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Mozooni M, Preen D, Pennell C. 1.1-O1The ‘Healthy Migrant Phenomenon’: how long does it last? Eur J Public Health 2018. [DOI: 10.1093/eurpub/cky047.001] [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: 11/13/2022] Open
Affiliation(s)
- M Mozooni
- Division of Obstetrics and Gynaecology, Medical School, The University of Western Australia, Perth, Australia
- School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - D Preen
- School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - C Pennell
- Division of Obstetrics and Gynaecology, Medical School, The University of Western Australia, Perth, Australia
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Warrington NM, Richmond R, Fenstra B, Myhre R, Gaillard R, Paternoster L, Wang CA, Beaumont RN, Das S, Murcia M, Barton SJ, Espinosa A, Thiering E, Atalay M, Pitkänen N, Ntalla I, Jonsson AE, Freathy R, Karhunen V, Tiesler CMT, Allard C, Crawford A, Ring SM, Melbye M, Magnus P, Rivadeneira F, Skotte L, Hansen T, Marsh J, Guxens M, Holloway JW, Grallert H, Jaddoe VWV, Lowe Jr WL, Roumeliotaki T, Hattersley AT, Lindi V, Pahkala K, Panoutsopoulou K, Standl M, Flexeder C, Bouchard L, Aagaard Nohr E, Marina LS, Kogevinas M, Niinikoski H, Dedoussis G, Heinrich J, Reynolds RM, Lakka T, Zeggini E, Raitakari OT, Chatzi L, Inskip HM, Bustamante M, Hivert MF, Jarvelin MR, Sørensen TIA, Pennell C, Felix JF, Jacobsson B, Geller F, Evans DM, Lawlor DA. Maternal and fetal genetic contribution to gestational weight gain. Int J Obes (Lond) 2018; 42:775-784. [PMID: 28990592 PMCID: PMC5784805 DOI: 10.1038/ijo.2017.248] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 08/27/2017] [Accepted: 09/03/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Clinical recommendations to limit gestational weight gain (GWG) imply high GWG is causally related to adverse outcomes in mother or offspring, but GWG is the sum of several inter-related complex phenotypes (maternal fat deposition and vascular expansion, placenta, amniotic fluid and fetal growth). Understanding the genetic contribution to GWG could help clarify the potential effect of its different components on maternal and offspring health. Here we explore the genetic contribution to total, early and late GWG. PARTICIPANTS AND METHODS A genome-wide association study was used to identify maternal and fetal variants contributing to GWG in up to 10 543 mothers and 16 317 offspring of European origin, with replication in 10 660 mothers and 7561 offspring. Additional analyses determined the proportion of variability in GWG from maternal and fetal common genetic variants and the overlap of established genome-wide significant variants for phenotypes relevant to GWG (for example, maternal body mass index (BMI) and glucose, birth weight). RESULTS Approximately 20% of the variability in GWG was tagged by common maternal genetic variants, and the fetal genome made a surprisingly minor contribution to explain variation in GWG. Variants near the pregnancy-specific beta-1 glycoprotein 5 (PSG5) gene reached genome-wide significance (P=1.71 × 10-8) for total GWG in the offspring genome, but did not replicate. Some established variants associated with increased BMI, fasting glucose and type 2 diabetes were associated with lower early, and higher later GWG. Maternal variants related to higher systolic blood pressure were related to lower late GWG. Established maternal and fetal birth weight variants were largely unrelated to GWG. CONCLUSIONS We found a modest contribution of maternal common variants to GWG and some overlap of maternal BMI, glucose and type 2 diabetes variants with GWG. These findings suggest that associations between GWG and later offspring/maternal outcomes may be due to the relationship of maternal BMI and diabetes with GWG.
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Affiliation(s)
- N M Warrington
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - R Richmond
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - B Fenstra
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - R Myhre
- Norwegian Institute of Public Health, Oslo, Norway
| | - R Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Paternoster
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - C A Wang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - R N Beaumont
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - S Das
- Department of Public Health and Primary Care, School of Public Health, Imperial College London, London, UK
| | - M Murcia
- Epidemiology and Environmental Health Joint Research Unit, FISABIO–Universitat Jaume I–Universitat de València, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
| | - S J Barton
- MRC Lifecourse Epidemiology Unit, Faulty of Medicine, University of Southampton, Southampton, UK
| | - A Espinosa
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - E Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - M Atalay
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - N Pitkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - I Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - A E Jonsson
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - R Freathy
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - V Karhunen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - C M T Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - C Allard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada
| | - A Crawford
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - S M Ring
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- ALSPAC (Children of the 90s), School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - M Melbye
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
- Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - P Magnus
- Norwegian Institute of Public Health, Oslo, Norway
| | - F Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Skotte
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - T Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - J Marsh
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - M Guxens
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre–Sophia Children’s Hospital, Rotterdam, The Netherlands
| | - J W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - H Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Clinical Cooperation Group Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- Technische Universität München, Freising, Germany
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - W L Lowe Jr
- Department of Medicine, Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - T Roumeliotaki
- Department of Social Medicine, University of Crete, Crete, Greece
