1
|
Robinson AC, Davidson YS, Roncaroli F, Minshull J, Tinkler P, Cairns M, Horan MA, Payton A, Mann DMA. Telephone Interview for Cognitive Status Scores Associate with Cognitive Impairment and Alzheimer's Disease Pathology at Death. J Alzheimers Dis 2021; 84:609-619. [PMID: 34602485 DOI: 10.3233/jad-215102] [Citation(s) in RCA: 0] [Impact Index Per Article: 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] [Indexed: 11/15/2022]
Abstract
BACKGROUND Early diagnosis of Alzheimer's disease (AD) provides an opportunity for early intervention. Cognitive testing has proven to be a reliable way to identify individuals who may be at risk of AD. The Telephone Assessment for Cognitive Screening (TICS) is proficient in screening for cognitive impairment. However, its ability to identify those at risk of developing AD pathology is unknown. OBJECTIVE We aim to investigate associations between TICS scores, collected over a period of 13 years, and the cognitive status of participants at death. We also examine relationships between TICS scores and neuropathological indices of AD (CERAD score, Thal phase, and Braak stage). METHODS Between 2004 and 2017, participants from The University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age underwent cognitive assessment using TICS. Scores from four time points were available for analysis. Cognitive impairment and AD pathology at death was evaluated in 101 participants. RESULTS TICS scores at time points 2, 3, and 4 were significantly lower in those cognitively impaired at death compared to those considered cognitively normal. There were significant negative correlations between TICS scores and CERAD score and Braak stage at time points 2 and 4. No correlations between Thal phase and TICS were found. CONCLUSION Findings indicate that TICS could be used not only to screen for cognitive impairment, but also to identify individuals at risk of developing AD pathology, many years before any overt symptoms occur. Once identified, 'at risk' individuals could be targeted for early interventions which could attenuate the progression of the disease.
Collapse
Affiliation(s)
- Andrew C Robinson
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK.,Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - Yvonne S Davidson
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Federico Roncaroli
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK.,Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - James Minshull
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Phillip Tinkler
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Margaret Cairns
- Department of Healthcare for Older People, Royal Devon and Exeter NHS Healthcare Trust, Exeter, UK
| | - Michael A Horan
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Antony Payton
- Division of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK
| | - David M A Mann
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| |
Collapse
|
2
|
Robinson AC, Roncaroli F, Chew-Graham S, Davidson YS, Minshull J, Horan MA, Payton A, Pendleton N, Mann DMA. The Contribution of Vascular Pathology Toward Cognitive Impairment in Older Individuals with Intermediate Braak Stage Tau Pathology. J Alzheimers Dis 2021; 77:1005-1015. [PMID: 32804131 DOI: 10.3233/jad-200339] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND The pathological features of Alzheimer's disease (AD) are well described but little is known as to how both neurodegeneration and vascular changes might interact in causing cognitive impairment. OBJECTIVE The present study aims to investigate relationships between vascular and AD pathology in cognitively healthy and cognitively impaired individuals with a particular emphasis on those at intermediate Braak tau stages. METHODS We investigated the interplay between Braak tau stage and measures of vascular pathology as described by the vascular cognitive impairment neuropathology guidelines (VCING) in 185 brains from the Brains for Dementia Research programme and The University of Manchester Longitudinal Study of Cognition in Healthy Old Age. VCING asserts that at least one large (>10 mm) infarct, moderate/severe occipital leptomeningeal cerebral amyloid angiopathy, and moderate/severe arteriosclerosis in occipital white matter accurately predicts the contribution of cerebrovascular pathology to cognitive impairment. RESULTS We found that the extent of arteriosclerosis in the occipital white matter did not differ between cognitive groups at intermediate (III-IV) Braak stages whereas moderate/severe leptomeningeal occipital cerebral amyloid angiopathy was greater in cognitively impaired than normal individuals at Braak stage III-IV. This finding remained significant after controlling for effects of age, sex, CERAD score, Thal phase, presence/severity of primary age-related tauopathy, presence/severity of limbic-predominant age-related TDP43 encephalopathy and small vessel disease in basal ganglia. CONCLUSION Interventions targeting cerebral amyloid angiopathy may contribute to delay the onset of cognitive impairment in individuals with intermediate Alzheimer's type pathology.
Collapse
Affiliation(s)
- Andrew C Robinson
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Federico Roncaroli
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK.,Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - Stephen Chew-Graham
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Yvonne S Davidson
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - James Minshull
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Michael A Horan
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Antony Payton
- Division of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Neil Pendleton
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - David M A Mann
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| |
Collapse
|
3
|
Robinson AC, Davidson YS, Roncaroli F, Minshull J, Tinkler P, Horan MA, Payton A, Pendleton N, Mann DMA. Early changes in visuospatial episodic memory can help distinguish primary age-related tauopathy from Alzheimer's disease. Neuropathol Appl Neurobiol 2021; 47:1114-1116. [PMID: 33969518 DOI: 10.1111/nan.12726] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/19/2021] [Accepted: 05/01/2021] [Indexed: 11/29/2022]
Affiliation(s)
- Andrew C Robinson
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK.,Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - Yvonne S Davidson
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Federico Roncaroli
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK.,Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - James Minshull
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Phillip Tinkler
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Michael A Horan
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Antony Payton
- Division of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Neil Pendleton
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - David M A Mann
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| |
Collapse
|
4
|
Robinson AC, Roncaroli F, Davidson YS, Minshull J, Heal C, Montaldi D, Payton A, Horan MA, Pendleton N, Mann DM. Mid to late-life scores of depression in the cognitively healthy are associated with cognitive status and Alzheimer's disease pathology at death. Int J Geriatr Psychiatry 2021; 36:713-721. [PMID: 33176024 PMCID: PMC8048934 DOI: 10.1002/gps.5470] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 07/07/2020] [Accepted: 11/07/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Early diagnosis of Alzheimer's disease (AD) is essential for early interventions. Symptoms of depression could represent a prodromal stage of AD. Very early mood alterations may help to stratify those at highest risk of late-life AD. We aim to investigate associations between baseline/longitudinal scores for depression, presence of cognitive impairment and/or AD pathology at death. METHODS/DESIGN Between 1991 and 2015, participants from The University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age underwent 10 waves of assessment using the Geriatric Depression Scale (GDS). AD pathology at death was evaluated in 106 eligible cases. Analyses aimed to examine associations between GDS scores, cognitive status and AD pathology (as measured by Braak stage, Thal phase and CERAD). RESULTS Baseline GDS scores were significantly higher for those cognitively impaired at death than those cognitively normal. Significantly higher baseline GDS scores were found for those with greater Consortium to Establish a Registry for Alzheimer's Disease (CERAD) scores than those with lower CERAD scores. Similarly, significantly higher baseline GDS scores were found for those with a greater Braak stage than those with lower tau burden. These correlations remained after controlling for age at death, education and APOE ε4, but were less robust. Mean longitudinal GDS scores associated with cognition but not pathology. CONCLUSIONS GDS scores collected approximately 20 years before death were associated with cognitive status and AD pathology at death. We postulate that early AD-related pathological change produces raised GDS scores due to an overlapping neural basis with depression, and that this may be considered as an early diagnostic marker for AD.
