson's Disease Centre (F.B., M.J.K., M.A.L., C.R., M.R., J.C.K., T.B., C.L., Y.B.-S., D.O., M.T.H.), and Nuffield Department of Clinical Neurosciences (F.B., M.J.K.), University of Oxford; Population Health Sciences (M.A.L., Y.B.-S.) and Translational Health Sciences (M.R.), University of Bristol; and Department of Psychological Medicine (D.O.), Oxford University Hospitals NHS Trust, UK.
| |
Collapse
|
141
|
Bateson M, Aviv A, Bendix L, Benetos A, Ben-Shlomo Y, Bojesen SE, Cooper C, Cooper R, Deary IJ, Hägg S, Harris SE, Kark JD, Kronenberg F, Kuh D, Labat C, Martin-Ruiz CM, Meyer C, Nordestgaard BG, Penninx BWJH, Pepper GV, Révész D, Said MA, Starr JM, Syddall H, Thomson WM, van der Harst P, Whooley M, von Zglinicki T, Willeit P, Zhan Y, Nettle D. Smoking does not accelerate leucocyte telomere attrition: a meta-analysis of 18 longitudinal cohorts. R Soc Open Sci 2019; 6:190420. [PMID: 31312500 PMCID: PMC6599800 DOI: 10.1098/rsos.190420] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 05/03/2019] [Indexed: 06/10/2023]
Abstract
Smoking is associated with shorter leucocyte telomere length (LTL), a biomarker of increased morbidity and reduced longevity. This association is widely interpreted as evidence that smoking causes accelerated LTL attrition in adulthood, but the evidence for this is inconsistent. We analysed the association between smoking and LTL dynamics in 18 longitudinal cohorts. The dataset included data from 12 579 adults (4678 current smokers and 7901 non-smokers) over a mean follow-up interval of 8.6 years. Meta-analysis confirmed a cross-sectional difference in LTL between smokers and non-smokers, with mean LTL 84.61 bp shorter in smokers (95% CI: 22.62 to 146.61). However, LTL attrition was only 0.51 bp yr-1 faster in smokers than in non-smokers (95% CI: -2.09 to 1.08), a difference that equates to only 1.32% of the estimated age-related loss of 38.33 bp yr-1. Assuming a linear effect of smoking, 167 years of smoking would be required to generate the observed cross-sectional difference in LTL. Therefore, the difference in LTL between smokers and non-smokers is extremely unlikely to be explained by a linear, causal effect of smoking. Selective adoption, whereby individuals with short telomeres are more likely to start smoking, needs to be considered as a more plausible explanation for the observed pattern of telomere dynamics.
Collapse
Affiliation(s)
- Melissa Bateson
- Centre for Behaviour and Evolution and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Abraham Aviv
- Center of Human Development and Aging, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
| | - Laila Bendix
- Pain Center South, Department of Anesthesiology and Intensive Care Medicine, University Hospital Odense, Odense, Denmark
| | - Athanase Benetos
- Department of Geriatric Medicine, CHRU de Nancy, Université de Lorraine, Nancy, France
| | - Yoav Ben-Shlomo
- School of Social and Community Medicine, University of Bristol, Canynge Hall, Bristol, UK
| | - Stig E. Bojesen
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen University, Copenhagen, 2730 Herlev, Denmark
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK
| | - Rachel Cooper
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, 33 Bedford Place, London WC1B 5JU, UK
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Sarah E. Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Edinburgh EH4 2XU, UK
| | - Jeremy D. Kark
- Hebrew University–Hadassah School of Public Health and Community Medicine, Ein Kerem, Jerusalem, Israel
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, 33 Bedford Place, London WC1B 5JU, UK
| | - Carlos Labat
- INSERM U1116, Université de Lorraine, Nancy, France
| | - Carmen M. Martin-Ruiz
- Centre for Behaviour and Evolution and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Craig Meyer
- Department of Medicine, University of California, San Francisco, CA 94121, USA
| | - Børge G. Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen University, Copenhagen, 2730 Herlev, Denmark
| | - Brenda W. J. H. Penninx
- Department of Psychiatry, VU University Medical Center, Oldenaller 1, 1081 HJ Amsterdam, The Netherlands
| | - Gillian V. Pepper
- Centre for Behaviour and Evolution and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Dóra Révész
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands
| | - M. Abdullah Said
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, The Netherlands
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Holly Syddall
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK
| | - William Murray Thomson
- Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin 9054, New Zealand
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen 9700 RB, The Netherlands
| | - Mary Whooley
- Department of Medicine, University of California, San Francisco, CA 94121, USA
| | - Thomas von Zglinicki
- Institute for Cell and Molecular Biosciences, Newcastle University, Newcastle upon Tyne, UK
- Arts and Sciences Faculty, Molecular Biology and Genetics, Near East University, Nicosia, North Cyprus, Mersin 10, Turkey
| | - Peter Willeit
- Department of Neurology, Medical University of Innsbruck, Innsbruck 6020, Austria
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Yiqiang Zhan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Daniel Nettle
- Centre for Behaviour and Evolution and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| |
Collapse
|
142
|
Yu B, Zanetti KA, Temprosa M, Albanes D, Appel N, Barrera CB, Ben-Shlomo Y, Boerwinkle E, Casas JP, Clish C, Dale C, Dehghan A, Derkach A, Eliassen AH, Elliott P, Fahy E, Gieger C, Gunter MJ, Harada S, Harris T, Herr DR, Herrington D, Hirschhorn JN, Hoover E, Hsing AW, Johansson M, Kelly RS, Khoo CM, Kivimäki M, Kristal BS, Langenberg C, Lasky-Su J, Lawlor DA, Lotta LA, Mangino M, Le Marchand L, Mathé E, Matthews CE, Menni C, Mucci LA, Murphy R, Oresic M, Orwoll E, Ose J, Pereira AC, Playdon MC, Poston L, Price J, Qi Q, Rexrode K, Risch A, Sampson J, Seow WJ, Sesso HD, Shah SH, Shu XO, Smith GCS, Sovio U, Stevens VL, Stolzenberg-Solomon R, Takebayashi T, Tillin T, Travis R, Tzoulaki I, Ulrich CM, Vasan RS, Verma M, Wang Y, Wareham NJ, Wong A, Younes N, Zhao H, Zheng W, Moore SC. The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies. Am J Epidemiol 2019; 188:991-1012. [PMID: 31155658 PMCID: PMC6545286 DOI: 10.1093/aje/kwz028] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 01/29/2019] [Accepted: 01/29/2019] [Indexed: 12/11/2022] Open
Abstract
The Consortium of Metabolomics Studies (COMETS) was established in 2014 to facilitate large-scale collaborative research on the human metabolome and its relationship with disease etiology, diagnosis, and prognosis. COMETS comprises 47 cohorts from Asia, Europe, North America, and South America that together include more than 136,000 participants with blood metabolomics data on samples collected from 1985 to 2017. Metabolomics data were provided by 17 different platforms, with the most frequently used labs being Metabolon, Inc. (14 cohorts), the Broad Institute (15 cohorts), and Nightingale Health (11 cohorts). Participants have been followed for a median of 23 years for health outcomes including death, cancer, cardiovascular disease, diabetes, and others; many of the studies are ongoing. Available exposure-related data include common clinical measurements and behavioral factors, as well as genome-wide genotype data. Two feasibility studies were conducted to evaluate the comparability of metabolomics platforms used by COMETS cohorts. The first study showed that the overlap between any 2 different laboratories ranged from 6 to 121 metabolites at 5 leading laboratories. The second study showed that the median Spearman correlation comparing 111 overlapping metabolites captured by Metabolon and the Broad Institute was 0.79 (interquartile range, 0.56-0.89).