| | - A T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - V Lindi
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - K Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Paavo Nurmi Centre, Sports and Exercise Medicine Unit, Department of Health and Physical Activity, Turku, Finland
| | - K Panoutsopoulou
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - M Standl
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - C Flexeder
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - L Bouchard
- Department of Biochemistry, Faculty of medicine and life sciences, Université de Sherbrooke, Sherbrooke, Canada
| | - E Aagaard Nohr
- Public Health Division of Gipuzkoa, Basque Government, Vitoria-Gasteiz, Spain
| | - L Santa Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- Health Research Institute, Biodonostia, San Sebastián, Gipuzkoa, Spain
- Health Research Institute, Biodonostia, San Sebastián, Spain
| | - M Kogevinas
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - H Niinikoski
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - G Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - J Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Inner City Clinic, University Hospital Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - R M Reynolds
- British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - T Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - E Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - O T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - L Chatzi
- Department of Social Medicine, University of Crete, Crete, Greece
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Social Medicine, University of Crete, Crete, Greece
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - H M Inskip
- MRC Lifecourse Epidemiology Unit, Faulty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Bustamante
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - M-F Hivert
- Department of Population Medicine at Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - M-R Jarvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC–PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - T I A Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formally the Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - C Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - J F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - B Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalization, Institute of Public Health, Oslo, Norway
| | - F Geller
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - D M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - D A Lawlor
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
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Hart R, Frederiksen H, Doherty D, Keelan J, Skakkebaek N, Minaee N, Handelsman D, Newnham J, Dickinson J, Pennell C, Norman R, Main K. The influence of maternal phthalate exposure upon adult male reproductive function. Fertil Steril 2017. [DOI: 10.1016/j.fertnstert.2017.07.103] [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] [Indexed: 10/18/2022]
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Pettigrew KA, Fajutrao Valles SF, Moll K, Northstone K, Ring S, Pennell C, Wang C, Leavett R, Hayiou-Thomas ME, Thompson P, Simpson NH, Fisher SE, Whitehouse AJO, Snowling MJ, Newbury DF, Paracchini S. Lack of replication for the myosin-18B association with mathematical ability in independent cohorts. Genes Brain Behav 2015; 14:369-76. [PMID: 25778778 PMCID: PMC4672701 DOI: 10.1111/gbb.12213] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [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: 12/09/2014] [Revised: 03/12/2015] [Accepted: 03/12/2015] [Indexed: 12/20/2022]
Abstract
Twin studies indicate that dyscalculia (or mathematical disability) is caused partly by a genetic component, which is yet to be understood at the molecular level. Recently, a coding variant (rs133885) in the myosin-18B gene was shown to be associated with mathematical abilities with a specific effect among children with dyslexia. This association represents one of the most significant genetic associations reported to date for mathematical abilities and the only one reaching genome-wide statistical significance. We conducted a replication study in different cohorts to assess the effect of rs133885 maths-related measures. The study was conducted primarily using the Avon Longitudinal Study of Parents and Children (ALSPAC), (N = 3819). We tested additional cohorts including the York Cohort, the Specific Language Impairment Consortium (SLIC) cohort and the Raine Cohort, and stratified them for a definition of dyslexia whenever possible. We did not observe any associations between rs133885 in myosin-18B and mathematical abilities among individuals with dyslexia or in the general population. Our results suggest that the myosin-18B variant is unlikely to be a main factor contributing to mathematical abilities.
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Affiliation(s)
- K A Pettigrew
- School of Medicine, University of St Andrews, St Andrews, UK
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Geller T, Prakash V, Batanian J, Guzman M, Duncavage E, Gershon T, Crowther A, Wu J, Liu H, Fang F, Davis I, Tripolitsioti D, Ma M, Kumar K, Grahlert J, Egli K, Fiaschetti G, Shalaby T, Grotzer M, Baumgartner M, Braoudaki M, Lambrou GI, Giannikou K, Millionis V, Papadodima SA, Settas N, Sfakianos G, Stefanaki K, Kattamis A, Spiliopoulou CA, Tzortzatou-Stathopoulou F, Kanavakis E, Gholamin S, Mitra S, Feroze A, Zhang M, Esparza R, Kahn S, Richard C, Achrol A, Volkmer A, Liu J, Volkmer J, Majeti R, Weissman I, Cheshier S, Bhatia K, Brown N, Teague J, Lo P, Challis J, Beshay V, Sullivan M, Mechinaud F, Hansford J, Arifin MZ, Dahlan RH, Sobana M, Saputra P, Tisell MT, Danielsson A, Caren H, Bhardwaj R, Chakravadhanula M, Hampton C, Ozals V, Georges J, Decker W, Kodibagkar V, Nguyen A, Legrain M, Gaub MP, Pencreach E, Chenard MP, Guenot D, Entz-Werle N, Kanemura Y, Ichimura K, Shofuda T, Nishikawa R, Yamasaki M, Shibui S, Arai H, Xia J, Brian A, Prins R, Pennell C, Moertel C, Olin M, Bie L, Zhang X, Liu H, Olsson M, Kling T, Nelander S, Biassoni V, Bongarzone I, Verderio P, Massimino M, Magni R, Pizzamiglio S, Ciniselli C, Taverna E, De Bortoli M, Luchini A, Liotta L, Barzano E, Spreafico F, Visse E, Sanden E, Darabi A, Siesjo P, Jackson S, Cohen K, Lin D, Burger P, Rodriguez F, Yao X, Liucheng R, Qin L, Na T, Meilin W, Zhengdong Z, Yongjun F, Pfeifer S, Nister M, de Stahl TD, Basmaci E, Orphanidou-Vlachou E, Brundler MA, Sun Y, Davies N, Wilson M, Pan X, Arvanitis T, Grundy R, Peet A, Eden C, Ju B, Phoenix T, Nimmervoll B, Tong Y, Ellison D, Lessman C, Taylor M, Gilbertson R, Folgiero