Collapse
Affiliation(s)
- Andrew C. Robinson
- Division of Neuroscience & Experimental PsychologyFaculty of Biology, Medicine and HealthSchool of Biological SciencesThe University of ManchesterSalford Royal HospitalSalfordUK
- Geoffrey Jefferson Brain Research CentreManchester Academic Health Science Centre (MAHSC)ManchesterUK
| | - Federico Roncaroli
- Division of Neuroscience & Experimental PsychologyFaculty of Biology, Medicine and HealthSchool of Biological SciencesThe University of ManchesterSalford Royal HospitalSalfordUK
- Geoffrey Jefferson Brain Research CentreManchester Academic Health Science Centre (MAHSC)ManchesterUK
| | - Yvonne S. Davidson
- Division of Neuroscience & Experimental PsychologyFaculty of Biology, Medicine and HealthSchool of Biological SciencesThe University of ManchesterSalford Royal HospitalSalfordUK
| | - James Minshull
- Division of Neuroscience & Experimental PsychologyFaculty of Biology, Medicine and HealthSchool of Biological SciencesThe University of ManchesterSalford Royal HospitalSalfordUK
| | - Calvin Heal
- Centre for BiostatisticsFaculty of Biology, Medicine and HealthSchool of Health SciencesThe University of ManchesterManchesterUK
| | - Daniela Montaldi
- Division of Neuroscience & Experimental PsychologyFaculty of Biology, Medicine and HealthSchool of Biological SciencesThe University of ManchesterManchesterUK
| | - Antony Payton
- Division of Informatics, Imaging & Data SciencesFaculty of Biology, Medicine and HealthSchool of Health SciencesThe University of ManchesterManchesterUK
| | - Michael A. Horan
- Division of Neuroscience & Experimental PsychologyFaculty of Biology, Medicine and HealthSchool of Biological SciencesThe University of ManchesterSalford Royal HospitalSalfordUK
| | - Neil Pendleton
- Division of Neuroscience & Experimental PsychologyFaculty of Biology, Medicine and HealthSchool of Biological SciencesThe University of ManchesterSalford Royal HospitalSalfordUK
| | - David M.A. Mann
- Division of Neuroscience & Experimental PsychologyFaculty of Biology, Medicine and HealthSchool of Biological SciencesThe University of ManchesterSalford Royal HospitalSalfordUK
| |
Collapse
|
5
|
Robinson AC, Chew-Graham S, Davidson YS, Horan MA, Roncaroli F, Minshull J, du Plessis D, Pal P, Payton A, Pendleton N, Mann DMA. A Comparative Study of Pathological Outcomes in The University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age and Brains for Dementia Research Cohorts. J Alzheimers Dis 2020; 73:619-632. [PMID: 31796669 PMCID: PMC7029329 DOI: 10.3233/jad-190580] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In the present study, we have characterized and compared individuals whose brains were donated as part of The University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age (UoM) with those donated through the Manchester arm of the UK Brains for Dementia Research (BDR) program. The aim of this study was to investigate how differences in study recruitment may affect final pathological composition of cohort studies. The UoM cohort was established as a longitudinal study of aging and cognition whereas the BDR program was established, prima facie, to collect brains from both demented and non-demented individuals for the purpose of building a tissue research resource. Consequently, the differences in recruitment patterns generated differences in demographic, clinical, and neuropathological characteristics. There was a higher proportion of recruits with dementia [mostly Alzheimer's disease (AD)] within the BDR cohort than in the UoM cohort. In pathological terms, the BDR cohort was more 'polarized', being more composed of demented cases with high Braak pathology scores and non-demented cases with low Braak scores, and fewer non-AD pathology cases, than the UoM cohort. In both cohorts, cerebral amyloid angiopathy tended to be greater in demented than non-demented individuals. Such observations partly reflect the recruitment of demented and non-demented individuals into the BDR cohort, and also that insufficient study time may have elapsed for disease onset and development in non-demented individuals to take place. Conversely, in the UoM cohort, where there had been nearly 30 years of study time, a broader spread of AD-type pathological changes had 'naturally' evolved in the brains of both demented and non-demented participants.
Collapse
Affiliation(s)
- Andrew C Robinson
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience & Experimental Psychology, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Stephen Chew-Graham
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience & Experimental Psychology, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Yvonne S Davidson
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience & Experimental Psychology, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Michael A Horan
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience & Experimental Psychology, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Federico Roncaroli
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience & Experimental Psychology, The University of Manchester, Salford Royal Hospital, Salford, UK.,Neuropathology Unit, Salford Royal Hospital, Greater Manchester, England, UK
| | - James Minshull
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience & Experimental Psychology, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Daniel du Plessis
- Neuropathology Unit, Salford Royal Hospital, Greater Manchester, England, UK
| | - Piyali Pal
- Department of Neuropathology, Walton Centre for Neurology and Neurosurgery, Liverpool, UK
| | - Antony Payton
- Faculty of Biology, Medicine and Health, School of Health Sciences, Division of Informatics, Imaging & Data Sciences, The University of Manchester, Manchester, UK
| | - Neil Pendleton
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience & Experimental Psychology, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - David M A Mann
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience & Experimental Psychology, The University of Manchester, Salford Royal Hospital, Salford, UK
| |
Collapse
|
6
|
Robinson AC, Davidson YS, Roncaroli F, Minshull J, Tinkler P, Horan MA, Payton A, Pendleton N, Mann DM. Influence of APOE Genotype on Mortality and Cognitive Impairment. J Alzheimers Dis Rep 2020; 4:281-286. [PMID: 32904716 PMCID: PMC7458549 DOI: 10.3233/adr-200203] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2020] [Indexed: 11/15/2022] Open
Abstract
While many studies have examined the associations between APOE genotype and mortality, findings have often been conflicting and it remains unclear whether APOE genotype affects longevity. Using selected individuals from the Manchester arm of the Brains for Dementia Research programme and University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age, we investigated relationships between APOE genotype and age at death in both cognitively normal and cognitively impaired individuals. Results indicated that carrying the APOE ɛ4 allele led to a reduced chance in an individual reaching 80+ years and remaining cognitively healthy. Conversely, APOE ɛ2 carriers tended to live longer and remain cognitively normal. These findings add to the evidence that APOE genotype influences longevity, especially in cognitively impaired individuals who carry the APOE ɛ4 allele.
Collapse
Affiliation(s)
- Andrew C. Robinson
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Yvonne S. Davidson
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Federico Roncaroli
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
- Manchester Academic Health Science Centre (MAHSC), Manchester, UK
| | - James Minshull
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Phillip Tinkler
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Michael A. Horan
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - Antony Payton
- Division of Informatics, Imaging & Data Sciences, Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Neil Pendleton
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| | - David M.A. Mann
- Division of Neuroscience & Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, The University of Manchester, Salford Royal Hospital, Salford, UK
| |
Collapse
|
7
|
Robinson AC, Davidson YS, Horan MA, Cairns M, Pendleton N, Mann DM. No association between head injury with loss of consciousness and Alzheimer disease pathology-Findings from the University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age. Int J Geriatr Psychiatry 2019; 34:1262-1266. [PMID: 31034674 PMCID: PMC6767119 DOI: 10.1002/gps.5129] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 04/12/2019] [Indexed: 11/23/2022]
Abstract
OBJECTIVES Head injury with loss of consciousness (HI-LOC) is a common occurrence. Some studies have linked such injuries with an increased risk of Alzheimer disease (AD). However, recent large clinicopathologic studies have failed to find a clear relationship between HI-LOC and the pathological changes associated with AD. The present study aims to further investigate the relationship between HI-LOC and AD pathology in the elderly. METHODS/DESIGN History of HI-LOC in participants in the University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age was ascertained. The donated brains of 110 of these individuals were assessed for AD pathology using consensus guidelines. Analyses aimed to elucidate relationships between HI-LOC and AD pathology. RESULTS No associations were found between incidence of HI-LOC and regional AD pathology or any of the three established measures of the neuropathology associated with AD: CERAD score, Thal phase, or Braak stage. CONCLUSIONS Single incidences of HI-LOC may not be sufficient to cause the pathology associated with late-stage AD. Other routes of damage, such as diffuse axonal injury or Lewy body pathology, may play a greater role in causing cognitive impairment associated with head injury.