Collapse
Affiliation(s)
- Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
| | - Krista A Zanetti
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland
| | - Marinella Temprosa
- Department of Epidemiology and Biostatistics Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Nathan Appel
- Information Management Services, Inc., Rockville, Maryland
| | - Clara Barrios Barrera
- Department of Nephrology, Hospital del Mar, Institut Mar d´Investigacions Mediques, Barcelona, Spain
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Juan P Casas
- Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, United Kingdom
| | - Clary Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
| | - Caroline Dale
- Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, United Kingdom
| | - Abbas Dehghan
- Medical Research Council–Public Health England Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Andriy Derkach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston Massachusetts
| | - Paul Elliott
- Medical Research Council–Public Health England Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- National Institute for Health Research, Imperial College Biomedical Research Center, London, United Kingdom
- Health Data Research UK Center at Imperial College London, London, United Kingdom
| | - Eoin Fahy
- Department of Bioengineering, School of Engineering, University of California, San Diego, La Jolla, California
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
| | - Tamara Harris
- Laboratory of Epidemiology and Population Science Laboratory
| | - Deron R Herr
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Biology, San Diego State University, San Diego, California
| | - David Herrington
- Department of Internal Medicine, Division of Cardiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Joel N Hirschhorn
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts
- Division of Endocrinology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Genetics, Harvard Medical School, Boston, Massachusetts
| | - Elise Hoover
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland
| | - Ann W Hsing
- Stanford Prevention Research Center, Stanford Cancer Institute, Stanford, California
| | | | - Rachel S Kelly
- Systems Genetics and Genomics Unit, Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Chin Meng Khoo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Medicine, National University Health System, Singapore
- Duke–National University of Singapore Graduate Medical School, Singapore
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Bruce S Kristal
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Jessica Lasky-Su
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Deborah A Lawlor
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
| | - Luca A Lotta
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Loïc Le Marchand
- University of Hawaii Cancer Center, Epidemiology Program, Honolulu, Hawaii
| | - Ewy Mathé
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, Ohio
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Lorelei A Mucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston Massachusetts
| | - Rachel Murphy
- Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Matej Oresic
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Eric Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, Oregon
| | - Jennifer Ose
- Division of Cancer Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Alexandre C Pereira
- Instituto de Pesquisas Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil
| | - Mary C Playdon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
- Division of Cancer Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, Utah
| | - Lucilla Poston
- Department of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, St. Thomas’ Hospital, London, United Kingdom
| | - Jackie Price
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Kathryn Rexrode
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Adam Risch
- Information Management Services, Inc., Rockville, Maryland
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Howard D Sesso
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston Massachusetts
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Svati H Shah
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
- Duke Clinical Research Institute, Durham, North Carolina
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Gordon C S Smith
- Department of Obstetrics and Gynaecology, National Institute for Health Research, Cambridge Comprehensive Biomedical Research Center, University of Cambridge, Cambridge, United Kingdom
| | - Ulla Sovio
- Center for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom
| | - Victoria L Stevens
- Department of Obstetrics and Gynaecology, University of Cambridge, National Institute for Health Research Cambridge Comprehensive Biomedical Research Centre, Cambridge, United Kingdom
| | | | - Toru Takebayashi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Therese Tillin
- Institute of Cardiovascular Sciences, University College London, London, United Kingdom
| | - Ruth Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ioanna Tzoulaki
- Medical Research Council–Public Health England Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Cornelia M Ulrich
- Division of Cancer Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
- Framingham Heart Study, Framingham, Massachusetts
| | - Mukesh Verma
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland
| | - Ying Wang
- Department of Obstetrics and Gynaecology, University of Cambridge, National Institute for Health Research Cambridge Comprehensive Biomedical Research Centre, Cambridge, United Kingdom
| | - Nick J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at University College London, London, United Kingdom
| | - Naji Younes
- Department of Epidemiology and Biostatistics Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Hua Zhao
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| |
Collapse
|
143
|
Singer L, Green M, Rowe F, Ben-Shlomo Y, Morrissey K. Social determinants of multimorbidity and multiple functional limitations among the ageing population of England, 2002-2015. SSM Popul Health 2019; 8:100413. [PMID: 31194123 PMCID: PMC6551564 DOI: 10.1016/j.ssmph.2019.100413] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 03/29/2019] [Accepted: 05/14/2019] [Indexed: 12/29/2022] Open
Abstract
This study explores longitudinal relationships between material, psycho-social and behavioural social determinants of health and multimorbidity of people aged 50 years or older in England. We used data from the English Longitudinal Study of Ageing collected biannually between 2002 and 2015. Apart from the basic measure of multimorbidity (two or more diseases within a person) we constructed two distinct measures of health in order to take into account the biology of ageing (complex multimorbidity and multiple functional limitations). We found that the likelihood of multimorbidity and multiple functional limitations was consistently associated with the levels of household wealth, sense of control over one's life, physical activity and loneliness. Larger health inequalities were observed when health was measured as complex multimorbidity and multiple functional limitations than basic multimorbidity. Compared to the population group with the highest wealth, those with the lowest wealth had 47% higher odds of basic multimorbidity (95% C.I. 1.34-1.61), 73% higher odds of complex multimorbidity (95% C.I. 1.52-1.96) and 90% higher odds of having 10 or more functional limitations (95% C.I. 1.59-2.26). We did not find a dose-response relationship between alcohol consumption, smoking and multimorbidity but rather evidence of people in ill health actively moderating their health behaviour. We suggest that materialist models of multimorbidity and functional limitation at older age can not, on their own, explain the health inequalities as the behavioural and psycho-social factors play an important role. Policies aiming to reduce the risk of multimorbidity and functional limitation should address the issue at these three levels simultaneously, using the existing national infrastructure of General Practices. Multimorbidity and functional limitation were associated with household wealth, sense of control over life, physical activity, loneliness. We observed larger health inequalities for complex multimorbidity and multiple functional limitation than basic multimorbidity. Materialist models of multimorbidity do not explain inequalities. Behavioural and psycho-social factors play an important role.
Collapse
Affiliation(s)
- Leo Singer
- University of Liverpool, Department of Geography and Planning, Liverpool, United Kingdom
| | - Mark Green
- University of Liverpool, Department of Geography and Planning, Liverpool, United Kingdom
| | - Francisco Rowe
- University of Liverpool, Department of Geography and Planning, Liverpool, United Kingdom
| | - Yoav Ben-Shlomo
- University of Bristol, Bristol Medical School: Population Health Sciences, United Kingdom
| | - Karyn Morrissey
- University of Exeter, College of Medicine and Health, United Kingdom
| |
Collapse
|
144
|
Udayaraj UP, Watson O, Ben-Shlomo Y, Langdon M, Anderson K, Power A, Dudley C, Evans D, Burhouse A. Establishing a tele-clinic service for kidney transplant recipients through a patient-codesigned quality improvement project. BMJ Open Qual 2019; 8:e000427. [PMID: 31206050 PMCID: PMC6542422 DOI: 10.1136/bmjoq-2018-000427] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 02/27/2019] [Accepted: 03/03/2019] [Indexed: 11/03/2022] Open
Abstract
Kidney transplant patients in our regional centre travel long distances to attend routine hospital follow-up appointments. Patients incur travel costs and productivity losses as well as adverse environmental impacts. A significant proportion of these patients, who may not require physical examination, could potentially be managed through telephone consultations (tele-clinic). We adopted a Quality Improvement approach with iterative Plan-Do-Study-Act (PDSA) cycles to test the introduction of a tele-clinic service. We codesigned the service with patients and developed a prototype delivery model that we then tested over two PDSA improvement ramps containing multiple PDSA cycles to embed the model into routine service delivery. Nineteen tele-clinics were held involving 168 kidney transplant patients (202 tele-consultations). 2.9% of tele-clinic patients did not attend compared with 6.9% for face-to-face appointments. Improving both blood test quality and availability for the tele-clinic was a major focus of activity during the project. Blood test quality for tele-clinics improved from 25% to 90.9%. 97.9% of survey respondents were satisfied overall with their tele-clinic, and 96.9% of the patients would recommend this to other patients. The tele-clinic saved 3527 miles of motorised travel in total. This equates to a saving of 1035 kgCO2. There were no unplanned admissions within 30 days of the tele-clinic appointment. The service provided an immediate saving of £6060 for commissioners due to reduced tele-clinic tariff negotiated locally (£30 less than face-to-face tariff). The project has shown that tele-clinics for kidney transplant patients are deliverable and well received by patients with a positive environmental impact and modest financial savings. It has the potential to be rolled out to other renal centres if a national tele-clinic tariff can be negotiated, and an integrated, appropriately reimbursed community phlebotomy system can be developed to facilitate remote monitoring of patients.
Collapse
Affiliation(s)
| | | | - Yoav Ben-Shlomo
- Population Health sciences, University of Bristol Medical School, Bristol, UK
| | - Maria Langdon
- Richard Bright Renal Unit, North Bristol NHS Trust, Bristol, UK
| | - Karen Anderson
- Richard Bright Renal Unit, North Bristol NHS Trust, Bristol, UK
| | - Albert Power
- Richard Bright Renal Unit, North Bristol NHS Trust, Bristol, UK
| | | | - David Evans
- West of England Academic Health Science Network, Bristol, UK
| | - Anna Burhouse
- Rubis.Qi, Northumbria Healthcare NHS Foundation Trust, North Shields, UK
| |
Collapse
|
145
|
Morgan GS, Willmott M, Ben-Shlomo Y, Haase AM, Campbell RM. A life fulfilled: positively influencing physical activity in older adults - a systematic review and meta-ethnography. BMC Public Health 2019; 19:362. [PMID: 30940111 PMCID: PMC6444855 DOI: 10.1186/s12889-019-6624-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 03/05/2019] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Increasing physical activity in older adults remains a key public health priority in countries with a high burden of non-communicable disease, yet current interventions have failed to substantially increase population uptake with UK data suggesting that only half of 65-74 year olds report meeting recommended levels. The aim of this study was to conduct a systematic and inductive qualitative synthesis of the large body of qualitative research describing what influences physical activity at this age, and older adults' experiences of physical activity. METHODS A qualitative meta-ethnography was chosen as the study design as this inductive approach can provide novel insights and generate new theory about physical activity and ageing. Papers were identified by searching electronic databases and key citations. Peer-reviewed primary qualitative studies and systematic reviews were included if they met the following inclusion criteria: community-dwelling participants aged 60 years or older or in the retirement transition period; reporting on leisure-time physical activity; utilising a rigorous qualitative methodology. A line of argument approach was employed to generate a theory about how older adults think and feel about physical activity. RESULTS Thirty-nine papers met the inclusion criteria and were synthesised. The emergent theory suggested transition to older age can challenge people's sense of self and their role in life. Physical activity can help in regaining feelings of purpose, of being needed in collective group activity, and by creating habitual routine and structure to the day. In overcoming real and perceived barriers, and by taking up or sustaining physical activities, older adults can further build self-esteem all of which contributes to a fulfilling older age. CONCLUSION Current failures to increase population levels of physical activity in older adults may be explained by an approach overly focused on the health benefits of activity. Insights from this study suggest we need to reframe our approach to consider the wider set of goals and aspirations which are of greater personal importance to older adults, and future interventions should focus on how physical activity can contribute to life satisfaction, sense of purpose, and sense of role fulfilment in older age. TRIAL REGISTRATION Registered prospectively on PROSPERO on 29th March 2013: CRD42013003796 .