V, del Bufalo F, Carai A, Cefalo MG, Citti A, Rutella S, Locatelli F, Mastronuzzi A, Maher O, Khatua S, Zaky W, Lourdusamy A, Meijer L, Layfield R, Grundy R, Jones DTW, Capper D, Sill M, Hovestadt V, Schweizer L, Lichter P, Zagzag D, Karajannis MA, Aldape KD, Korshunov A, von Deimling A, Pfister S, Chakrabarty A, Feltbower R, Sheridon E, Hassan H, Shires M, Picton S, Hatziagapiou K, Braoudaki M, Lambrou GI, Tsorteki F, Tzortzatou-Stathopoulou F, Bethanis K, Gemou-Engesaeth V, Chi SN, Bandopadhayay P, Janeway K, Pinches N, Malkin H, Kieran MW, Manley PE, Green A, Goumnerova L, Ramkissoon S, Harris MH, Ligon KL, Kahlert U, Suarez M, Maciaczyk J, Bar E, Eberhart C, Kenchappa R, Krishnan N, Forsyth P, McKenzie B, Pisklakova A, McFadden G, Kenchappa R, Forsyth P, Pan W, Rodriguez L, Glod J, Levy JM, Thompson J, Griesinger A, Amani V, Donson A, Birks D, Morgan M, Handler M, Foreman N, Thorburn A, Lulla RR, Laskowski J, Fangusaro J, DiPatri AJ, Alden T, Tomita T, Vanin EF, Goldman S, Soares MB, Remke M, Ramaswamy V, Wang X, Jorgensen F, Morrissy AS, Marra M, Packer R, Bouffet E, Pfister S, Jabado N, Taylor M, Cole B, Rudzinski E, Anderson M, Bloom K, Lee A, Leary S, Leprivier G, Remke M, Rotblat B, Agnihotri S, Kool M, Derry B, Pfister S, Taylor MD, Sorensen PH, Dobson T, Busschers E, Taylor H, Hatcher R, Fangusaro J, Lulla R, Goldman S, Rajaram V, Das C, Gopalakrishnan V. TUMOUR BIOLOGY. Neuro Oncol 2014; 16:i137-i145. [PMCID: PMC4046298 DOI: 10.1093/neuonc/nou082] [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] [Indexed: 07/22/2023] Open
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Zhu K, Briffa K, Smith A, Mountain J, Briggs AM, Lye S, Pennell C, Straker L, Walsh JP. Gender differences in the relationships between lean body mass, fat mass and peak bone mass in young adults. Osteoporos Int 2014; 25:1563-70. [PMID: 24647886 DOI: 10.1007/s00198-014-2665-x] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [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] [Received: 06/18/2013] [Accepted: 08/19/2013] [Indexed: 12/18/2022]
Abstract
UNLABELLED The relationships between fat mass and bone mass in young adults are unclear. In 1,183 young Australians, lean body mass had a strong positive relationship with total body bone mass in both genders. Fat mass was a positive predictor of total body bone mass in females, with weaker association in males. INTRODUCTION Body weight and lean body mass are established as major determinants of bone mass, but the relationships between fat mass (including visceral fat) and peak bone mass in young adults are unclear. The aim of this study was to evaluate the associations between bone mass in young adults and three body composition measurements: lean body mass, fat mass and trunk-to-limb fat mass ratio (a surrogate measure of visceral fat). METHODS Study participants were 574 women and 609 men aged 19-22 years from the Raine study. Body composition, total body bone mineral content (TBBMC), bone area and areal bone mineral density (TBBMD) were measured using DXA. RESULTS In multivariate linear regression models with height, lean body mass, fat mass and trunk-to-limb fat mass ratio as predictor variables, lean mass was uniquely associated with the largest proportion of variance of TBBMC and TBBMD in males (semi-partial R(2) 0.275 and 0.345, respectively) and TBBMC in females (semi-partial R(2) 0.183). Fat mass was a more important predictor of TBBMC and TBBMD in females (semi-partial R(2) 0.126 and 0.039, respectively) than males (semi-partial R(2) 0.006 and 0.018, respectively). Trunk-to-limb fat mass ratio had a weak, negative association with TBBMC and bone area in both genders (semi-partial R(2) 0.004 to 0.034). CONCLUSIONS Lean body mass has strong positive relationship with total body bone mass in both genders. Fat mass may play a positive role in peak bone mass attainment in women but the association was weaker in men; different fat compartments may have different effects.
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Affiliation(s)
- K Zhu
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia,
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Benyamin B, Pourcain BS, Davis OS, Davies G, Hansell NK, Brion MJA, Kirkpatrick RM, Cents RAM, Franić S, Miller MB, Haworth CMA, Meaburn E, Price TS, Evans DM, Timpson N, Kemp J, Ring S, McArdle W, Medland SE, Yang J, Harris SE, Liewald DC, Scheet P, Xiao X, Hudziak JJ, de Geus EJC, Jaddoe VWV, Starr JM, Verhulst FC, Pennell C, Tiemeier H, Iacono WG, Palmer LJ, Montgomery GW, Martin NG, Boomsma DI, Posthuma D, McGue M, Wright MJ, Smith GD, Deary IJ, Plomin R, Visscher PM. Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Mol Psychiatry 2014; 19:253-8. [PMID: 23358156 PMCID: PMC3935975 DOI: 10.1038/mp.2012.184] [Citation(s) in RCA: 167] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2012] [Revised: 10/28/2012] [Accepted: 11/12/2012] [Indexed: 01/11/2023]
Abstract
Intelligence in childhood, as measured by psychometric cognitive tests, is a strong predictor of many important life outcomes, including educational attainment, income, health and lifespan. Results from twin, family and adoption studies are consistent with general intelligence being highly heritable and genetically stable throughout the life course. No robustly associated genetic loci or variants for childhood intelligence have been reported. Here, we report the first genome-wide association study (GWAS) on childhood intelligence (age range 6-18 years) from 17,989 individuals in six discovery and three replication samples. Although no individual single-nucleotide polymorphisms (SNPs) were detected with genome-wide significance, we show that the aggregate effects of common SNPs explain 22-46% of phenotypic variation in childhood intelligence in the three largest cohorts (P=3.9 × 10(-15), 0.014 and 0.028). FNBP1L, previously reported to be the most significantly associated gene for adult intelligence, was also significantly associated with childhood intelligence (P=0.003). Polygenic prediction analyses resulted in a significant correlation between predictor and outcome in all replication cohorts. The proportion of childhood intelligence explained by the predictor reached 1.2% (P=6 × 10(-5)), 3.5% (P=10(-3)) and 0.5% (P=6 × 10(-5)) in three independent validation cohorts. Given the sample sizes, these genetic prediction results are consistent with expectations if the genetic architecture of childhood intelligence is like that of body mass index or height. Our study provides molecular support for the heritability and polygenic nature of childhood intelligence. Larger sample sizes will be required to detect individual variants with genome-wide significance.