Collapse
Affiliation(s)
- Andrew C. Robinson
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental PsychologyUniversity of Manchester, Salford Royal HospitalSalfordUK
| | - Yvonne S. Davidson
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental PsychologyUniversity of Manchester, Salford Royal HospitalSalfordUK
| | - Michael A. Horan
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental PsychologyUniversity of Manchester, Salford Royal HospitalSalfordUK
| | - Maggie Cairns
- Department of Geriatric medicine, Bolton NHS Foundation TrustRoyal Bolton HospitalBoltonUK
| | - Neil Pendleton
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental PsychologyUniversity of Manchester, Salford Royal HospitalSalfordUK
| | - David M.A. Mann
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental PsychologyUniversity of Manchester, Salford Royal HospitalSalfordUK
| |
Collapse
|
8
|
Robinson AC, McNamee R, Davidson YS, Horan MA, Snowden JS, McInnes L, Pendleton N, Mann DMA. Scores Obtained from a Simple Cognitive Test of Visuospatial Episodic Memory Performed Decades before Death Are Associated with the Ultimate Presence of Alzheimer Disease Pathology. Dement Geriatr Cogn Disord 2018; 45:79-90. [PMID: 29694971 DOI: 10.1159/000486827] [Citation(s) in RCA: 9] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 01/13/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Community- or population-based longitudinal studies of cognitive ability with a brain donation end point offer an opportunity to examine relationships between pathology and cognitive state prior to death. Discriminating the earliest signs of dementing disorders, such as Alzheimer disease (AD), is necessary to undertake early interventions and treatments. METHODS The neuropathological profile of brains donated from The University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age, including CERAD (Consortium to Establish a Registry for Alzheimer's Disease) and Braak stage, was assessed by immunohistochemistry. Cognitive test scores collected 20 years prior to death were correlated with the extent of AD pathology present at death. RESULTS Baseline scores from the Memory Circle test had the ability to distinguish between individuals who developed substantial AD pathology and those with no, or low, AD pathology. Predicted test scores at the age of 65 years also discriminated between these pathology groups. The addition of APOE genotype further improved the discriminatory ability of the model. CONCLUSIONS The results raise the possibility of identifying individuals at future risk of the neuropathological changes associated with AD over 20 years before death using a simple cognitive test. This work may facilitate early interventions, therapeutics and treatments for AD by identifying at-risk and minimally affected (in pathological terms) individuals.
Collapse
Affiliation(s)
- Andrew C Robinson
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, University of Manchester, Salford Royal Hospital, Salford, United Kingdom
| | - Roseanne McNamee
- Faculty of Biology, Medicine and Health, School of Health Sciences, Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, United Kingdom
| | - Yvonne S Davidson
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, University of Manchester, Salford Royal Hospital, Salford, United Kingdom
| | - Michael A Horan
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, University of Manchester, Salford Royal Hospital, Salford, United Kingdom
| | - Julie S Snowden
- Cerebral Function Unit, Greater Manchester Neuroscience Centre, Salford Royal Foundation Trust, Salford, United Kingdom
| | - Lynn McInnes
- Department of Psychology, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Neil Pendleton
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, University of Manchester, Salford Royal Hospital, Salford, United Kingdom
| | - David M A Mann
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, University of Manchester, Salford Royal Hospital, Salford, United Kingdom
| |
Collapse
|
9
|
Emeis JJ, Brouwer A, Barelds RJ, Horan MA, Durham SK, Kooistra T. On the Fibrinolytic System in Aged Rats, and Its Reactivity to Endotoxin and Cytokines. Thromb Haemost 2018. [DOI: 10.1055/s-0038-1648525] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
SummaryAged rats are more susceptible to endotoxin-induced effects, including microthrombosis and platelet aggregation, than are young rats. To investigate whether changes in the fibrinolytic system might be involved, we investigated the fibrinolytic activity in plasma euglobulin fractions and tissues (lung and heart) of young (6-months old) and aged (24-months old) rats under baseline conditions and after challenge with endotoxin. Aged rats had lower plasma levels of tissue-type plasminogen activator (t-PA) and of urokinase-type PA (u-PA) activity. PA inhibitor (PAI) activity was higher in the plasma of aged rats, as was t-PA activity in lung and heart.Rats were treated with either a low dose (1 μg/kg) or a high dose (10 mg/kg) of endotoxin. Both treatments induced a transient phase of increased blood fibrinolytic activity, as evidenced by higher levels of tissue-type plasminogen activator (t-PA) activity and decreased levels of PA inhibitor (PAI) activity. Over time, the fibrinolytic activity decreased, probably due to increased levels of PA inhibitor.Both the early increase in t-PA activity, and the subsequent increase in PAI activity, were more pronounced in the aged rats, as compared with the younger rats, after the high dose of endotoxin. The aged rats also responded to an injection of interleukin-1β or tumor necrosis factor-α with a larger increase of PAI activity than did the younger rats.Together the data suggest that, compared to young rats, aged rats have a decreased base-line plasma fibrinolytic activity, while their fibrinolytic system is more responsive to challenge by endotoxin and cytokines.
Collapse
Affiliation(s)
- J J Emeis
- The Gaubius Laboratory IVVO-TNO, Leiden, The Netherlands
| | - A Brouwer
- The Gaubius Laboratory IVVO-TNO, Leiden, The Netherlands
| | - R J Barelds
- The Gaubius Laboratory IVVO-TNO, Leiden, The Netherlands
| | - M A Horan
- The Gaubius Laboratory IVVO-TNO, Leiden, The Netherlands
| | - S K Durham
- The Gaubius Laboratory IVVO-TNO, Leiden, The Netherlands
| | - T Kooistra
- The Gaubius Laboratory IVVO-TNO, Leiden, The Netherlands
| |
Collapse
|
10
|
Robinson AC, Davidson YS, Horan MA, Pendleton N, Mann DM. Pathological Correlates of Cognitive Impairment in The University of Manchester Longitudinal Study of Cognition in Normal Healthy Old Age. J Alzheimers Dis 2018; 64:483-496. [DOI: 10.3233/jad-180171] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Andrew C. Robinson
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience& Experimental Psychology, University of Manchester, Salford Royal Hospital, Salford, UK
| | - Yvonne S. Davidson
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience& Experimental Psychology, University of Manchester, Salford Royal Hospital, Salford, UK
| | - Michael A. Horan
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience& Experimental Psychology, University of Manchester, Salford Royal Hospital, Salford, UK
| | - Neil Pendleton
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience& Experimental Psychology, University of Manchester, Salford Royal Hospital, Salford, UK
| | - David M.A. Mann
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience& Experimental Psychology, University of Manchester, Salford Royal Hospital, Salford, UK
| |
Collapse
|
11
|
Okbay A, Beauchamp JP, Fontana MA, Lee JJ, Pers TH, Rietveld CA, Turley P, Chen GB, Emilsson V, Meddens SFW, Oskarsson S, Pickrell JK, Thom K, Timshel P, de Vlaming R, Abdellaoui A, Ahluwalia TS, Bacelis J, Baumbach C, Bjornsdottir G, Brandsma JH, Pina Concas M, Derringer J, Furlotte NA, Galesloot TE, Girotto G, Gupta R, Hall LM, Harris SE, Hofer E, Horikoshi M, Huffman JE, Kaasik K, Kalafati IP, Karlsson R, Kong A, Lahti J, van der Lee SJ, deLeeuw C, Lind PA, Lindgren KO, Liu T, Mangino M, Marten J, Mihailov E, Miller MB, van der Most PJ, Oldmeadow C, Payton A, Pervjakova N, Peyrot WJ, Qian Y, Raitakari O, Rueedi R, Salvi E, Schmidt B, Schraut KE, Shi J, Smith AV, Poot RA, St Pourcain B, Teumer A, Thorleifsson G, Verweij N, Vuckovic D, Wellmann J, Westra HJ, Yang J, Zhao W, Zhu Z, Alizadeh BZ, Amin N, Bakshi A, Baumeister SE, Biino G, Bønnelykke K, Boyle PA, Campbell H, Cappuccio FP, Davies G, De Neve JE, Deloukas P, Demuth I, Ding J, Eibich P, Eisele L, Eklund N, Evans DM, Faul JD, Feitosa MF, Forstner AJ, Gandin I, Gunnarsson B, Halldórsson BV, Harris TB, Heath AC, Hocking LJ, Holliday EG, Homuth G, Horan MA, Hottenga JJ, de Jager PL, Joshi PK, Jugessur A, Kaakinen MA, Kähönen M, Kanoni S, Keltigangas-Järvinen L, Kiemeney LALM, Kolcic I, Koskinen S, Kraja AT, Kroh M, Kutalik Z, Latvala A, Launer LJ, Lebreton MP, Levinson DF, Lichtenstein P, Lichtner P, Liewald DCM, Loukola A, Madden PA, Mägi R, Mäki-Opas T, Marioni RE, Marques-Vidal P, Meddens GA, McMahon G, Meisinger C, Meitinger T, Milaneschi Y, Milani L, Montgomery GW, Myhre R, Nelson CP, Nyholt DR, Ollier WER, Palotie A, Paternoster L, Pedersen NL, Petrovic KE, Porteous DJ, Räikkönen K, Ring SM, Robino A, Rostapshova O, Rudan I, Rustichini A, Salomaa V, Sanders AR, Sarin AP, Schmidt H, Scott RJ, Smith BH, Smith JA, Staessen JA, Steinhagen-Thiessen E, Strauch K, Terracciano A, Tobin MD, Ulivi S, Vaccargiu S, Quaye L, van Rooij FJA, Venturini C, Vinkhuyzen AAE, Völker U, Völzke H, Vonk JM, Vozzi D, Waage J, Ware EB, Willemsen G, Attia JR, Bennett DA, Berger K, Bertram L, Bisgaard H, Boomsma DI, Borecki IB, Bültmann U, Chabris CF, Cucca F, Cusi D, Deary IJ, Dedoussis GV, van Duijn CM, Eriksson JG, Franke B, Franke L, Gasparini P, Gejman PV, Gieger C, Grabe HJ, Gratten J, Groenen PJF, Gudnason V, van der Harst P, Hayward C, Hinds DA, Hoffmann W, Hyppönen E, Iacono WG, Jacobsson B, Järvelin MR, Jöckel KH, Kaprio J, Kardia SLR, Lehtimäki T, Lehrer SF, Magnusson PKE, Martin NG, McGue M, Metspalu A, Pendleton N, Penninx BWJH, Perola M, Pirastu N, Pirastu M, Polasek O, Posthuma D, Power C, Province MA, Samani NJ, Schlessinger D, Schmidt R, Sørensen TIA, Spector TD, Stefansson K, Thorsteinsdottir U, Thurik AR, Timpson NJ, Tiemeier H, Tung JY, Uitterlinden AG, Vitart V, Vollenweider P, Weir DR, Wilson JF, Wright AF, Conley DC, Krueger RF, Davey Smith G, Hofman A, Laibson DI, Medland SE, Meyer MN, Yang J, Johannesson M, Visscher PM, Esko T, Koellinger PD, Cesarini D, Benjamin DJ. Genome-wide association study identifies 74 loci associated with educational attainment. Nature 2016; 533:539-42. [PMID: 27225129 PMCID: PMC4883595 DOI: 10.1038/nature17671] [Citation(s) in RCA: 733] [Impact Index Per Article: 91.6] [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] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 03/16/2016] [Indexed: 01/15/2023]