Collapse
Affiliation(s)
- Gemma S. Morgan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS UK
| | - Micky Willmott
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS UK
| | - Anne M. Haase
- School of Policy Studies, University of Bristol, Bristol, BS8 1TZ UK
| | - Rona M. Campbell
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS UK
| |
Collapse
|
146
|
Morgan GS, Haase AM, Campbell RM, Ben-Shlomo Y. A pilot randomised controlled trial of physical activity facilitation for older adults: feasibility study findings. Pilot Feasibility Stud 2019; 5:40. [PMID: 30891309 PMCID: PMC6407174 DOI: 10.1186/s40814-019-0414-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 02/06/2019] [Indexed: 11/10/2022] Open
Abstract
Background More people are living longer lives leading to a growth in the population of older adults, many of whom have comorbidities and low levels of physical function. Physical activity in later life can prevent or delay age-related disability. Identifying a cost-effective means of increasing physical activity in older adults therefore remains an important public health priority. Physical Activity Facilitation (PAF) is an intervention shown to increase physical activity in adults with depression. The PAF model was modified for a population of older adults at risk of disability. This study aimed to assess the feasibility of undertaking a definitive RCT of the PAF intervention in the target population. Methods A pilot randomised controlled trial (RCT) was delivered through primary care. Patients at risk of disability and who were not meeting recommended levels of physical activity were recruited through postal invitation and direct approach in the practice waiting room. Those meeting eligibility criteria were enrolled and randomised at a 2:1 ratio to the PAF intervention and control. Behaviour change techniques were used by facilitators with participants over the telephone and face-to-face for 6 months. Outcome measures including physical function, physical activity, depression, social support, and quality of life were collected at baseline and at 6 months. Results A high proportion of patients responded to the initial invitation (68%), yet many were ineligible due to high levels of self-reported physical activity and baseline physical function. Fifty-one participants were recruited to the trial, with an average age of 74 years (range 65–89), and there were high rates of adherence and retention to the study (94% follow-up at 6 months). The majority of outcome data collected from participants was complete; however, the validated scale used to measure self-reported physical activity was associated with high levels of missing data. Conclusions The findings of this pilot RCT suggest that it is feasible to deliver a definitive RCT of the PAF intervention in this population. Further work is required to improve the efficiency of recruitment and to minimise missing data from self-reported physical activity measures. Trial registration Current controlled trials ISRCTN80470273. Registered 25 October 2013. Electronic supplementary material The online version of this article (10.1186/s40814-019-0414-9) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Gemma S Morgan
- 1Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Anne M Haase
- 2School of Policy Studies, University of Bristol, Bristol, UK
| | - Rona M Campbell
- 1Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Yoav Ben-Shlomo
- 1Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| |
Collapse
|
147
|
Gardner M, Lightman S, Kuh D, Comijs H, Deeg D, Gallacher J, Geoffroy MC, Kivimaki M, Kumari M, Power C, Hardy R, Richards M, Ben-Shlomo Y. Dysregulation of the hypothalamic pituitary adrenal (HPA) axis and cognitive capability at older ages: individual participant meta-analysis of five cohorts. Sci Rep 2019; 9:4555. [PMID: 30872618 PMCID: PMC6418174 DOI: 10.1038/s41598-019-40566-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 02/19/2019] [Indexed: 01/04/2023] Open
Abstract
Evidence on the association between functioning of the hypothalamic pituitary adrenal (HPA) axis and cognitive capability at older ages is mixed. We undertook a systematic review (until October 2016) and individual participant data (IPD) meta-analysis to test if dysregulation of the HPA axis is associated with worse cognitive capability. Five cohort studies were included in the IPD meta-analysis of diurnal cortisol patterns with crystallised and fluid cognitive ability. Higher night time cortisol was associated with worse fluid ability (standardised coefficient per SD increase −0.063, 95% CI −0.124, −0.002, P = 0.04; I2 = 79.9%; age and gender adjusted). A larger diurnal drop was associated with better fluid ability (standardised coefficient per SD increase 0.037, 95% CI 0.008, 0.065, P = 0.01; I2 = 49.2%; age and gender adjusted). A bigger cortisol awakening response (CAR) was weakly associated with better fluid (P = 0.09; I2 = 0.0%; age and gender adjusted) and crystallised (P = 0.10; I2 = 0.0%; age and gender adjusted) ability. There is weak evidence that a greater diurnal decline of the HPA axis and a larger CAR are associated with improvements in cognition at older ages. As associations are cross-sectional, we cannot rule out reverse causation.
Collapse
Affiliation(s)
- Michael Gardner
- Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Stafford Lightman
- Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology, Bristol, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Hannie Comijs
- Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Dorly Deeg
- Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - John Gallacher
- Department of Psychiatry, University of Oxford, Oxford, UK
| | | | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, London, UK.,ISER, University of Essex, Essex, UK
| | - Chris Power
- Population, Policy and Practice, UCL, Great Ormond Street, Institute of Child Health, University College London, London, UK
| | - Rebecca Hardy
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | - Yoav Ben-Shlomo
- Department of Population Health Sciences, University of Bristol, Canynge Hall, Bristol, UK
| |
Collapse
|
148
|
Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, Boland A, Vronskaya M, van der Lee SJ, Amlie-Wolf A, Bellenguez C, Frizatti A, Chouraki V, Martin ER, Sleegers K, Badarinarayan N, Jakobsdottir J, Hamilton-Nelson KL, Moreno-Grau S, Olaso R, Raybould R, Chen Y, Kuzma AB, Hiltunen M, Morgan T, Ahmad S, Vardarajan BN, Epelbaum J, Hoffmann P, Boada M, Beecham GW, Garnier JG, Harold D, Fitzpatrick AL, Valladares O, Moutet ML, Gerrish A, Smith AV, Qu L, Bacq D, Denning N, Jian X, Zhao Y, Del Zompo M, Fox NC, Choi SH, Mateo I, Hughes JT, Adams HH, Malamon J, Sanchez-Garcia F, Patel Y, Brody JA, Dombroski BA, Naranjo MCD, Daniilidou M, Eiriksdottir G, Mukherjee S, Wallon D, Uphill J, Aspelund T, Cantwell LB, Garzia F, Galimberti D, Hofer E, Butkiewicz M, Fin B, Scarpini E, Sarnowski C, Bush WS, Meslage S, Kornhuber J, White CC, Song Y, Barber RC, Engelborghs S, Sordon S, Voijnovic D, Adams PM, Vandenberghe R, Mayhaus M, Cupples LA, Albert MS, De Deyn PP, Gu W, Himali JJ, Beekly D, Squassina A, Hartmann AM, Orellana A, Blacker D, Rodriguez-Rodriguez E, Lovestone S, Garcia ME, Doody RS, Munoz-Fernadez C, Sussams R, Lin H, Fairchild TJ, Benito YA, Holmes C, Karamujić-Čomić H, Frosch MP, Thonberg H, Maier W, Roshchupkin G, Ghetti B, Giedraitis V, Kawalia A, Li S, Huebinger RM, Kilander L, Moebus S, Hernández I, Kamboh MI, Brundin R, Turton J, Yang Q, Katz MJ, Concari L, Lord J, Beiser AS, Keene CD, Helisalmi S, Kloszewska I, Kukull WA, Koivisto AM, Lynch A, Tarraga L, Larson EB, Haapasalo A, Lawlor B, Mosley TH, Lipton RB, Solfrizzi V, Gill M, Longstreth WT, Montine TJ, Frisardi V, Diez-Fairen M, Rivadeneira F, Petersen RC, Deramecourt V, Alvarez I, Salani F, Ciaramella A, Boerwinkle E, Reiman EM, Fievet N, Rotter JI, Reisch JS, Hanon O, Cupidi C, Andre Uitterlinden AG, Royall DR, Dufouil C, Maletta RG, de Rojas I, Sano M, Brice A, Cecchetti R, George-Hyslop PS, Ritchie K, Tsolaki M, Tsuang DW, Dubois B, Craig D, Wu CK, Soininen H, Avramidou D, Albin RL, Fratiglioni L, Germanou A, Apostolova LG, Keller L, Koutroumani M, Arnold SE, Panza F, Gkatzima O, Asthana S, Hannequin D, Whitehead P, Atwood CS, Caffarra P, Hampel H, Quintela I, Carracedo Á, Lannfelt L, Rubinsztein DC, Barnes LL, Pasquier F, Frölich L, Barral S, McGuinness B, Beach TG, Johnston JA, Becker JT, Passmore P, Bigio EH, Schott JM, Bird TD, Warren JD, Boeve BF, Lupton MK, Bowen JD, Proitsi P, Boxer A, Powell JF, Burke JR, Kauwe JSK, Burns JM, Mancuso M, Buxbaum JD, Bonuccelli U, Cairns NJ, McQuillin A, Cao C, Livingston G, Carlson CS, Bass NJ, Carlsson CM, Hardy J, Carney RM, Bras J, Carrasquillo MM, Guerreiro R, Allen M, Chui HC, Fisher E, Masullo C, Crocco EA, DeCarli C, Bisceglio G, Dick M, Ma L, Duara R, Graff-Radford NR, Evans DA, Hodges A, Faber KM, Scherer M, Fallon KB, Riemenschneider M, Fardo DW, Heun R, Farlow MR, Kölsch H, Ferris S, Leber M, Foroud TM, Heuser I, Galasko DR, Giegling I, Gearing M, Hüll M, Geschwind DH, Gilbert JR, Morris J, Green RC, Mayo K, Growdon JH, Feulner T, Hamilton RL, Harrell LE, Drichel D, Honig LS, Cushion TD, Huentelman MJ, Hollingworth P, Hulette CM, Hyman BT, Marshall R, Jarvik GP, Meggy A, Abner E, Menzies GE, Jin LW, Leonenko G, Real LM, Jun GR, Baldwin CT, Grozeva D, Karydas A, Russo G, Kaye JA, Kim R, Jessen F, Kowall NW, Vellas B, Kramer JH, Vardy E, LaFerla FM, Jöckel KH, Lah JJ, Dichgans M, Leverenz JB, Mann D, Levey AI, Pickering-Brown S, Lieberman AP, Klopp N, Lunetta KL, Wichmann HE, Lyketsos CG, Morgan K, Marson DC, Brown K, Martiniuk F, Medway C, Mash DC, Nöthen MM, Masliah E, Hooper NM, McCormick WC, Daniele A, McCurry SM, Bayer A, McDavid AN, Gallacher J, McKee AC, van den Bussche H, Mesulam M, Brayne C, Miller BL, Riedel-Heller S, Miller CA, Miller JW, Al-Chalabi A, Morris JC, Shaw CE, Myers AJ, Wiltfang J, O'Bryant S, Olichney JM, Alvarez V, Parisi JE, Singleton AB, Paulson HL, Collinge J, Perry WR, Mead S, Peskind E, Cribbs DH, Rossor M, Pierce A, Ryan NS, Poon WW, Nacmias B, Potter H, Sorbi S, Quinn JF, Sacchinelli E, Raj A, Spalletta G, Raskind M, Caltagirone C, Bossù P, Orfei MD, Reisberg B, Clarke R, Reitz C, Smith AD, Ringman JM, Warden D, Roberson ED, Wilcock G, Rogaeva E, Bruni AC, Rosen HJ, Gallo M, Rosenberg RN, Ben-Shlomo Y, Sager MA, Mecocci P, Saykin AJ, Pastor P, Cuccaro ML, Vance JM, Schneider JA, Schneider LS, Slifer S, Seeley WW, Smith AG, Sonnen JA, Spina S, Stern RA, Swerdlow RH, Tang M, Tanzi RE, Trojanowski JQ, Troncoso JC, Van Deerlin VM, Van Eldik LJ, Vinters HV, Vonsattel JP, Weintraub S, Welsh-Bohmer KA, Wilhelmsen KC, Williamson J, Wingo TS, Woltjer RL, Wright CB, Yu CE, Yu L, Saba Y, Pilotto A, Bullido MJ, Peters O, Crane PK, Bennett D, Bosco P, Coto E, Boccardi V, De Jager PL, Lleo A, Warner N, Lopez OL, Ingelsson M, Deloukas P, Cruchaga C, Graff C, Gwilliam R, Fornage M, Goate AM, Sanchez-Juan P, Kehoe PG, Amin N, Ertekin-Taner N, Berr C, Debette S, Love S, Launer LJ, Younkin SG, Dartigues JF, Corcoran C, Ikram MA, Dickson DW, Nicolas G, Campion D, Tschanz J, Schmidt H, Hakonarson H, Clarimon J, Munger R, Schmidt R, Farrer LA, Van Broeckhoven C, C O'Donovan M, DeStefano AL, Jones L, Haines JL, Deleuze JF, Owen MJ, Gudnason V, Mayeux R, Escott-Price V, Psaty BM, Ramirez A, Wang LS, Ruiz A, van Duijn CM, Holmans PA, Seshadri S, Williams J, Amouyel P, Schellenberg GD, Lambert JC, Pericak-Vance MA. Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat Genet 2019; 51:414-430. [PMID: 30820047 PMCID: PMC6463297 DOI: 10.1038/s41588-019-0358-2] [Citation(s) in RCA: 1518] [Impact Index Per Article: 303.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 01/22/2019] [Indexed: 02/08/2023]
Abstract
Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer's or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer's disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 × 10-7), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.