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Affiliation(s)
- B Benyamin
- The University of Queensland, Queensland Brain Institute, St Lucia, Queensland, Australia
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - BSt Pourcain
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - OS Davis
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK
| | - G Davies
- Department of Psychology, University of Edinburgh, Edinburgh, Scotland, UK
| | - NK Hansell
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - M-JA Brion
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
- School of Women's and Infants' Health, The University of Western Australia, Perth, Western Australia, Australia
| | - RM Kirkpatrick
- Department of Psychology, University of Minnesota, St Paul, MN, USA
| | - RAM Cents
- The Generation R Study Group, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - S Franić
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - MB Miller
- Department of Psychology, University of Minnesota, St Paul, MN, USA
| | - CMA Haworth
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK
| | - E Meaburn
- Department of Psychology, Birkbeck University of London, London, UK
| | - TS Price
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK
| | - DM Evans
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - N Timpson
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - J Kemp
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - S Ring
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - W McArdle
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - SE Medland
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - J Yang
- The University of Queensland Diamantina Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - SE Harris
- Molecular Medicine Centre, Institute for Genetics and Molecular Medicine Centre, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - DC Liewald
- Department of Psychology, University of Edinburgh, Edinburgh, Scotland, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - P Scheet
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - X Xiao
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - JJ Hudziak
- Department of Psychiatry, College of Medicine, University of Vermont, Burlington, VT, USA
| | - EJC de Geus
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - VWV Jaddoe
- The Generation R Study Group, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - JM Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, Department of Psychology, University of Edinburgh, Edinburgh, Scotland, UK
| | - FC Verhulst
- Department of Child and Adolescent Psychiatry, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - C Pennell
- School of Women's and Infants' Health, The University of Western Australia, Perth, Western Australia, Australia
| | - H Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Psychiatry, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - WG Iacono
- Department of Psychology, University of Minnesota, St Paul, MN, USA
| | - LJ Palmer
- Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research, University of Toronto, Toronto, Ontario, Canada
- Samuel Lunenfeld Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - GW Montgomery
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - NG Martin
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - DI Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - D Posthuma
- Department of Child and Adolescent Psychiatry, Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), Neuroscience Campus Amsterdam (NCA), VU University Amsterdam and VU Medical Centre, Amsterdam, The Netherlands
- Department of Clinical Genetics, Section Medical Genomics, VU Medical Centre, Amsterdam, The Netherlands
| | - M McGue
- Department of Psychology, University of Minnesota, St Paul, MN, USA
- Department of Epidemiology, University of Southern Denmark, Odense, Denmark
| | - MJ Wright
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
| | - G Davey Smith
- Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
| | - IJ Deary
- Department of Psychology, University of Edinburgh, Edinburgh, Scotland, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - R Plomin
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK
| | - PM Visscher
- The University of Queensland, Queensland Brain Institute, St Lucia, Queensland, Australia
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia
- The University of Queensland Diamantina Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
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Whiteford HA, Harris MG, McKeon G, Baxter A, Pennell C, Barendregt JJ, Wang J. Estimating remission from untreated major depression: a systematic review and meta-analysis. Psychol Med 2013; 43:1569-1585. [PMID: 22883473 DOI: 10.1017/s0033291712001717] [Citation(s) in RCA: 203] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Few studies have examined spontaneous remission from major depression. This study investigated the proportion of prevalent cases of untreated major depression that will remit without treatment in a year, and whether remission rates vary by disorder severity. METHOD Wait-list controlled trials and observational cohort studies published up to 2010 with data describing remission from untreated depression at ≤ 2-year follow-up were identified. Remission was defined as rescinded diagnoses or below threshold scores on standardized symptom measures. Nineteen studies were included in a regression model predicting the probability of 12-month remission from untreated depression, using logit transformed remission proportion as the dependent variable. Covariates included age, gender, study type and diagnostic measure. RESULTS Wait-listed compared to primary-care samples, studies with longer follow-up duration and older adult compared to adult samples were associated with lower probability of remission. Child and adolescent samples were associated with higher probability of remission. Based on adult samples recruited from primary-care settings, the model estimated that 23% of prevalent cases of untreated depression will remit within 3 months, 32% within 6 months and 53% within 12 months. CONCLUSIONS It is undesirable to expect 100% treatment coverage for depression, given many will remit before access to services is feasible. Data were drawn from consenting wait-list and primary-care samples, which potentially over-represented mild-to-moderate cases of depression. Considering reported rates of spontaneous remission, a short untreated period seems defensible for this subpopulation, where judged appropriate by the clinician. Conclusions may not apply to individuals with more severe depression.
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Affiliation(s)
- H A Whiteford
- Policy and Evaluation Group, Queensland Centre for Mental Health Research, QLD, Australia.