Abstract
Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.
Collapse
Affiliation(s)
- Aysu Okbay
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
| | - Jonathan P Beauchamp
- Department of Economics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Mark Alan Fontana
- Center for Economic and Social Research, University of Southern California, Los Angeles, California 90089-3332, USA
| | - James J Lee
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - Tune H Pers
- Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 2116, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen 2100, Denmark
- Statens Serum Institut, Department of Epidemiology Research, Copenhagen 2300, Denmark
| | - Cornelius A Rietveld
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
| | - Patrick Turley
- Department of Economics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Guo-Bo Chen
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Valur Emilsson
- Icelandic Heart Association, Kopavogur 201, Iceland
- Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavík 107, Iceland
| | - S Fleur W Meddens
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
- Department of Complex Trait Genetics, VU University, Center for Neurogenomics and Cognitive Research, Amsterdam, 1081 HV, The Netherlands
- Amsterdam Business School, University of Amsterdam, Amsterdam, 1018 TV, The Netherlands
| | - Sven Oskarsson
- Department of Government, Uppsala University, Uppsala 751 20, Sweden
| | | | - Kevin Thom
- Department of Economics, New York University, New York, New York 10012, USA
| | - Pascal Timshel
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark Lyngby 2800, Denmark
| | - Ronald de Vlaming
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
| | - Abdel Abdellaoui
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081 BT, The Netherlands
| | - Tarunveer S Ahluwalia
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen 2100, Denmark
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen 2820, Denmark
- Steno Diabetes Center, Gentofte 2820, Denmark
| | - Jonas Bacelis
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg 416 85, Sweden
| | - Clemens Baumbach
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | | | - Johannes H Brandsma
- Department of Cell Biology, Erasmus Medical Center Rotterdam, 3015 CN, The Netherlands
| | - Maria Pina Concas
- Istituto di Ricerca Genetica e Biomedica U.O.S. di Sassari, National Research Council of Italy, Sassari 07100, Italy
| | - Jaime Derringer
- Psychology, University of Illinois, Champaign, Illinois 61820, USA
| | | | - Tessel E Galesloot
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, 6500 HB, The Netherlands
| | - Giorgia Girotto
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
| | - Richa Gupta
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
| | - Leanne M Hall
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK
- NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Edith Hofer
- Department of Neurology, General Hospital and Medical University Graz, Graz 8036, Austria
- Institute for Medical Informatics, Statistics and Documentation, General Hospital and Medical University Graz, Graz 8036, Austria
| | - Momoko Horikoshi
- Oxford Centre for Diabetes, Endocrinology &Metabolism, University of Oxford, Oxford OX3 7LE, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Jennifer E Huffman
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Kadri Kaasik
- Institute of Behavioural Sciences, University of Helsinki, 00014 Helsinki, Finland
| | - Ioanna P Kalafati
- Nutrition and Dietetics, Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden
| | | | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, 00014 Helsinki, Finland
- Folkhälsan Research Centre, 00014 Helsingfors, Finland
| | - Sven J van der Lee
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Christiaan deLeeuw
- Department of Complex Trait Genetics, VU University, Center for Neurogenomics and Cognitive Research, Amsterdam, 1081 HV, The Netherlands
- Institute for Computing and Information Sciences, Radboud University Nijmegen, Nijmegen, 6525 EC, The Netherlands
| | - Penelope A Lind
- Quantitative Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | | | - Tian Liu
- Lifespan Psychology, Max Planck Institute for Human Development, Berlin 14195, Germany
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
- NIHR Biomedical Research Centre, Guy's and St. Thomas' Foundation Trust, London SE1 7EH, UK
| | - Jonathan Marten
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Evelin Mihailov
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Michael B Miller
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Christopher Oldmeadow
- Public Health Stream, Hunter Medical Research Institute, New Lambton, NSW 2305, Australia
- Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2300, Australia
| | - Antony Payton
- Centre for Integrated Genomic Medical Research, Institute of Population Health, The University of Manchester, Manchester M13 9PT, UK
- Human Communication and Deafness, School of Psychological Sciences, The University of Manchester, Manchester M13 9PL, UK
| | - Natalia Pervjakova
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Wouter J Peyrot
- Psychiatry, VU University Medical Center &GGZ inGeest, Amsterdam, 1081 HL, The Netherlands
| | - Yong Qian
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20521 Turku, Finland
| | - Rico Rueedi
- Department of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Erika Salvi
- Department Of Health Sciences, University of Milan, Milano 20142, Italy
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen 45147, Germany
| | - Katharina E Schraut
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892-9780, USA
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur 201, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Raymond A Poot
- Department of Cell Biology, Erasmus Medical Center Rotterdam, 3015 CN, The Netherlands
| | - Beate St Pourcain
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- School of Oral and Dental Sciences, University of Bristol, Bristol BS1 2LY, UK
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | | | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
| | - Dragana Vuckovic
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
| | - Juergen Wellmann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster 48149, Germany
| | - Harm-Jan Westra
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
- Partners Center for Personalized Genetic Medicine, Boston, Massachusetts 02115, USA
| | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois 60612, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Zhihong Zhu
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, 9713 GZ, The Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Andrew Bakshi
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Sebastian E Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
- Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg D-93053, Germany
| | - Ginevra Biino
- Institute of Molecular Genetics, National Research Council of Italy, Pavia 27100, Italy
| | - Klaus Bønnelykke
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen 2820, Denmark
| | - Patricia A Boyle
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois 60612, USA
| | - Harry Campbell
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | | | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | | | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Ilja Demuth
- The Berlin Aging Study II; Research Group on Geriatrics, Charité - Universitätsmedizin Berlin, Germany, Berlin 13347, Germany
- Institute of Medical and Human Genetics, Charité-Universitätsmedizin, Berlin, Berlin 13353, Germany
| | - Jun Ding
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA
| | - Peter Eibich
- German Socio- Economic Panel Study, DIW Berlin, Berlin 10117, Germany
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Lewin Eisele
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen 45147, Germany
| | - Niina Eklund
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - David M Evans