Collapse
Affiliation(s)
- Brian W Kunkle
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Benjamin Grenier-Boley
- Inserm, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- Univ. Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff, UK
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Vincent Damotte
- Inserm, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- Univ. Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
| | - Adam C Naj
- Department of Biostatistics and Epidemiology/Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Anne Boland
- Centre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, CEA, Université Paris-Saclay, and LabEx GENMED, Evry, France
| | - Maria Vronskaya
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Sven J van der Lee
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Alexandre Amlie-Wolf
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Céline Bellenguez
- Inserm, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- Univ. Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
| | - Aura Frizatti
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Vincent Chouraki
- Inserm, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- Univ. Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Eden R Martin
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Kristel Sleegers
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium
- Laboratory for Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Nandini Badarinarayan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | | | - Kara L Hamilton-Nelson
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sonia Moreno-Grau
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades-Universitat Internacional de Catalunya, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain
| | - Robert Olaso
- Centre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, CEA, Université Paris-Saclay, and LabEx GENMED, Evry, France
| | - Rachel Raybould
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff, UK
| | - Yuning Chen
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Amanda B Kuzma
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Taniesha Morgan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Badri N Vardarajan
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
- Department of Neurology, Columbia University, New York, NY, USA
| | - Jacques Epelbaum
- UMR 894, Center for Psychiatry and Neuroscience, Inserm, Université Paris Descartes, Paris, France
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
- Division of Medical Genetics, University Hospital and Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Merce Boada
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades-Universitat Internacional de Catalunya, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain
| | - Gary W Beecham
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jean-Guillaume Garnier
- Centre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, CEA, Université Paris-Saclay, and LabEx GENMED, Evry, France
| | - Denise Harold
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Annette L Fitzpatrick
- Department of Family Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Otto Valladares
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Marie-Laure Moutet
- Centre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, CEA, Université Paris-Saclay, and LabEx GENMED, Evry, France
| | - Amy Gerrish
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Liming Qu
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Delphine Bacq
- Centre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, CEA, Université Paris-Saclay, and LabEx GENMED, Evry, France
| | - Nicola Denning
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff, UK
| | - Xueqiu Jian
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Yi Zhao
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Maria Del Zompo
- Section of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Seung-Hoan Choi
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades-Universitat Internacional de Catalunya, Barcelona, Spain
| | - Ignacio Mateo
- Neurology Service and CIBERNED, 'Marqués de Valdecilla' University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | - Joseph T Hughes
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hieab H Adams
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - John Malamon
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Yogen Patel
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Beth A Dombroski
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Makrina Daniilidou
- Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | | | - David Wallon
- Normandie University, UNIROUEN, Inserm U1245, and Rouen University Hospital, Department of Neurology, Department of Genetics and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - James Uphill
- Department of Neurodegenerative Disease, MRC Prion Unit at UCL, Institute of Prion Diseases, London, UK
| | - Thor Aspelund
- Icelandic Heart Association, Kopavogur, Iceland
- Centre for Public Health, University of Iceland, Reykjavik, Iceland
| | - Laura B Cantwell
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Fabienne Garzia
- Centre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, CEA, Université Paris-Saclay, and LabEx GENMED, Evry, France
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy
- University of Milan, Centro Dino Ferrari, Milan, Italy
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Mariusz Butkiewicz
- Institute for Computational Biology, Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Bertrand Fin
- Centre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, CEA, Université Paris-Saclay, and LabEx GENMED, Evry, France
| | - Elio Scarpini
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy
- University of Milan, Centro Dino Ferrari, Milan, Italy
| | - Chloe Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Will S Bush
- Institute for Computational Biology, Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Stéphane Meslage
- Centre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, CEA, Université Paris-Saclay, and LabEx GENMED, Evry, France
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Charles C White
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Yuenjoo Song
- Institute for Computational Biology, Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Robert C Barber
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Sebastiaan Engelborghs
- Laboratory for Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Department of Neurology and Memory Clinic, Hospital Network Antwerp, Antwerp, Belgium
| | - Sabrina Sordon
- Department of Psychiatry and Psychotherapy, University Hospital, Saarland, Germany
| | - Dina Voijnovic
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Perrie M Adams
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurology, University Hospital and University of Leuven, Leuven, Belgium
| | - Manuel Mayhaus
- Department of Psychiatry and Psychotherapy, University Hospital, Saarland, Germany
| | - L Adrienne Cupples
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Peter P De Deyn
- Laboratory for Neurochemistry and Behavior, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Department of Neurology and Memory Clinic, Hospital Network Antwerp, Antwerp, Belgium
| | - Wei Gu
- Department of Psychiatry and Psychotherapy, University Hospital, Saarland, Germany
| | - Jayanadra J Himali
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Duane Beekly
- National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Alessio Squassina
- Section of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Annette M Hartmann
- Department of Psychiatry, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Adelina Orellana
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades-Universitat Internacional de Catalunya, Barcelona, Spain
| | - Deborah Blacker
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Eloy Rodriguez-Rodriguez
- Neurology Service and CIBERNED, 'Marqués de Valdecilla' University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | | | - Melissa E Garcia
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD, USA
| | - Rachelle S Doody
- Alzheimer's Disease and Memory Disorders Center, Baylor College of Medicine, Houston, TX, USA
| | - Carmen Munoz-Fernadez
- Department of Immunology, Hospital Universitario Doctor Negrín, Las Palmas de Gran Canaria, Spain
| | - Rebecca Sussams
- Division of Clinical Neurosciences, School of Medicine, University of Southampton, Southampton, UK
| | - Honghuang Lin
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Thomas J Fairchild
- Office of Strategy and Measurement, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Yolanda A Benito
- Department of Immunology, Hospital Universitario Doctor Negrín, Las Palmas de Gran Canaria, Spain
| | - Clive Holmes
- Division of Clinical Neurosciences, School of Medicine, University of Southampton, Southampton, UK
| | | | - Matthew P Frosch
- C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Hakan Thonberg
- Theme Aging, Unit for Hereditary Dementias, Karolinska University Hospital-Solna, Stockholm, Sweden
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Alzheimer Research Center, Division of Neurogeriatrics, Solna, Sweden
| | - Wolfgang Maier
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Gennady Roshchupkin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Bernardino Ghetti
- Department of Pathology and Laboratory Medicine, Indiana University, Indianapolis, IN, USA
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Amit Kawalia
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Shuo Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Ryan M Huebinger
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Lena Kilander
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany
| | - Isabel Hernández
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades-Universitat Internacional de Catalunya, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain
| | - M Ilyas Kamboh
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
- Alzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - RoseMarie Brundin
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - James Turton
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Mindy J Katz
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Letizia Concari
- Section of Neuroscience, DIMEC-University of Parma, Parma, Italy
- FERB-Alzheimer Center, Gazzaniga (Bergamo), Italy
| | - Jenny Lord
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Alexa S Beiser
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Seppo Helisalmi
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Iwona Kloszewska
- Elderly and Psychiatric Disorders Department, Medical University of Lodz, Lodz, Poland
| | - Walter A Kukull
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Anne Maria Koivisto
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Aoibhinn Lynch
- Mercer's Institute for Research on Aging, St. James's Hospital and Trinity College, Dublin, Ireland
- St. James's Hospital and Trinity College, Dublin, Ireland
| | - Lluís Tarraga
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades-Universitat Internacional de Catalunya, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Annakaisa Haapasalo
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Brian Lawlor
- Mercer's Institute for Research on Aging, St. James's Hospital and Trinity College, Dublin, Ireland
- St. James's Hospital and Trinity College, Dublin, Ireland
| | - Thomas H Mosley
- Departments of Medicine, Geriatrics, Gerontology and Neurology, University of Mississippi Medical Center, Jackson, MS, USA
| | - Richard B Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Vincenzo Solfrizzi
- Interdisciplinary Department of Medicine, Geriatric Medicine and Memory Unity, University of Bari, Bari, Italy
| | - Michael Gill
- Mercer's Institute for Research on Aging, St. James's Hospital and Trinity College, Dublin, Ireland
- St. James's Hospital and Trinity College, Dublin, Ireland
| | - W T Longstreth
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Thomas J Montine
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Vincenza Frisardi
- Department of Geriatrics, Center for Aging Brain, University of Bari, Bari, Italy