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Hammond G, Langridge A, Leonard H, Hagan R, Jacoby P, DeKlerk N, Pennell C, Stanley F. Changes in risk factors for preterm birth in Western Australia 1984-2006. BJOG 2013; 120:1051-60. [PMID: 23639083 DOI: 10.1111/1471-0528.12188] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/12/2012] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To characterise changing risk factors of preterm birth in Western Australia between 1984 and 2006. DESIGN Population-based study. SETTING Western Australia. POPULATION All non-Aboriginal women giving birth to live singleton infants between 1984 and 2006. METHODS Multinomial, multivariable regression models were used to assess antecedent profiles by preterm status and labour onset types (spontaneous, medically indicated, prelabour rupture of membranes [PROM]). Population attributable fraction (PAF) estimates characterized the contribution of individual antecedents as well as the overall contribution of two antecedent groups: pre-existing medical conditions (including previous obstetric history) and pregnancy complications. MAIN OUTCOME MEASURE Antecedent relationships with preterm birth, stratified by labour onset type. RESULTS Marked increases in maternal age and primiparous births were observed. A four-fold increase in the rates of pre-existing medical complications over time was observed. Rates of pregnancy complications remained stable. Multinomial regression showed differences in antecedent profiles across labour onset types. PAF estimates indicated that 50% of medically indicated preterm deliveries could be eliminated after removing six antecedents from the population; estimates for PROM and spontaneous preterm reduction were between 10 and 20%. Variables pertaining to previous and current obstetric complications (previous preterm birth, previous caesarean section, pre-eclampsia and antepartum haemorrhage) were the most influential predictors of preterm birth and adverse labour onset (PROM and medically indicated). CONCLUSIONS Preterm antecedent profiles have changed markedly over the 23 years studied. Some changes may be attributable to true change, others to advances in surveillance and detection. Still others may signify change in clinical practice.
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Affiliation(s)
- G Hammond
- Telethon Institute for Child Health Research, Centre for Child Health Research, The University of Western Australia, Perth, WA, Australia.
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Pennell C, Ang Q, Merialdi M, Katz M, Olsen J, Murray J, Olson D, Jacobsson B, Williams S, Menon R. O541 TWO NOVEL GENETIC VARIANTS ASSOCIATE WITH EARLY SPONTANEOUS PRETERM BIRTH IN CAUCASIAN POPULATIONS. Int J Gynaecol Obstet 2012. [DOI: 10.1016/s0020-7292(12)60971-0] [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] [Indexed: 11/25/2022]
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Johnson M, Løset M, Brennecke S, Peralta J, Dyer T, East C, Pennell C, Huang RC, Mori T, Beilin L, Blangero J, Moses E. OS049. Exome sequencing identifies likely functional variantsinfluencing preeclampsia and CVD risk. Pregnancy Hypertens 2012; 2:203-4. [PMID: 26105263 DOI: 10.1016/j.preghy.2012.04.050] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Next-generation sequencing (NGS) in family-based study designs will be pivotal in unlocking the missing heritability of common complex diseases. Whilst our prior linkage- and association-based positional cloning studies in family- and population-based Australian cohorts, respectively, have discovered novel preeclampsia candidate genes (INHBB,ACVR2A,LCT,LRP1B,RND3,GCA,ERAP2,TNFSF13B), the full complement of causal genetic variation remains largely unknown. We have now sequenced the exomes of two Australian preeclampsia families in another step forward to unlocking preeclampsia's complex allelic architecture. OBJECTIVES Identify family-specific exon-centric loci segregating in preeclamptic women only. METHODS The exomes of 18 women (7 preeclamptics,11 controls) from two Australian families contributing to our chromosome 5q (Family 1) and 13q (Family 2) susceptibility loci, respectively, were sequenced using Illumina's TruSeq Exome Enrichment assay and NGS technology. Sequence alignments, quality control assessment and variant calling were conducted on our 8000 parallel processor compute server, MEDUSA. As a first pass, we prioritized exome sequence data to non-synonymous variants within the 1-LOD drop intervals of our 5q and 13q loci. Prioritized exonic variants were also genotyped in the Western Australian Pregnancy (Raine) Cohort to assess their significance against a plethora of cardiovascular disease (CVD) related traits. RESULTS In Family 1 we identified two missense SNPs and in Family 2 we identified one missense SNP to segregate in the preeclamptic women but not in the unaffected women. The first SNP in Family 1 (rs62375061) resides within the LYSMD3 gene, is predicted to "possibly" damage the focal protein and the only public record of this SNP is within the Watson genome. The second SNP in Family 1 (rs111033530) resides within the GPR98 gene, is predicted to "probably" damage the focal protein and is rare (1.7% population prevalence). The SNP in Family 2 (rs1805388) resides within the LIG4 gene, is predicted to be highly deleterious (F-SNP FSS=0.849) and is common (⩾17% population prevalence). In the Raine cohort the LIG4 SNP was also significantly associated with weight (p=0.0085), total cholesterol (p=0.0007), HDL cholesterol (p=0.0067) and LDL cholesterol (p=0.0324). CONCLUSION Our preliminary exome data documents the substantial potential to rapidly identify likely functional variants that influence preeclampsia risk. The GPR98 finding is of major interest to us as a recent genome-wide association study reported a significant association with diastolic blood pressure for a SNP at this same gene locus. Furthermore, our findings implicate LIG4 as a novel candidate susceptibility gene for CVD and add weight to the hypothesis of shared genetic risk factors for preeclampsia and CVD.