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- The University of Queensland Diamantina Institute, The Translational Research Institute, Brisbane, QLD 4102, Australia
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Mary F Feitosa
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri 63018, USA
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, Bonn 53127, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn 53127, Germany
| | - Ilaria Gandin
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
| | | | - Bjarni V Halldórsson
- deCODE Genetics/Amgen Inc., Reykjavik 101, Iceland
- Institute of Biomedical and Neural Engineering, School of Science and Engineering, Reykjavik University, Reykjavik 101, Iceland
| | - Tamara B Harris
- Laboratory of Epidemiology, Demography, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892-9205, USA
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Lynne J Hocking
- Division of Applied Health Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
| | - Elizabeth G Holliday
- Public Health Stream, Hunter Medical Research Institute, New Lambton, NSW 2305, Australia
- Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2300, Australia
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17475, Germany
| | - Michael A Horan
- Manchester Medical School, The University of Manchester, Manchester M13 9PT, UK
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081 BT, The Netherlands
| | - Philip L de Jager
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Program in Translational NeuroPsychiatric Genomics, Departments of Neurology &Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
- Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Peter K Joshi
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Astanand Jugessur
- Department of Genes and Environment, Norwegian Institute of Public Health, N-0403 Oslo, Norway
| | - Marika A Kaakinen
- Department of Genomics of Common Disease, Imperial College London, London, W12 0NN, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, 33521 Tampere, Finland
- Department of Clinical Physiology, University of Tampere, School of Medicine, 33014 Tampere, Finland
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | | | - Lambertus A L M Kiemeney
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, 6500 HB, The Netherlands
| | - Ivana Kolcic
- Public Health, Medical School, University of Split, 21000 Split, Croatia
| | - Seppo Koskinen
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Aldi T Kraja
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri 63018, USA
| | - Martin Kroh
- German Socio- Economic Panel Study, DIW Berlin, Berlin 10117, Germany
| | - Zoltan Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
- Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne 1010, Switzerland
| | - Antti Latvala
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
| | - Lenore J Launer
- Neuroepidemiology Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892-9205, USA
| | - Maël P Lebreton
- Amsterdam Business School, University of Amsterdam, Amsterdam, 1018 TV, The Netherlands
- Amsterdam Brain and Cognition Center, University of Amsterdam, Amsterdam, 1018 XA, The Netherlands
| | - Douglas F Levinson
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305-5797, USA
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Peter Lichtner
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - David C M Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | | | - Anu Loukola
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
| | - Pamela A Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Tomi Mäki-Opas
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Riccardo E Marioni
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Pedro Marques-Vidal
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne 1011, Switzerland
| | | | - George McMahon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Yusplitri Milaneschi
- Psychiatry, VU University Medical Center &GGZ inGeest, Amsterdam, 1081 HL, The Netherlands
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Grant W Montgomery
- Molecular Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | - Ronny Myhre
- Department of Genes and Environment, Norwegian Institute of Public Health, N-0403 Oslo, Norway
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK
- NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Dale R Nyholt
- Molecular Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
- Institute of Health and Biomedical Innovation, Queensland Institute of Technology, Brisbane, QLD 4059, Australia
| | - William E R Ollier
- Centre for Integrated Genomic Medical Research, Institute of Population Health, The University of Manchester, Manchester M13 9PT, UK
| | - Aarno Palotie
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- The Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Psychiatric &Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Lavinia Paternoster
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Katja E Petrovic
- Department of Neurology, General Hospital and Medical University Graz, Graz 8036, Austria
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, 00014 Helsinki, Finland
- Folkhälsan Research Centre, 00014 Helsingfors, Finland
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
| | - Antonietta Robino
- Medical Genetics, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste 34100, Italy
| | - Olga Rostapshova
- Department of Economics, Harvard University, Cambridge, Massachusetts 02138, USA
- Social Impact, Arlington, Virginia 22201, USA
| | - Igor Rudan
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Aldo Rustichini
- Department of Economics, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - Veikko Salomaa
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Alan R Sanders
- Department of Psychiatry and Behavioral Sciences, NorthShore University HealthSystem, Evanston, Illinois 60201-3137, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois 60637, USA
| | - Antti-Pekka Sarin
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland
- Public Health Genomics Unit, National Institute for Health and Welfare, 00300 Helsinki, Finland
| | - Helena Schmidt
- Department of Neurology, General Hospital and Medical University Graz, Graz 8036, Austria
- Research Unit for Genetic Epidemiology, Institute of Molecular Biology and Biochemistry, Center of Molecular Medicine, General Hospital and Medical University, Graz, Graz 8010, Austria
| | - Rodney J Scott
- Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2300, Australia
- Information Based Medicine Stream, Hunter Medical Research Institute, New Lambton, NSW 2305, Australia
| | - Blair H Smith
- Medical Research Institute, University of Dundee, Dundee DD1 9SY, UK
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jan A Staessen
- Research Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Science, University of Leuven, Leuven 3000, Belgium
- R&D VitaK Group, Maastricht University, Maastricht, 6229 EV, The Netherlands
| | - Elisabeth Steinhagen-Thiessen
- The Berlin Aging Study II; Research Group on Geriatrics, Charité - Universitätsmedizin Berlin, Germany, Berlin 13347, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig Maximilians-Universität, Munich 81377, Germany
| | - Antonio Terracciano
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, Florida 32306, USA
| | - Martin D Tobin
- Department of Health Sciences and Genetics, University of Leicester, Leicester LE1 7RH, UK
| | - Sheila Ulivi
- Medical Genetics, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste 34100, Italy
| | - Simona Vaccargiu
- Istituto di Ricerca Genetica e Biomedica U.O.S. di Sassari, National Research Council of Italy, Sassari 07100, Italy
| | - Lydia Quaye
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Cristina Venturini
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
- NIHR Biomedical Research Centre, Guy's and St. Thomas' Foundation Trust, London SE1 7EH, UK
| | - Anna A E Vinkhuyzen
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17475, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Judith M Vonk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Diego Vozzi
- Social Impact, Arlington, Virginia 22201, USA
| | - Johannes Waage
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen 2820, Denmark
- Steno Diabetes Center, Gentofte 2820, Denmark
| | - Erin B Ware
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA
- Research Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor, Michigan 48104, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081 BT, The Netherlands
| | - John R Attia
- Public Health Stream, Hunter Medical Research Institute, New Lambton, NSW 2305, Australia
- Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2300, Australia
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois 60612, USA
| | - Klaus Berger
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
| | - Lars Bertram
- Platform for Genome Analytics, Institutes of Neurogenetics &Integrative and Experimental Genomics, University of Lübeck, Lübeck 23562, Germany
- Neuroepidemiology and Ageing Research Unit, School of Public Health, Faculty of Medicine, Imperial College of Science, Technology and Medicine, London SW7 2AZ, UK
| | - Hans Bisgaard
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen 2820, Denmark
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081 BT, The Netherlands
| | - Ingrid B Borecki
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri 63018, USA
| | - Ute Bültmann