| | - Monica Diez-Fairen
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Terrassa, Barcelona, Spain
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Barcelona, Spain
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdamt, the Netherlands
- Netherlands Consortium on Health Aging and National Genomics Initiative, Leiden, the Netherlands
| | | | - Vincent Deramecourt
- CHU Lille, Memory Center of Lille (Centre Mémoire de Ressources et de Recherche), Lille, France
| | - Ignacio Alvarez
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Terrassa, Barcelona, Spain
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Barcelona, Spain
| | - Francesca Salani
- Department of Clinical and Behavioral Neurology, Experimental Neuropsychobiology Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Antonio Ciaramella
- Department of Clinical and Behavioral Neurology, Experimental Neuropsychobiology Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Eric Boerwinkle
- School of Public Health, Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Eric M Reiman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
- Arizona Alzheimer's Consortium, Phoenix, AZ, USA
- Banner Alzheimer's Institute, Phoenix, AZ, USA
- Department of Psychiatry, University of Arizona, Phoenix, AZ, USA
| | - Nathalie Fievet
- Inserm, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- Univ. Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Joan S Reisch
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Olivier Hanon
- University Paris Descartes, EA 4468, AP-HP, Geriatrics Department, Hôpital Broca, Paris, France
| | - Chiara Cupidi
- Regional Neurogenetic Centre (CRN), ASP Catanzaro, Lamezia Terme, Italy
| | - A G Andre Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdamt, the Netherlands
- Netherlands Consortium on Health Aging and National Genomics Initiative, Leiden, the Netherlands
| | - Donald R Royall
- Departments of Psychiatry, Medicine, Family & Community Medicine, South Texas Veterans Health Administration Geriatric Research Education & Clinical Center (GRECC), UT Health Science Center at San Antonio, San Antonio, TX, USA
| | - Carole Dufouil
- University of Bordeaux, Inserm 1219, Bordeaux, France
- Department of Neurology, Bordeaux University Hospital / CHU de Bordeaux, Bordeaux, France
| | | | - Itziar de Rojas
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades-Universitat Internacional de Catalunya, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain
| | - Mary Sano
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexis Brice
- Inserm U1127, CNRS UMR 7225, Sorbonne Universités, UPMC Université Paris 06, UMRS 1127, Institut du Cerveau et de la Moelle Épinière, Paris, France
- AP-HP, Department of Genetics, Pitié-Salpêtrière Hospital, Paris, France
| | - Roberta Cecchetti
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Peter St George-Hyslop
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
| | - Karen Ritchie
- Inserm U1061 Neuropsychiatry, La Colombière Hospital, Montpellier, France
- Montpellier University, Montpellier, France
- Department of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Magda Tsolaki
- Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Debby W Tsuang
- VA Puget Sound Health Care System/>GRECC, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Bruno Dubois
- Institut de la Mémoire et de la Maladie d'Alzheimer and Institut du Cerveau et de la Moelle Épinière, Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France
- Institut des Neurosciences Translationnelles de Paris, Institut du Cerveau et de la Moelle Épinière, Paris, France
- Inserm, CNRS, UMR-S975, Institut du Cerveau et de la Moelle Epinière, Paris, France
- Sorbonne Universités, Université Pierre et Marie Curie, Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France
| | - David Craig
- Ageing Group, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Chuang-Kuo Wu
- Departments of Neurology, Pharmacology & Neuroscience, Texas Tech University Health Science Center, Lubbock, TX, USA
| | - Hilkka Soininen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Despoina Avramidou
- Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Roger L Albin
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- Geriatric Research, Education and Clinical Center (GRECC), VA Ann Arbor Healthcare System (VAAAHS), Ann Arbor, MI, USA
- Michigan Alzheimer Disease Center, Ann Arbor, MI, USA
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Antonia Germanou
- Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Liana G Apostolova
- Indiana Alzheimer's Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
- Department of Neurology, Indiana University, Indianapolis, IN, USA
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA
| | - Lina Keller
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Maria Koutroumani
- Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Steven E Arnold
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Francesco Panza
- Department of Geriatrics, Center for Aging Brain, University of Bari, Bari, Italy
| | - Olymbia Gkatzima
- Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Sanjay Asthana
- Geriatric Research, Education and Clinical Center (GRECC), University of Wisconsin, Madison, WI, USA
- Department of Medicine, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Didier Hannequin
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Patrice Whitehead
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Craig S Atwood
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
- Department of Neurology, Indiana University, Indianapolis, IN, USA
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA
| | - Paolo Caffarra
- Alzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, PA, USA
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Harald Hampel
- AXA Research Fund & Sorbonne University Chair, Paris, France
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France
- Brain & Spine Institute, Inserm U 1127, CNRS UMR 7225, Paris, France
- Institute of Memory and Alzheimer's Disease, Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Inés Quintela
- Grupo de Medicina Xenomica, Universidade de Santiago de Compostela, Centro Nacional de Genotipado, Centro de Investigación Biomédica en Red de Enfermedades Raras, Santiago de Compostela, Spain
| | - Ángel Carracedo
- Grupo de Medicina Xenomica, Universidade de Santiago de Compostela, Centro Nacional de Genotipado, Centro de Investigación Biomédica en Red de Enfermedades Raras, Santiago de Compostela, Spain
| | - Lars Lannfelt
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - David C Rubinsztein
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
- UK Dementia Research Institute, University of Cambridge, Cambridge, UK
| | - Lisa L Barnes
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Florence Pasquier
- CHU Lille, Memory Center of Lille (Centre Mémoire de Ressources et de Recherche), Lille, France
| | - Lutz Frölich
- Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Sandra Barral
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
- Department of Neurology, Columbia University, New York, NY, USA
| | - Bernadette McGuinness
- Ageing Group, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Thomas G Beach
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Phoenix, AZ, USA
| | - Janet A Johnston
- Ageing Group, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - James T Becker
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Peter Passmore
- Ageing Group, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Eileen H Bigio
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jonathan M Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Thomas D Bird
- Department of Neurology, University of Washington, Seattle, WA, USA
- VA Puget Sound Health Care System/>GRECC, Seattle, WA, USA
| | - Jason D Warren
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | | | - Michelle K Lupton
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | | | - Petra Proitsi
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Adam Boxer
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - John F Powell
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - James R Burke
- Department of Neurology, Duke University, Durham, NC, USA
| | - John S K Kauwe
- Departments of Biology, Brigham Young University, Provo, UT, USA
| | - Jeffrey M Burns
- University of Kansas Alzheimer's Disease Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Michelangelo Mancuso
- Department of Experimental and Clinical Medicine, Neurological Institute, University of Pisa, Pisa, Italy
| | - Joseph D Buxbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ubaldo Bonuccelli
- Department of Experimental and Clinical Medicine, Neurological Institute, University of Pisa, Pisa, Italy
| | - Nigel J Cairns
- Department of Pathology and Immunology, Washington University, St. Louis, MO, USA
| | | | - Chuanhai Cao
- USF Health Byrd Alzheimer's Institute, University of South Florida, Tampa, FL, USA
| | - Gill Livingston
- Division of Psychiatry, University College London, London, UK
| | - Chris S Carlson
- Department of Medicine, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Nicholas J Bass
- Division of Psychiatry, University College London, London, UK
| | | | - John Hardy
- Department of Molecular Neuroscience, UCL, Institute of Neurology, London, UK
| | - Regina M Carney
- Mental Health & Behavioral Science Service, Bruce W. Carter VA Medical Center, Miami, FL, USA
| | - Jose Bras
- UK Dementia Research Institute at UCL, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | | | - Rita Guerreiro
- UK Dementia Research Institute at UCL, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Mariet Allen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Helena C Chui
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
| | - Elizabeth Fisher
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Carlo Masullo
- Department of Neurology, Catholic University of Rome, Rome, Italy
| | - Elizabeth A Crocco
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Charles DeCarli
- Department of Neurology, University of California, Davis, Sacramento, CA, USA
| | - Gina Bisceglio
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Malcolm Dick
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Li Ma
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Ranjan Duara
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
| | | | - Denis A Evans
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Angela Hodges
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kelley M Faber
- Indiana Alzheimer's Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Martin Scherer
- Department of Primary Medical Care, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Kenneth B Fallon
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - David W Fardo
- Sanders-Brown Center on Aging, Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Reinhard Heun
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Martin R Farlow
- Department of Neurology, Indiana University, Indianapolis, IN, USA
| | - Heike Kölsch
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Steven Ferris
- Department of Psychiatry, New York University, New York, NY, USA
| | - Markus Leber
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Tatiana M Foroud
- Indiana Alzheimer's Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Isabella Heuser
- Department of Psychiatry and Psychotherapy, Charité University Medicine, Berlin, Germany
| | - Douglas R Galasko
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Ina Giegling
- Department of Psychiatry, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Marla Gearing
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
- Emory Alzheimer's Disease Center, Emory University, Atlanta, GA, USA
| | - Michael Hüll
- Department of Psychiatry, University of Freiburg, Freiburg, Germany
| | - Daniel H Geschwind
- Neurogenetics Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - John R Gilbert
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - John Morris
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Hope Center Program on Protein Aggregation and Neurodegeneration, Washington University School of Medicine, St. Louis, MO, USA
| | - Robert C Green