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Affiliation(s)
- M Johnson
- Texas Biomedical Research Institute, San Antonio, United States
| | - M Løset
- Norwegian University of Science and Technology, Trondheim, Norway
| | - S Brennecke
- University of Melbourne, Melbourne, Australia
| | - J Peralta
- Texas Biomedical Research Institute, San Antonio, United States
| | - T Dyer
- Texas Biomedical Research Institute, San Antonio, United States
| | - C East
- University of Melbourne, Melbourne, Australia
| | - C Pennell
- University of Western Australia Perth, Australia
| | - R-C Huang
- University of Western Australia Perth, Australia
| | - T Mori
- University of Western Australia Perth, Australia
| | - L Beilin
- University of Western Australia Perth, Australia
| | - J Blangero
- Texas Biomedical Research Institute, San Antonio, United States
| | - E Moses
- University of Western Australia Perth, Australia
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Karasu Y, Dilbaz B, Demir B, Dilbaz S, Secilmis Kerimoglu O, Ercan CM, Keskin U, Korkmaz C, Duru NK, Ergun A, de Zuniga I, Horton M, Oubina A, Scotti L, Abramovich D, Pascuali N, Tesone M, Parborell F, Bouzas N, Yang XH, Chen SL, Chen X, Ye DS, Zheng HY, Nyboe Andersen A, Lauritsen MP, Thuesen LL, Khodadadi M, Shivabasavaiah S, Mozafari R, Ansari Z, Hamdine O, Broekmans F, Eijkemans MJC, Cohlen BJ, Verhoeff A, van Dop PA, Bernardus RE, Lambalk CB, Oosterhuis GJE, Holleboom C, van den Dool-Maasland GC, Verburg HJ, van der Heijden PFM, Blankhart A, Fauser BCJM, Laven JSE, Macklon NS, Agudo D, Lopez C, Alonso M, Huguet E, Bronet F, Garcia-Velasco JA, Requena A, Gonzalez Comadran M, Checa MA, Duran M, Fabregues F, Carreras R, Ersahin A, Kahraman S, Kavrut M, Gorgen B, Acet M, Dokuzeylul N, Aybar F, Lim SY, Park JC, Bae JG, Kim JI, Rhee JH, Mahran A, Abdelmeged A, El-Adawy A, Eissa M, Darne J, Shaw RW, Amer SA, Dai A, Yan G, He Q, Hu Y, Sun H, Ferrero H, Gomez R, Garcia-Pascual CM, Simon C, Gaytan F, Pellicer A, Garcia Pascual CM, Zimmermann RC, Ferrero H, Simon C, Pellicer A, Gomez R, Madani T, Mohammadi Yeganeh L, Khodabakhshi SH, Akhoond MR, Hasani F, Monzo C, Haouzi D, Assou S, Dechaud H, Hamamah S, Amer S, Mahran M, Eissa M, Darne J, Shaw R, Lan V, Nhu G, Tuong H, Mahmoud Youssef MA, Aboulfoutouh I, Al-inany H, Van Der Veen F, Van Wely M, Zhang Q, Fang T, Wu S, Zhang L, Wang B, Li X, Yan G, Sun H, Hu Y, He Q, Ding L, Day A, Wang B, Yan G, Hu Y, Sun H, Zhang L, Fang T, Zhang Q, Wu S, Yan G, Sun H, Hu Y, Fulford B, Boivin J, Alanbay I, Ercan CM, Sakinci M, Coksuer H, Ozturk M, Tapan S, Chung CK, Chung Y, Seo S, Aksoy S, Yakin K, Caliskan S, Salar Z, Ata B, Urman B, Devroey P, Pellicer A, Nyboe Andersen A, Arce JC, Harrison K, Irving J, Osborn J, Harrison M, Fusi F, Arnoldi M, Cappato M, Galbignani E, Galimberti A, Zanga L, Frigerio L, Taghavi SA, Ashrafi M, Karimian L, Mehdizadeh M, Joghataie M, Aflatoonian R, Xu B, Cui YG, Gao LL, Diao FY, Li M, Liu XQ, Liu JY, Jiang F, Li M, Cui YG, Diao FY, Liu JY, Jee BC, Yi G, Kim JY, Suh CS, Kim SH, Liu S, Cui YG, Liu JY, Cai LB, Liu JJ, Ma X, Geenen E, Bots RSGM, Smeenk JMJ, Chang E, Lee W, Seok H, Kim Y, Han J, Yoon T, Lazaros L, Xita N, Zikopoulos K, Makrydimas G, Kaponis A, Sofikitis N, Stefos T, Hatzi E, Georgiou I, Atilgan R, Kumbak B, Sahin L, Ozkan ZS, Simsek M, Sapmaz E, Karacan M, Alwaeely FA, Cebi Z, Berberoglugil M, Ulug M, Camlibel T, Kavrut M, Kahraman S, Ersahin A, Acet M, Yelke H, Kamalak Z, Carlioglu A, Akdeniz D, Uysal S, Inegol Gumus I, Ozturk Turhan N, Regan S, Yovich J, Stanger J, Almahbobi G, Kara M, Aydin T, Turktekin N, Youssef M, Aboulfoutouh I, Al-Inany H, van der Veen F, van Wely M, Hart R, Doherty D, Frederiksen H, Keelan J, Pennell C, Newnham J, Skakkebaek N, Main K, Salem HT, Ismail AA, Viola M, Siebert TI, Steyn DW, Kruger TF, Robin G, Dewailly D, Thomas P, Leroy M, Lefebvre C, soudan B, Pigny P, Decanter C, ElPrince M, Wang F, Zhu Y, Huang H, Valdez Morales F, Vital Reyes V, Mendoza Rodriguez A, Gamboa Dominguez A, Cerbon M, Aizpurua J, Ramos B, Luehr B, Moragues I, Rogel S, Cil AP, Guler ZB, Kisa U, Albu A, Radian S, Grigorescu F, Albu D, Fica S, Al Boghdady L, Ghanem ME, Hassan M, Helal AS, Ozdogan S, Ozdegirmenci O, Dilbaz S, Demir B, Cinar O, Dilbaz B, Goktolga U, Seeber B, Tsybulyak I, Bottcher B, Grubinger T, Czech T, Wildt L, Wojcik J, Howles CM, Destenaves B, Arriagada P, Tavmergen E, Sahin G, Akdogan A, Levi R, Goker ENT, Thuesen LL, Loft A, Smitz J, Nyboe Andersen A, Ricciardi L, Di Florio C, Busacca M, Gagliano D, Immediata V, Selvaggi L, Romualdi D, Guido M, Bouhanna P, Salama S, Kamoud Z, Torre A, Paillusson B, Fuchs F, Bailly M, Wainer