- Department of Health Sciences, Community &Occupational Medicine, University of Groningen, University Medical Center Groningen, Groningen, 9713 AV, The Netherlands
| | | | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari 9042, Italy
| | - Daniele Cusi
- Department Of Health Sciences, University of Milan, Milano 20142, Italy
- Institute of Biomedical Technologies, Italian National Research Council, Segrate (Milano) 20090, Italy
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - George V Dedoussis
- Nutrition and Dietetics, Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Johan G Eriksson
- Folkhälsan Research Centre, 00014 Helsingfors, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, 00014 Helsinki, Finland
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Donders Centre for Neuroscience, Nijmegen, 6500 HB, The Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
| | - Paolo Gasparini
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
- Medical Genetics, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste 34100, Italy
- Sidra, Experimental Genetics Division, Sidra, Doha 26999, Qatar
| | - Pablo V Gejman
- Department of Psychiatry and Behavioral Sciences, NorthShore University HealthSystem, Evanston, Illinois 60201-3137, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois 60637, USA
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Hans-Jörgen Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17475, Germany
- Department of Psychiatry and Psychotherapy, HELIOS-Hospital Stralsund, Stralsund 18437, Germany
| | - Jacob Gratten
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Patrick J F Groenen
- Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur 201, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, 1105 AZ, The Netherlands
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
- Generation Scotland, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | | | - Wolfgang Hoffmann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Elina Hyppönen
- Centre for Population Health Research, School of Health Sciences and Sansom Institute, University of South Australia, Adelaide, SA 5000, Australia
- South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
- Population, Policy and Practice, UCL Institute of Child Health, London WC1N 1EH, UK
| | - William G Iacono
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg 416 85, Sweden
- Department of Genes and Environment, Norwegian Institute of Public Health, N-0403 Oslo, Norway
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment &Health, School of Public Health, Imperial College London, London W2 1PG, UK
- Center for Life Course Epidemiology, Faculty of Medicine, University of Oulu, 90014 Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, 90029 Oulu, Finland
- Biocenter Oulu, University of Oulu, 90014 Oulu, Finland
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen 45147, Germany
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Terho Lehtimäki
- Fimlab Laboratories, 33520 Tampere, Finland
- Department of Clinical Chemistry, University of Tampere, School of Medicine, 33014 Tampere, Finland
| | - Steven F Lehrer
- Economics, NYU Shanghai, 200122 Pudong, China
- Policy Studies, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | - Matt McGue
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Neil Pendleton
- Centre for Clinical and Cognitive Neuroscience, Institute Brain Behaviour and Mental Health, Salford Royal Hospital, Manchester M6 8HD, UK
- Manchester Institute for Collaborative Research in Ageing, University of Manchester, Manchester M13 9PL, UK
| | - Brenda W J H Penninx
- Psychiatry, VU University Medical Center &GGZ inGeest, Amsterdam, 1081 HL, The Netherlands
| | - Markus Perola
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Nicola Pirastu
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
| | - Mario Pirastu
- Istituto di Ricerca Genetica e Biomedica U.O.S. di Sassari, National Research Council of Italy, Sassari 07100, Italy
| | - Ozren Polasek
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
- Faculty of Medicine, University of Split, Split 21000, Croatia
| | - Danielle Posthuma
- Department of Complex Trait Genetics, VU University, Center for Neurogenomics and Cognitive Research, Amsterdam, 1081 HV, The Netherlands
- Department of Clinical Genetics, VU Medical Centre, Amsterdam, 1081 HV, The Netherlands
| | - Christine Power
- Population, Policy and Practice, UCL Institute of Child Health, London WC1N 1EH, UK
| | - Michael A Province
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri 63018, USA
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK
- NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - David Schlessinger
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA
| | - Reinhold Schmidt
- Department of Neurology, General Hospital and Medical University Graz, Graz 8036, Austria
| | - Thorkild I A Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen 2100, Denmark
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Institute of Preventive Medicine. Bispebjerg and Frederiksberg Hospitals, The Capital Region, Frederiksberg 2000, Denmark
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Kari Stefansson
- deCODE Genetics/Amgen Inc., Reykjavik 101, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen Inc., Reykjavik 101, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - A Roy Thurik
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
- Montpellier Business School, Montpellier 34080, France
- Panteia, Zoetermeer, 2715 CA, The Netherlands
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Joyce Y Tung
- 23andMe, Inc., Mountain View, California 94041, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Peter Vollenweider
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne 1011, Switzerland
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - James F Wilson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Alan F Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Dalton C Conley
- Department of Sociology, New York University, New York, New York 10012, USA
- School of Medicine, New York University, New York, New York 10016, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - David I Laibson
- Department of Economics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Sarah E Medland
- Quantitative Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | - Michelle N Meyer
- Bioethics Program, Union Graduate College - Icahn School of Medicine at Mount Sinai, Schenectady, New York 12308, USA
| | - Jian Yang
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
- The University of Queensland Diamantina Institute, The Translational Research Institute, Brisbane, QLD 4102, Australia
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm 113 83, Sweden
| | - Peter M Visscher
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
- The University of Queensland Diamantina Institute, The Translational Research Institute, Brisbane, QLD 4102, Australia
| | - Tõnu Esko
- Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 2116, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Philipp D Koellinger
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
- Department of Complex Trait Genetics, VU University, Center for Neurogenomics and Cognitive Research, Amsterdam, 1081 HV, The Netherlands
- Amsterdam Business School, University of Amsterdam, Amsterdam, 1018 TV, The Netherlands
| | - David Cesarini
- Department of Economics, New York University, New York, New York 10012, USA
- Research Institute for Industrial Economics, Stockholm 10215, Sweden
| | - Daniel J Benjamin
- Center for Economic and Social Research, University of Southern California, Los Angeles, California 90089-3332, USA
| |
Collapse
|
12
|
Luciano M, Mõttus R, Harris SE, Davies G, Payton A, Ollier WER, Horan MA, Starr JM, Porteous DJ, Pendleton N, Deary IJ. Predicting cognitive ability in ageing cohorts using Type 2 diabetes genetic risk. Diabet Med 2014; 31:714-20. [PMID: 24344862 DOI: 10.1111/dme.12389] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [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: 05/31/2013] [Revised: 10/29/2013] [Accepted: 12/12/2013] [Indexed: 02/06/2023]
Abstract
AIMS To investigate whether there is overlap in the genetic determinants of Type 2 diabetes and cognitive ageing by testing whether a genetic risk score for Type 2 diabetes can predict variation in cognitive function in older people without dementia. METHODS Type 2 diabetes genetic risk scores were estimated using various single nucleotide polymorphism significance inclusion criteria from an initial genome-wide association study, the largest in Type 2 diabetes to date. Scores were available for 2775-3057 individuals, depending on the cognitive trait. RESULTS Type 2 diabetes genetic risk was associated with self-reported diabetes mellitus. Across varying single nucleotide polymorphism-inclusion levels, a significant association between Type 2 diabetes genetic risk and change in general cognitive function was found (median r = 0.04); however, this was such that higher Type 2 diabetes genetic risk related to higher cognitive scores. CONCLUSIONS To investigate more fully the source of the often observed comorbidity between Type 2 diabetes and cognitive impairment, one direction for future research will be to use cognitive ability polygenic risk scores to predict Type 2 diabetes in line with the reverse causation hypothesis that people with lower pre-morbid cognitive ability are more likely to develop Type 2 diabetes.