- Division of Genetics, Department of Medicine and Partners Center for Personalized Genetic Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kevin Mayo
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University, St. Louis, MO, USA
- Department of Genetics, Washington University, St. Louis, MO, USA
| | - John H Growdon
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Thomas Feulner
- Department of Psychiatry and Psychotherapy, University Hospital, Saarland, Germany
| | - Ronald L Hamilton
- Department of Pathology (Neuropathology), University of Pittsburgh, Pittsburgh, PA, USA
| | - Lindy E Harrell
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Dmitriy Drichel
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Lawrence S Honig
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
| | - Thomas D Cushion
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff, UK
| | - Matthew J Huentelman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Paul Hollingworth
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | | | - Bradley T Hyman
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Rachel Marshall
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Gail P Jarvik
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Medicine (Medical Genetics), University of Washington, Seattle, WA, USA
| | - Alun Meggy
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Erin Abner
- Sanders-Brown Center on Aging, College of Public Health, Department of Epidemiology, University of Kentucky, Lexington, KY, USA
| | - Georgina E Menzies
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff, UK
| | - Lee-Way Jin
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Sevilla, Spain
| | - Ganna Leonenko
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Luis M Real
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Sevilla, Spain
| | - Gyungah R Jun
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Clinton T Baldwin
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Detelina Grozeva
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | | | - Giancarlo Russo
- Functional Genomics Center Zurich, ETH/University of Zurich, Zurich, Switzerland
| | - Jeffrey A Kaye
- Department of Neurology, Oregon Health &Science University, Portland, OR, USA
- Department of Neurology, Portland Veterans Affairs Medical Center, Portland, OR, USA
| | - Ronald Kim
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA
| | - Frank Jessen
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Neil W Kowall
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Pathology, Boston University School of Medicine, Boston University, Boston, MA, USA
| | - Bruno Vellas
- Inserm U558, University of Toulouse, Toulouse, France
| | - Joel H Kramer
- Department of Neuropsychology, University of California San Francisco, San Francisco, CA, USA
| | - Emma Vardy
- Institute for Ageing and Health, Newcastle University, Newcastle upon Tyne, UK
| | - Frank M LaFerla
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, USA
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany
| | - James J Lah
- Department of Neurology, Emory University, Atlanta, GA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
| | - James B Leverenz
- Cleveland Clinic Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, OH, USA
| | - David Mann
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Allan I Levey
- Department of Neurology, Emory University, Atlanta, GA, USA
| | - Stuart Pickering-Brown
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | | | - Norman Klopp
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Munich, Germany
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - H-Erich Wichmann
- Helmholtz Center Munich, Institute of Epidemiology, Neuherberg, Munich, Germany
- Ludwig-Maximilians University Chair of Epidemiology, Munich, Germany
- Joint Biobank Munich and KORA Biobank, Baltimore, MD, USA
| | | | - Kevin Morgan
- Human Genetics, Schools of Life Sciences and Medicine, University of Nottingham, Nottingham, UK
| | - Daniel C Marson
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kristelle Brown
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Frank Martiniuk
- Department of Medicine-Pulmonary, New York University, New York, NY, USA
| | - Christopher Medway
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Deborah C Mash
- Department of Neurology, University of Miami, Miami, FL, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany
| | - Eliezer Masliah
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
- Department of Pathology, University of California, San Diego, La Jolla, CA, USA
| | - Nigel M Hooper
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | | | - Antonio Daniele
- Institute of Neurology, Catholic University of Sacred Hearth, Rome, Italy
| | - Susan M McCurry
- School of Nursing Northwest Research Group on Aging, University of Washington, Seattle, WA, USA
| | - Anthony Bayer
- Institute of Primary Care and Public Health, Cardiff University, University Hospital of Wales, Cardiff, UK
| | - Andrew N McDavid
- USF Health Byrd Alzheimer's Institute, University of South Florida, Tampa, FL, USA
| | - John Gallacher
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Ann C McKee
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Pathology, Boston University School of Medicine, Boston University, Boston, MA, USA
| | - Hendrik van den Bussche
- Department of Primary Medical Care, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Carol Brayne
- Cambridge Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Bruce L Miller
- Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Steffi Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Carol A Miller
- Department of Pathology, University of Southern California, Los Angeles, CA, USA
| | - Joshua W Miller
- Department of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, CA, USA
| | - Ammar Al-Chalabi
- Institute of Psychiatry, Psychology and Neuroscienceó, King's College London, London, UK
| | - John C Morris
- Department of Pathology and Immunology, Washington University, St. Louis, MO, USA
- Department of Neurology, Washington University, St. Louis, MO, USA
| | - Christopher E Shaw
- Institute of Psychiatry, Psychology and Neuroscienceó, King's College London, London, UK
- UK Dementia Research Institute, King's College London, London, UK
| | - Amanda J Myers
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany
- German Center for Neurodegenerative Diseases, Goettingen, Germany
- IBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Sid O'Bryant
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - John M Olichney
- Department of Neurology, University of California, Davis, Sacramento, CA, USA
| | - Victoria Alvarez
- Molecular Genetics Laboratory-Hospital, University of Central Asturias, Oviedo, Spain
| | - Joseph E Parisi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Andrew B Singleton
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Henry L Paulson
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- Michigan Alzheimer Disease Center, Ann Arbor, MI, USA
| | - John Collinge
- Department of Neurodegenerative Disease, MRC Prion Unit at UCL, Institute of Prion Diseases, London, UK
| | - William R Perry
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Simon Mead
- Department of Neurodegenerative Disease, MRC Prion Unit at UCL, Institute of Prion Diseases, London, UK
| | - Elaine Peskind
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David H Cribbs
- Department of Neurology, University of California, Irvine, Irvine, CA, USA
| | - Martin Rossor
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Aimee Pierce
- Department of Neurology, University of California, Irvine, Irvine, CA, USA
| | - Natalie S Ryan
- Department of Neurodegenerative Disease, MRC Prion Unit at UCL, Institute of Prion Diseases, London, UK
| | - Wayne W Poon
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Centro di Ricerca, Trasferimento e Alta Formazione DENOTHE, University of Florence, Florence, Italy
| | - Huntington Potter
- Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Joseph F Quinn
- Department of Primary Medical Care, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Eleonora Sacchinelli
- Department of Clinical and Behavioral Neurology, Experimental Neuropsychobiology Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Ashok Raj
- USF Health Byrd Alzheimer's Institute, University of South Florida, Tampa, FL, USA
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
- Division of Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Murray Raskind
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Carlo Caltagirone
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Paola Bossù
- Department of Clinical and Behavioral Neurology, Experimental Neuropsychobiology Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Maria Donata Orfei
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Barry Reisberg
- Department of Psychiatry, New York University, New York, NY, USA
- Alzheimer's Disease Center, New York University, New York, NY, USA
| | - Robert Clarke
- Oxford Healthy Aging Project, Clinical Trial Service Unit, University of Oxford, Oxford, UK
| | - Christiane Reitz
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - A David Smith
- Oxford Project to Investigate Memory and Ageing, University of Oxford, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
| | - John M Ringman
- Department of Neurology, Keck School of Medicine at the University of Southern California, Los Angeles, Los Angeles, CA, USA
| | - Donald Warden
- Oxford Project to Investigate Memory and Ageing, University of Oxford, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
| | - Erik D Roberson
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gordon Wilcock
- Oxford Project to Investigate Memory and Ageing, University of Oxford, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
| | | | - Howard J Rosen
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Maura Gallo
- Regional Neurogenetic Centre (CRN), ASP Catanzaro, Lamezia Terme, Italy
| | - Roger N Rosenberg
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Mark A Sager
- Department of Medicine, University of Wisconsin, Madison, WI, USA
| | - Patrizia Mecocci
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Andrew J Saykin
- Indiana Alzheimer's Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, Indiana University, Indianapolis, IN, USA
| | - Pau Pastor
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Terrassa, Barcelona, Spain
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Barcelona, Spain
| | - Michael L Cuccaro
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jeffery M Vance
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Julie A Schneider
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Pathology (Neuropathology), Rush University Medical Center, Chicago, IL, USA
| | - Lori S Schneider
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
- Department of Psychiatry, University of Southern California, Los Angeles, CA, USA
| | - Susan Slifer
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - William W Seeley
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Amanda G Smith
- USF Health Byrd Alzheimer's Institute, University of South Florida, Tampa, FL, USA
| | - Joshua A Sonnen
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Salvatore Spina
- Department of Pathology and Laboratory Medicine, Indiana University, Indianapolis, IN, USA
| | - Robert A Stern
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Russell H Swerdlow
- University of Kansas Alzheimer's Disease Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Mitchell Tang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rudolph E Tanzi
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Juan C Troncoso
- Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Vivianna M Van Deerlin
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | - Harry V Vinters
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jean Paul Vonsattel
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Pathology, Columbia University, New York, NY, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kathleen A Welsh-Bohmer
- Department of Neurology, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Kirk C Wilhelmsen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer Williamson