R, Tagliaferri V, Busacca M, Gagliano D, Di Florio C, Tartaglia C, Cirella E, Romualdi D, Guido M, Aflatoonian A, Eftekhar M, Mohammadian F, Yousefnejad F, De Cicco S, Gagliano D, Busacca M, Di Florio C, Immediata V, Campagna G, Romualdi D, Guido M, Depalo R, Lippolis C, Vacca M, Nardelli C, Selvaggi L, Cavallini A, Panic T, Mitulovic G, Franz M, Sator K, Tschugguel W, Pietrowski D, Hildebrandt T, Cupisti S, Giltay EJ, Gooren LJ, Oppelt PG, Hackl J, Reissmann C, Schulze C, Heusinger K, Attig M, Hoffmann I, Beckmann MW, Dittrich R, Mueller A, Sharma S, Singh S, Chakravarty A, Sarkar A, Rajani S, Chakravarty BN, Dilbaz S, Ozturk E, Ozdegirmenci O, Demir B, Isikoglu S, Kul S, Dilbaz B, Cinar O, Goktolga U, Eftekhar M, Aflatoonian A, Mohammadian F, Broekmans F, Hillensjo T, Witjes H, Elbers J, Mannaerts B, Gordon K, Krasnopolskaya K, Galaktionova A, Gorskaya O, Kabanova D, Venturella R, Morelli M, Mocciaro R, Capasso S, Cappiello F, Zullo F, Monterde M, Gomez R, Marzal A, Vega O, Rubio-Rubio JM, Diaz-Garcia C, Pellicer A, Gordon K, Kolibianakis E, Griesinger G, Yding Andersen C, Witjes H, Mannaerts B, Ocal P, Guralp O, Aydogan B, Irez T, Cetin M, Senol H, Erol N, Yding Andersen C, Kolibianakis E, Devroey P, Witjes H, Mannaerts B, Gordon K, Griesinger G, Rombauts L, Van Kuijk J, Mannaerts B, Montagut J, Nogueira D, Porcu G, Chomier M, Giorgetti C, Nicollet B, Degoy J, Lehert P, Alviggi C, De Rosa P, Vallone R, Picarelli S, Coppola M, Conforti A, Strina I, Di Carlo C, De Placido G, Hackl J, Cupisti S, Haeberle L, Schulze C, Hildebrandt T, Oppelt PG, Reissmann C, Heusinger K, Attig M, Hoffmann I, Dittrich R, Beckmann MW, Mueller A, Akdogan A, Demirtas O, Sahin G, Tavmergen E, Goker ENT, Fatemi H, Shapiro BS, Griesinger G, Witjes H, Gordon K, Mannaerts BM, Chimote MN, Mehta BN, Chimote NN, Nath NM, Chimote NM, Karia S, Bonifacio M, Bowman M, McArthur S, Jung J, Cho S, Choi Y, Lee B, Seo S, Lee KH, Kim CH, Kwon SK, Kim SH, Kang BM, Jung KS, Basios G, Trakakis E, Hatziagelaki E, Vaggopoulos V, Tsiavou A, Panagopoulos P, Chrelias C, Kassanos D, Sarhan A, Elsamanoudy A, Harira M, Dogan S, Bozdag G, Esinler I, Polat M, Yarali H. REPRODUCTIVE ENDOCRINOLOGY. Hum Reprod 2012. [DOI: 10.1093/humrep/27.s2.88] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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O'Leary CM, de Klerk N, Keogh J, Pennell C, de Groot J, York L, Mulroy S, Stanley FJ. Trends in mode of delivery during 1984-2003: can they be explained by pregnancy and delivery complications? BJOG 2007; 114:855-64. [PMID: 17501962 DOI: 10.1111/j.1471-0528.2007.01307.x] [Citation(s) in RCA: 86] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES To describe trends in mode of delivery, to identify significant factors which affected mode of delivery, and to describe how these factors and their impact have changed over time. DESIGN Total population birth cohort. SETTING Western Australia 1984-2003. PARTICIPANTS The analysis was restricted to all singleton infants delivered at 37-42 weeks of gestation with a cephalic presentation (n = 432,327). METHODS Logistic regression analyses were undertaken to estimate significant independent risk factors separately for elective and emergency caesarean sections compared with vaginal delivery (spontaneous and instrumental), adjusting for potential confounding variables. MAIN OUTCOME MEASURES Trends in mode of delivery, demographic factors, and pregnancy and delivery complications. Estimated likelihood of elective caesarean section compared with vaginal delivery and emergency caesarean section compared with vaginal delivery. RESULTS Between 1984-88 and 1999-2003, the likelihood of women having an elective caesarean section increased by a factor of 2.35 times (95% CI 2.28-2.42) and the likelihood of an emergency caesarean section increased 1.89 times (95% CI 1.83-1.96). These caesarean section rate increases remained even after adjustment for their strong associations with many sociodemographic factors, obstetric risk factors, and obstetric complications. Rates of caesarean section were higher in older mothers, especially those older than 40 years of age (elective caesarean section, OR 5.42 [95% CI 4.88-6.01]; emergency caesarean section, OR 2.67 [95% CI 2.39-2.97]), and in nulliparous women (elective caesarean section, OR 1.54 [95% CI 1.47-1.61]; emergency caesarean section, OR 3.61 [95% CI 3.47-3.76]). CONCLUSIONS Our data show significant changes in mode of delivery in Western Australia from 1984-2003, with an increasing trend in both elective and emergency caesarean section rates that do not appear to be explained by increased risk or indication.