Collapse
Affiliation(s)
- M Luciano
- Department of Psychology, The University of Edinburgh, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
13
|
Peters MJ, Broer L, Willemen HLDM, Eiriksdottir G, Hocking LJ, Holliday KL, Horan MA, Meulenbelt I, Neogi T, Popham M, Schmidt CO, Soni A, Valdes AM, Amin N, Dennison EM, Eijkelkamp N, Harris TB, Hart DJ, Hofman A, Huygen FJPM, Jameson KA, Jones GT, Launer LJ, Kerkhof HJM, de Kruijf M, McBeth J, Kloppenburg M, Ollier WE, Oostra B, Payton A, Rivadeneira F, Smith BH, Smith AV, Stolk L, Teumer A, Thomson W, Uitterlinden AG, Wang K, van Wingerden SH, Arden NK, Cooper C, Felson D, Gudnason V, Macfarlane GJ, Pendleton N, Slagboom PE, Spector TD, Völzke H, Kavelaars A, van Duijn CM, Williams FMK, van Meurs JBJ. Genome-wide association study meta-analysis of chronic widespread pain: evidence for involvement of the 5p15.2 region. Ann Rheum Dis 2013; 72:427-36. [PMID: 22956598 PMCID: PMC3691951 DOI: 10.1136/annrheumdis-2012-201742] [Citation(s) in RCA: 101] [Impact Index Per Article: 9.2] [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: 04/22/2012] [Accepted: 07/19/2012] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND OBJECTIVES Chronic widespread pain (CWP) is a common disorder affecting ∼10% of the general population and has an estimated heritability of 48-52%. In the first large-scale genome-wide association study (GWAS) meta-analysis, we aimed to identify common genetic variants associated with CWP. METHODS We conducted a GWAS meta-analysis in 1308 female CWP cases and 5791 controls of European descent, and replicated the effects of the genetic variants with suggestive evidence for association in 1480 CWP cases and 7989 controls. Subsequently, we studied gene expression levels of the nearest genes in two chronic inflammatory pain mouse models, and examined 92 genetic variants previously described associated with pain. RESULTS The minor C-allele of rs13361160 on chromosome 5p15.2, located upstream of chaperonin-containing-TCP1-complex-5 gene (CCT5) and downstream of FAM173B, was found to be associated with a 30% higher risk of CWP (minor allele frequency=43%; OR=1.30, 95% CI 1.19 to 1.42, p=1.2×10(-8)). Combined with the replication, we observed a slightly attenuated OR of 1.17 (95% CI 1.10 to 1.24, p=4.7×10(-7)) with moderate heterogeneity (I2=28.4%). However, in a sensitivity analysis that only allowed studies with joint-specific pain, the combined association was genome-wide significant (OR=1.23, 95% CI 1.14 to 1.32, p=3.4×10(-8), I2=0%). Expression levels of Cct5 and Fam173b in mice with inflammatory pain were higher in the lumbar spinal cord, not in the lumbar dorsal root ganglions, compared to mice without pain. None of the 92 genetic variants previously described were significantly associated with pain (p>7.7×10(-4)). CONCLUSIONS We identified a common genetic variant on chromosome 5p15.2 associated with joint-specific CWP in humans. This work suggests that CCT5 and FAM173B are promising targets in the regulation of pain.
Collapse
Affiliation(s)
- Marjolein J Peters
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
| | - Linda Broer
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Hanneke L D M Willemen
- Laboratory of Neuroimmunology and Developmental Origins of Disease, University Medical Center Utrecht, The Netherlands
| | | | - Lynne J Hocking
- Aberdeen Pain Research Collaboration (Musculoskeletal Research), University of Aberdeen, Aberdeen, UK
| | - Kate L Holliday
- Arthritis Research UK Epidemiology Unit, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Michael A Horan
- Mental Health and Neurodegeneration Group, School Community Based Medicine, University of Manchester, Manchester, UK
| | - Ingrid Meulenbelt
- Department of Medical Statistics and Bioinformatics, Section of Molecular Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Tuhina Neogi
- Clinical Epidemiology Unit, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Maria Popham
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Carsten O Schmidt
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Anushka Soni
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - Ana M Valdes
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand
| | - Niels Eijkelkamp
- Molecular Nociception Group, University College London, London, UK
| | - Tamara B Harris
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Deborah J Hart
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Frank J P M Huygen
- Department of Anaesthesiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Karen A Jameson
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Gareth T Jones
- Aberdeen Pain Research Collaboration (Epidemiology Group), University of Aberdeen, Aberdeen, UK
| | - Lenore J Launer
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Hanneke J M Kerkhof
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
| | - Marjolein de Kruijf
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
- Department of Anaesthesiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - John McBeth
- Arthritis Research UK Epidemiology Unit, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Margreet Kloppenburg
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - William E Ollier
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK
| | - Ben Oostra
- Department of Clinical Genetics, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Antony Payton
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Blair H Smith
- Medical Research Institute, University of Dundee, Dundee, UK
| | - Albert V Smith
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Lisette Stolk
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
| | - Alexander Teumer
- Institute of Functional Genomics, Ernst Moritz Arndt University Greifswald, University of Greifswald, Greifswald, Germany
| | - Wendy Thomson
- Arthritis Research UK Epidemiology Unit, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ke Wang
- Clinical Epidemiology Unit, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Sophie H van Wingerden
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Nigel K Arden
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - David Felson
- Clinical Epidemiology Unit, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Gary J Macfarlane
- Aberdeen Pain Research Collaboration (Epidemiology Group), University of Aberdeen, Aberdeen, UK
| | - Neil Pendleton
- Mental Health and Neurodegeneration Group, School Community Based Medicine, University of Manchester, Manchester, UK
| | - P Eline Slagboom
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
- Department of Medical Statistics and Bioinformatics, Section of Molecular Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Annemieke Kavelaars
- Laboratory of Neuroimmunology and Developmental Origins of Disease, University Medical Center Utrecht, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
| |
Collapse
|
14
|
Cooper AL, Gibbons L, Horan MA, Little RA, Rothwell NJ. Effect of dietary fish oil supplementation on fever and cytokine production in human volunteers. Clin Nutr 2012; 12:321-8. [PMID: 16843333 DOI: 10.1016/0261-5614(93)90027-2] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/1993] [Accepted: 05/07/1993] [Indexed: 12/21/2022]
Abstract
The effect of dietary fish oil supplementation on acute phase responses to intramuscular injection of typhoid vaccine, and in vitro cytokine production, was investigated in human volunteers. Half of the subjects supplemented their normal diet with 4.5 g/day of fish oil for 6-8 weeks. Injection of typhoid vaccine in unsupplemented subjects caused an increase in white cell count, resting heart rate, metabolic rate, oxygen consumption, and oral temperature. Fish oil supplementation inhibited the tachycardia and attenuated the maximal increases in oral temperature and metabolic rate following typhoid vaccine. However, interpretation of these latter results were complicated by similarly attenuated responses in saline-injected subjects. The in vitro production of interleukin-1 and interleukin-6 from whole blood was suppressed by fish oil supplementation, however, production of tumor necrosis factor alpha was not significantly altered. Fish oil supplementation may therefore provide a non-pharmacological approach of attenuating several of the responses associated with injury and infection and this may be related to reduced cytokine (IL-1 and IL-6) production.