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
| | - Thomas S Wingo
- Department of Neurology, Emory University, Atlanta, GA, USA
- Department of Human Genetics, Emory University, Atlanta, GA, USA
| | - Randall L Woltjer
- Department of Pathology, Oregon Health & Science University, Portland, OR, USA
| | - Clinton B Wright
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Chang-En Yu
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Lei Yu
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Yasaman Saba
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Division of Molecular Biology and Biochemistry, Medical University Graz, Graz, Austria
| | - Alberto Pilotto
- Gerontology and Geriatrics Research Laboratory, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
- Department Geriatric Care, Orthogeriatrics and Rehabilitation, Galliera Hospital, Genova, Italy
| | - Maria J Bullido
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain
- IdiPAZ, Instituto de Investigación Sanitaria la Paz, Madrid, Spain
- Centro de Biologia Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain
| | - Oliver Peters
- Department of Psychiatry and Psychotherapy, Charité University Medicine, Berlin, Germany
- German Center for Neurodegenerative Diseases, Berlin, Germany
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - David Bennett
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Paola Bosco
- Instituto di Ricovero e Cura a Carattere Scientifico, Associazione Oasi Maria Santissima Srl, Troina, Italy
| | - Eliecer Coto
- Molecular Genetics Laboratory-Hospital, University of Central Asturias, Oviedo, Spain
| | - Virginia Boccardi
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Phil L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Alberto Lleo
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Autonomous University Barcelona, Barcelona, Spain
| | - Nick Warner
- Somerset Partnership NHS Trust, Somerset, UK
| | - Oscar L Lopez
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Alzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Martin Ingelsson
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | | | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Hope Center Program on Protein Aggregation and Neurodegeneration, Washington University School of Medicine, St. Louis, MO, USA
| | - Caroline Graff
- Theme Aging, Unit for Hereditary Dementias, Karolinska University Hospital-Solna, Stockholm, Sweden
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Alzheimer Research Center, Division of Neurogeriatrics, Solna, Sweden
| | - Rhian Gwilliam
- The Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Alison M Goate
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pascual Sanchez-Juan
- Neurology Service and CIBERNED, 'Marqués de Valdecilla' University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | - Patrick G Kehoe
- University of Bristol Medical School, Learning & Research level 2, Southmead Hospital, Bristol, UK
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Nilifur Ertekin-Taner
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Claudine Berr
- Inserm U1061 Neuropsychiatry, La Colombière Hospital, Montpellier, France
- Montpellier University, Montpellier, France
| | - Stéphanie Debette
- Inserm U1127, CNRS UMR 7225, Sorbonne Universités, UPMC Université Paris 06, UMRS 1127, Institut du Cerveau et de la Moelle Épinière, Paris, France
- AP-HP, Department of Genetics, Pitié-Salpêtrière Hospital, Paris, France
| | - Seth Love
- University of Bristol Medical School, Learning & Research level 2, Southmead Hospital, Bristol, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD, USA
| | - Steven G Younkin
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | | | | | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Departments of Radiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | | | - Gael Nicolas
- Normandie University, UNIROUEN, Inserm U1245, and Rouen University Hospital, Department of Neurology, Department of Genetics and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Rouen, France
| | - Dominique Campion
- Normandie University, UNIROUEN, Inserm U1245, and Rouen University Hospital, Department of Neurology, Department of Genetics and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, Rouen, France
- Department of Research Rouvray Psychiatric Hospital, Sotteville-lès-Rouen, France
| | | | - Helena Schmidt
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Division of Molecular Biology and Biochemistry, Medical University Graz, Graz, Austria
- Department of Neurology, Medical University Graz, Graz, Austria
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jordi Clarimon
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Autonomous University Barcelona, Barcelona, Spain
| | | | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz, Austria
| | - Lindsay A Farrer
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
- Department of Ophthalmology, Boston University School of Medicine, Boston University, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium
- Laboratory for Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Michael C O'Donovan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Anita L DeStefano
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Lesley Jones
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff, UK
| | - Jonathan L Haines
- Institute for Computational Biology, Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Jean-Francois Deleuze
- Centre National de Recherche en Génomique Humaine, Institut de Biologie François Jacob, CEA, Université Paris-Saclay, and LabEx GENMED, Evry, France
| | - Michael J Owen
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Richard Mayeux
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
- Department of Neurology, Columbia University, New York, NY, USA
| | - Valentina Escott-Price
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff, UK
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente, Washington Health Research Institute, Seattle, WA, USA
| | - Alfredo Ramirez
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Agustin Ruiz
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades-Universitat Internacional de Catalunya, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Peter A Holmans
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Sudha Seshadri
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
| | - Julie Williams
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff, UK
| | - Phillippe Amouyel
- Inserm, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- Univ. Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
- Centre Hospitalier Universitaire de Lille, Lille, France
| | - Gerard D Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jean-Charles Lambert
- Inserm, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France.
- Institut Pasteur de Lille, Lille, France.
- Univ. Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France.
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA.
| |
Collapse
|
149
|
Palace J, Duddy M, Lawton M, Bregenzer T, Zhu F, Boggild M, Piske B, Robertson NP, Oger J, Tremlett H, Tilling K, Ben-Shlomo Y, Lilford R, Dobson C. Assessing the long-term effectiveness of interferon-beta and glatiramer acetate in multiple sclerosis: final 10-year results from the UK multiple sclerosis risk-sharing scheme. J Neurol Neurosurg Psychiatry 2019; 90:251-260. [PMID: 30242090 PMCID: PMC6518464 DOI: 10.1136/jnnp-2018-318360] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 06/14/2018] [Accepted: 07/07/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Because multiple sclerosis (MS) is a chronic disease causing disability over decades, it is crucial to know if the short-term effects of disease-modifying therapies reported in randomised controlled trials reduce long-term disability. This 10-year prospective observational study of disability outcomes (Expanded Disability Status Scale (EDSS) and utility) was set up, in conjunction with a risk-sharing agreement between payers and producers, to investigate this issue. METHODS The outcomes of the UK treated patients were compared with a modelled untreated control based on the British Columbia MS data set to assess the long-term effectiveness of these treatments. Two complementary analysis models were used: a multilevel model (MLM) and a continuous Markov model. RESULTS 4862 patients with MS were eligible for the primary analysis (mean and median follow-up times 8.7 and 10 years). EDSS worsening was reduced by 28% (MLM), 7% (Markov) and 24% time-adjusted Markov in the total cohort, and by 31% (MLM) and 14% (Markov) for relapsing remitting patients. The utility worsening was reduced by 23%-24% in the total cohort and by 24%-31% in the RR patients depending on the model used. All sensitivity analyses showed a treatment effect. There was a 4-year (CI 2.7 to 5.3) delay to EDSS 6.0. An apparent waning of treatment effect with time was seen. Subgroup analyses suggested better treatment effects in those treated earlier and with lower EDSS scores. CONCLUSIONS This study supports a beneficial effect on long-term disability with first-line MS disease-modifying treatments, which is clinically meaningful. However the waning effect noted requires further study.
Collapse
Affiliation(s)
- Jacqueline Palace
- Clinical Neurology, The Oxford University Hospitals Trust, Oxford, UK
| | - Martin Duddy
- Department of Neurology, The Newcastle upon Tyne Hospitals Trust, Newcastle upon Tyne, UK
| | - Michael Lawton
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Feng Zhu
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Mike Boggild
- The Townsville Hospital, Townsville, Queensland, Australia
| | | | - Neil P Robertson
- Institute of Psychological Medicine and Clinical Neuroscience, Cardiff University, University Hospital of Wales, Cardiff, UK
| | - Joel Oger
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Helen Tremlett
- Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Kate Tilling
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | | |
Collapse
|
150
|
Pennells L, Kaptoge S, Wood A, Sweeting M, Zhao X, White I, Burgess S, Willeit P, Bolton T, Moons KGM, van der Schouw YT, Selmer R, Khaw KT, Gudnason V, Assmann G, Amouyel P, Salomaa V, Kivimaki M, Nordestgaard BG, Blaha MJ, Kuller LH, Brenner H, Gillum RF, Meisinger C, Ford I, Knuiman MW, Rosengren A, Lawlor DA, Völzke H, Cooper C, Marín Ibañez A, Casiglia E, Kauhanen J, Cooper JA, Rodriguez B, Sundström J, Barrett-Connor E, Dankner R, Nietert PJ, Davidson KW, Wallace RB, Blazer DG, Björkelund C, Donfrancesco C, Krumholz HM, Nissinen A, Davis BR, Coady S, Whincup PH, Jørgensen T, Ducimetiere P, Trevisan M, Engström G, Crespo CJ, Meade TW, Visser M, Kromhout D, Kiechl S, Daimon M, Price JF, Gómez de la Cámara A, Wouter Jukema J, Lamarche B, Onat A, Simons LA, Kavousi M, Ben-Shlomo Y, Gallacher J, Dekker JM, Arima H, Shara N, Tipping RW, Roussel R, Brunner EJ, Koenig W, Sakurai M, Pavlovic J, Gansevoort RT, Nagel D, Goldbourt U, Barr ELM, Palmieri L, Njølstad I, Sato S, Monique Verschuren WM, Varghese CV, Graham I, Onuma O, Greenland P, Woodward M, Ezzati M, Psaty BM, Sattar N, Jackson R, Ridker PM, Cook NR, D'Agostino RB, Thompson SG, Danesh J, Di Angelantonio E. Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies. Eur Heart J 2019; 40:621-631. [PMID: 30476079 PMCID: PMC6374687 DOI: 10.1093/eurheartj/ehy653] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 05/03/2018] [Accepted: 10/04/2018] [Indexed: 12/19/2022] Open
Abstract
AIMS There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after 'recalibration', a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied. METHODS AND RESULTS Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at 'high' 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10%, 52%, and 41%, respectively, whereas RRS under-predicted by 10%. Original versions of algorithms classified 29-39% of individuals aged ≥40 years as high risk. By contrast, recalibration reduced this proportion to 22-24% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44-51 such individuals using original algorithms, in contrast to 37-39 individuals with recalibrated algorithms. CONCLUSION Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need.