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Affiliation(s)
- C M O'Leary
- Telethon Institute for Child Health Research, Centre for Child Health Research, The University of Western Australia, West Perth, Western Australia, Australia.
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Abstract
The effect of different Neotyphodium endophyte strains in novel and natural tall fescue (Festuca arundinacea) associations on pasture mealy bug (Balanococcus poae) was investigated under grazing. All of the endophyte-infected tall fescue treatments had significantly lower numbers of mealy bugs compared to an endophyte-free control. Resistance to pasture mealy bug was maintained in novel associations free of the mammalian toxin ergovaline. Point analysis revealed that endophyte-free plots contained less tall fescue herbage than endophyte infected treatments. This paper raises the possibility that the pasture mealy bug was responsible.
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Vallera DA, Panoskaltsis-Mortari A, Jost C, Ramakrishnan S, Eide CR, Kreitman RJ, Nicholls PJ, Pennell C, Blazar BR. Anti-graft-versus-host disease effect of DT390-anti-CD3sFv, a single-chain Fv fusion immunotoxin specifically targeting the CD3 epsilon moiety of the T-cell receptor. Blood 1996; 88:2342-53. [PMID: 8822957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
In a recent study, we showed that an immunotoxin (IT) made with a conventional monoclonal antibody targeting the CD3 epsilon moiety of the T-cell receptor (TCR) had a potent, but partial, graft-versus-host disease (GVHD) effect (Vallera et al, Blood 86:4367, 1995). Therefore, in this current study, we determined whether a fusion immunotoxin made with anti-CD3 single-chain Fv (sFv), the smallest unit of antibody recognizing antigen, would have anti-GVHD activity. A fusion protein was synthesized from a construct made by splicing sFv cDNA from the hybridoma 145-2C11 to a truncated form of the diphtheria toxin (DT390) gene. DT390 encodes a molecule that retains full enzymatic activity, but excludes the native DT binding domain. The DT390-anti-CD3sFv hybrid gene was cloned into a vector under the control of an inducible promoter. The protein was expressed in Escherichia coli and then purified from inclusion bodies. The DT390 moiety of the protein had full enzymatic activity compared with native DT and DT390-anti-CD3sFv, with an IC50 of 1 to 2 nmol/L against phytohemagglutinin-stimulated and alloantigen-stimulated T cells. Specificity was shown (1) by blocking the IT with parental anti-CD3 antibody, but not with a control antibody; (2) by failure of DT390-anti-CD3sFv to inhibit lipopolysaccharide-stimulated murine B cells; (3) by failure of an Ig control fusion protein, DT390-Fc, to inhibit T-cell responses; and (4) with in vivo immunohistochemisty studies. GVHD was studied in a model in which C57BL/6 (H-2b)-purified lymph node T cells were administered to major histocompatibility complex (MHC) antigen disparate unirradiated C.B.-17 scid (H-2d) mice to assess GVHD effects in the absence of irradiation toxicity. Flow cytometry studies showed that donor T cells were expanded 57-fold and histopathologic analysis showed the hallmarks of a lethal model of GVHD. Control mice receiving phosphate-buffered saline showed 17% survival on day 80 after bone marrow transplantation, and mice receiving 2 micrograms DT390-Fc fusion toxin control administered in 2 daily doses for 6 days (days 0 through 5) had a 43% survival rate. In contrast, 86% of mice receiving the same dose of DT390-anti-CD3sFv were survivors on day 80, a significant improvement, although survivors still showed histopathologic signs of GVHD. These findings suggest that new anti-GVHD agents can be genetically engineered and warrant further investigation of fusion proteins for GVHD treatment.
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Affiliation(s)
- D A Vallera
- Department of Therapeutic Radiology, University of Minnesota Hospital and Clinics, Minneapolis 55455, USA
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Abstract
About half of the phosphatidylcholine (PtC)-binding peritoneal B cells of B10.H-2aH-4bp/Wts mice express the VH12 gene. In these cells the D-region gene segments are restricted in length and sequence and are always rearranged to JH1, suggesting that PtC-specific B cells are clonally selected. To assess the extent to which this VH gene is used by peritoneal B cells to encode antibodies of other specificities, we have analyzed the length and sequence of D-region gene segments of VH12-D-JH1 rearrangements in peritoneal B cells independent of antigen specificity by PCR. We find that all 34 randomly chosen VH12-D-JH1 rearrangements analyzed are productive and have D regions that are restricted identically to those of PtC-specific B cells. These data suggest that essentially the entire repertoire of VH12-D-JH1 rearrangements are used by B cells that bind PtC, further illustrating the degree to which this repertoire is shaped by antigen selection.
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Affiliation(s)
- C Pennell
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill 27599
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Pennell C. On some points of the Pathology and Treatment of Yellow Fever. J R Soc Med 1853; 36:245-53. [PMID: 20896007 DOI: 10.1177/095952875303600112] [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] [Indexed: 11/16/2022] Open
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