Collapse
Affiliation(s)
- Lisa Pennells
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Stephen Kaptoge
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Angela Wood
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Mike Sweeting
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Xiaohui Zhao
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| | - Ian White
- MRC Clinical Trials Unit, University College London, 90 High Holborn, London, UK
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
- MRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, UK
| | - Peter Willeit
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
- Department of Neurology and Neurosurgery, Medical University of Innsbruck, Anichstraße 35, Innsbruck, Austria
| | - Thomas Bolton
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Karel G M Moons
- Epidemiology: Methodology, Julius Center Research Program Methodology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Department of Epidemiology, Julius Center Research Program Cardiovascular Epidemiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, the Netherlands
| | - Randi Selmer
- Division of Epidemiology, Norwegian Institute of Public Health, Postboks 222 Skøyen, Oslo, Norway
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Vilmundur Gudnason
- Icelandic Heart Association, Hjartavernd Holtasmá¡ri 1, Kópavogur, Iceland
- Faculty of Medicine, University of Iceland, Vatnsmýrarvegur 16, Reykjavik, Iceland
| | - Gerd Assmann
- Assmann-Foundation for Prevention, Gronowskistraße 33, Münster, Germany
| | - Philippe Amouyel
- Institut Pasteur de Lille, 1 rue du Professeur Calmette, Lille, France
| | - Veikko Salomaa
- National Institute for Health and Welfare, Mannerheimintie 166, Helsinki, Finland
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, UK
| | - Børge G Nordestgaard
- Department of Clinical Medicine, Copenhagen University Hospital, Blegdamsvej 3, Copenhagen, Denmark
| | - Michael J Blaha
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD, USA
| | - Lewis H Kuller
- Department of Epidemiology, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Neuenheimer Feld 581, Heidelberg, Germany
- University of Heidelberg, Grabengasse 1, Heidelberg, Germany
| | - Richard F Gillum
- Department of Medicine, Howard University College of Medicine, 2041 Georgia Avenue, Washington, DC, USA
| | - Christa Meisinger
- German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg, Germany
| | - Ian Ford
- Institute of Health & Wellbeing, University of Glasgow, Boyd Orr Building, University Avenue, Glasgow, UK
| | - Matthew W Knuiman
- Faculty of Health and Medical Sciences, School of Population and Global Health, University of Western Australia, 35 Stirling Highway, Perth, Western Australia, Australia
| | - Annika Rosengren
- Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 3, Gothenburg, Sweden
- Wallenberg Laboratory, Sahlgrenska University Hospital, Blå stråket 5, Gothenburg, Sweden
| | - Debbie A Lawlor
- Department of Social Medicine, University of Bristol, Bristol, UK
| | - Henry Völzke
- Institute of Community Medicine, University of Greifswald, Ellernholzstraße 1/2, Greifswald, Germany
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Tremona Rd, Southampton, UK
| | | | - Edoardo Casiglia
- Department of Medicine, University of Padova, 2 Via Giustiniani, Padova, Italy
| | - Jussi Kauhanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 1 Yliopistonranta, Kuopio, Finland
| | - Jackie A Cooper
- Centre for Cardiovascular Genetics, University College London, 5 University Street, London, UK
| | - Beatriz Rodriguez
- Department of Geriatric Medicine, University of Hawaii, 1960 East-West Road, Honolulu, HI, USA
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Ing 40, 5 tr, Uppsala, Sweden
| | | | - Rachel Dankner
- Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
| | - Paul J Nietert
- Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Charleston, SC, USA
| | - Karina W Davidson
- Department of Medicine, Columbia University Irving Medical Center, 622 West 168th Street, New York, NY, USA
| | - Robert B Wallace
- College of Public Health, University of Iowa, 145 N. Riverside Drive, Iowa City, IA, USA
| | - Dan G Blazer
- Department of Surgery, Duke University Medical Center, 2301 Erwin Rd, Durham, NC, USA
| | - Cecilia Björkelund
- Department of Public Health and Community Medicine, University of Gothenburg, Medicinaregatan 16, Gothenburg, Sweden
| | - Chiara Donfrancesco
- Department of Cardiovascular, Dysmetabolic and Aging-Associated Diseases, Istituto Superiore di Sanità (ISS), 299 Viale Regina Elena, Rome, Italy
| | | | - Aulikki Nissinen
- National Institute for Health and Welfare, Mannerheimintie 166, Helsinki, Finland
| | - Barry R Davis
- Department of Biostatistics, The University of Texas School of Public Health, 1200 Pressler Street, Houston, TX, USA
| | - Sean Coady
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, 31 Center Drive, Bethesda, MD, USA
| | - Peter H Whincup
- Population Health Research Institute, St George's, University of London, Cranmer Terrace, London, UK
| | - Torben Jørgensen
- Research Centre for Prevention and Health, 5 Øster Farimagsgade, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, 5 Øster Farimagsgade, Copenhagen, Denmark
- Aalborg University, Fredrik Bajers Vej 5, Aalborg, Denmark
| | - Pierre Ducimetiere
- Faculté de Médecine, Université Paris Descartes, 12 Rue de l'Ecole de Médecine, Paris, France
| | - Maurizio Trevisan
- CUNY School of Medicine, City College of New York, 160 Convent Ave, New York, NY, USA
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, Malmö, Sweden
| | - Carlos J Crespo
- School of Community Health, Portland State University, 506 SW Mill St, Portland, OR, USA
| | - Tom W Meade
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Marjolein Visser
- Department of Health Sciences, Vrije Universiteit Amsterdam, VU University Medical Center, De Boelelaan 1085, Amsterdam, the Netherlands
| | - Daan Kromhout
- Department of Epidemiology, University Medical Centre Groningen, University of Grogingen, Hanzeplein 1, Groningen, the Netherlands
| | - Stefan Kiechl
- Department of Neurology and Neurosurgery, Medical University of Innsbruck, Anichstraße 35, Innsbruck, Austria
| | - Makoto Daimon
- Faculty of Medicine, Yamagata University, 1-4-12 Kojirakawa-machi, Yamagata, Japan
| | - Jackie F Price
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Old Medical School, Teviot Place, Edinburgh, UK
| | | | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, Leiden, the Netherlands
| | - Benoît Lamarche
- Pavillon Ferdinand-Vandry, Université Laval, 2440 Hochelaga, Quebec, Canada
| | - Altan Onat
- Department of Cardiology, Cerrahpaşa Faculty of Medicine, Istanbul University, Beyazıt, Fatih, Istanbul, Turkey
| | | | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, Rotterdam, the Netherlands
| | - Yoav Ben-Shlomo
- Bristol Neuroscience, Bristol University, Queens Road, Bristol, UK
| | - John Gallacher
- Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, UK
| | - Jacqueline M Dekker
- The Institute for Health and Care Research, VU University Medical Center, De Boelelaan 1085, Amsterdam, the Netherlands
| | | | - Nawar Shara
- Department of Biostatistics and Bioinformatics, MedStar Health Research Institute, 6525 Belcrest Road, Hyattsville, MD, USA
| | - Robert W Tipping
- Clinical Biostatistics, Merck, 2000 Galloping Hill Road, Kenilworth, NJ, USA
| | - Ronan Roussel
- Centre de Recherche des Cordeliers, INSERM, 15 rue de l'Ecole de Médecine, Paris, France
| | - Eric J Brunner
- Institute of Epidemiology & Health, University College London, 1-19 Torrington Place, London, UK
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, 21 Arcisstraße, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Biedersteiner Str. 29, Munich, Germany
| | - Masaru Sakurai
- Department of Social and Environmental Medicine, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Ishikawa, Japan
| | - Jelena Pavlovic
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, Rotterdam, the Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, University Medical Centre Groningen, University of Grogingen, Hanzeplein 1, Groningen, the Netherlands
| | - Dorothea Nagel
- Klinikum der Universität München, Ludwig-Maximilians-Universität, 15 Marchioninistraße, Munich, Germany
| | - Uri Goldbourt
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
| | - Elizabeth L M Barr
- Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, Australia
| | - Luigi Palmieri
- Department of Cardiovascular, Dysmetabolic and Aging-Associated Diseases, Istituto Superiore di Sanità (ISS), 299 Viale Regina Elena, Rome, Italy
| | - Inger Njølstad
- Department of Public Health, University of Tromsø, Hansine Hansens veg 18, Tromsø, Norway
| | - Shinichi Sato
- Chiba Prefectural Institute of Public Health, 666-2 Nito-no-machi Chuo-ku, Chiba, Japan
| | - W M Monique Verschuren
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven, The Netherlands
| | - Cherian V Varghese
- Noncommunicable Diseases, Disability, Violence and Injury Prevention Department, World Health Organization, 20 Avenue Appia, Geneva 27, Switzerland
| | - Ian Graham
- School of Medicine, Trinity College Dublin, The University of Dublin, College Green, Dublin 2, Ireland
| | - Oyere Onuma
- Noncommunicable Diseases, Disability, Violence and Injury Prevention Department, World Health Organization, 20 Avenue Appia, Geneva 27, Switzerland
| | - Philip Greenland
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 420 East Superior Street, Chicago, IL, USA
| | - Mark Woodward
- The George Institute for Global Health, University of Oxford, 75 George Street, Oxford, UK
- The George Institute for Global Health, University of New South Wales, 1 King Street Newtown, Sydney, Australia
| | - Majid Ezzati
- Faculty of Medicine, School of Public Health, Norfolk Place, St Mary's Campus, Imperial College London, London, UK
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, University of Washington, 1730 Minor Avenue, Seattle, WA, USA
| | - Naveed Sattar
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, 126 University Place, Glasgow, UK
| | - Rod Jackson
- Faculty of Medical and Health Sciences, University of Auckland, 261 Morrin Road, Auckland, New Zealand
| | - Paul M Ridker
- Brigham and Women's Hospital, Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, USA
| | - Nancy R Cook
- Brigham and Women's Hospital, Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, USA
| | - Ralph B D'Agostino
- Mathematics and Statistics Department, Boston University, 111 Cummington Mall, Boston, MA, USA
| | - Simon G Thompson
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - John Danesh
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Emanuele Di Angelantonio
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| |
Collapse
|