Collapse
Affiliation(s)
- A L Cooper
- Department of Physiological Sciences, The Medical School, University of Manchester, Manchester, M13 9PT, UK
| | | | | | | | | |
Collapse
|
15
|
Holliday KL, Thomson W, Neogi T, Felson DT, Wang K, Wu FC, Huhtaniemi IT, Bartfai G, Casanueva F, Forti G, Kula K, Punab M, Vanderschueren D, Macfarlane GJ, Horan MA, Ollier W, Payton A, Pendleton N, McBeth J. The non-synonymous SNP, R1150W, in SCN9A is not associated with chronic widespread pain susceptibility. Mol Pain 2012; 8:72. [PMID: 23006801 PMCID: PMC3502104 DOI: 10.1186/1744-8069-8-72] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [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: 08/16/2011] [Accepted: 09/05/2012] [Indexed: 12/04/2022] Open
Abstract
Background Mutations in SCN9A, encoding the alpha subunit of the voltage-gated sodium channel (Nav1.7), have caused severe pain disorders and congenital insensitivity to pain. The aim of this study was to validate the previously reported association between a common non-synonymous polymorphism (R1150W, rs6746030) in SCN9A and chronic widespread pain (CWP), in independent population-based cohorts. Findings Genotype data for rs6746030 was available in four population-based cohorts (EPIFUND, the European Male Ageing Study (EMAS), the Framingham study and the Dyne Steel DNA Bank of Ageing and Cognition). Pain was assessed using body manikins and CWP was scored using American College of Rheumatology (ACR) criteria in all cohorts, except the Framingham study which assessed widespread pain (WP) using ACR criteria on a joint pain homunculus. Controls were subjects who reported no pain. Logistic regression (additive genetic model) was used to test for association between rs6746030 and CWP compared to controls, adjusting for study centre in EMAS. Generalised estimating equation regression was used to test for association between rs6746030 and WP, whilst accounting for relatedness between subjects in the Framingham study. Genotype data for rs6746030 was available for 1071 CWP cases and 3212 controls. There was no significant association between CWP and rs6476030 in individual cohorts or when combined in a fixed-effects meta-analysis (Odds Ratio = 0.96 (95% confidence interval 0.82, 1.11) p = 0.567). Conclusions In contrast to a previous study, no association between a non-synonymous polymorphism in SCN9A and CWP was observed in multiple population-based cohorts.
Collapse
Affiliation(s)
- Kate L Holliday
- Arthritis Research UK Epidemiology Unit, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
16
|
Luciano M, MacLeod AK, Payton A, Davies G, Ke X, Tenesa A, Ollier W, Starr JM, Horan MA, Pendleton N, Thomson PA, Porteous DJ, Deary IJ. Effects of gene copy number variants on personality and mood in ageing cohorts. Personality and Individual Differences 2012. [DOI: 10.1016/j.paid.2011.12.019] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
|
17
|
Hamilton G, Harris SE, Davies G, Liewald DC, Tenesa A, Payton A, Horan MA, Ollier WER, Pendleton N, Starr JM, Porteous D, Deary IJ. The role of ECE1 variants in cognitive ability in old age and Alzheimer's disease risk. Am J Med Genet B Neuropsychiatr Genet 2012; 159B:696-709. [PMID: 22693153 DOI: 10.1002/ajmg.b.32073] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [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: 11/14/2011] [Accepted: 05/23/2012] [Indexed: 12/13/2022]
Abstract
The β-amyloid peptide may play a central role in Alzheimer's disease (AD) pathogenesis. We have evaluated variants in seven Aβ-degrading genes (ACE, ECE1, ECE2, IDE, MME, PLAU, and TF) for association with AD risk in the Genetic and Environmental Risk in Alzheimer's Disease Consortium 1 (GERAD1) cohort, and with three cognitive phenotypes in the Lothian Birth Cohort 1936 (LBC1936), using 128 and 121 SNPs, respectively. In GERAD1, we identified a significant association between a four-SNP intragenic ECE1 haplotype and risk of AD in individuals that carried at least one APOE ε4 allele (P = 0.00035, odds ratio = 1.61). In LBC1936, we identified a significant association between a different two-SNP ECE1 intragenic haplotype and non-verbal reasoning in individuals lacking the APOE ε4 allele (P = 0.00036, β = -0.19). Both results showed a trend towards significance after permutation (0.05 < P < 0.10). A follow-up cognitive genetic study evaluated the association of ECE1 SNPs in three additional cohorts of non-demented older people. Meta-analysis of the four cohorts identified the significant association (Z < 0.05) of SNPs in the ECE-1b promoter with non-verbal reasoning scores, particularly in individuals lacking the APOE ε4 allele. Our genetic findings are not wholly consistent. Nonetheless, the AD associated intronic haplotype is linked to the 338A variant of known ECE1b promoter variant, 338C>A (rs213045). We observed significantly less expression from the 338A variant in two human neuroblastoma cell lines and speculate that this promoter may be subject to tissue-specific regulation.
Collapse
Affiliation(s)
- Gillian Hamilton
- Medical Genetics, Molecular Medicine Centre, University of Edinburgh, Edinburgh, UK.
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
18
|
Luciano M, Huffman JE, Arias-Vásquez A, Vinkhuyzen AAE, Middeldorp CM, Giegling I, Payton A, Davies G, Zgaga L, Janzing J, Ke X, Galesloot T, Hartmann AM, Ollier W, Tenesa A, Hayward C, Verhagen M, Montgomery GW, Hottenga JJ, Konte B, Starr JM, Vitart V, Vos PE, Madden PAF, Willemsen G, Konnerth H, Horan MA, Porteous DJ, Campbell H, Vermeulen SH, Heath AC, Wright A, Polasek O, Kovacevic SB, Hastie ND, Franke B, Boomsma DI, Martin NG, Rujescu D, Wilson JF, Buitelaar J, Pendleton N, Rudan I, Deary IJ. Genome-wide association uncovers shared genetic effects among personality traits and mood states. Am J Med Genet B Neuropsychiatr Genet 2012; 159B:684-95. [PMID: 22628180 PMCID: PMC3795298 DOI: 10.1002/ajmg.b.32072] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.2] [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: 01/06/2012] [Accepted: 05/03/2012] [Indexed: 12/27/2022]
Abstract
Measures of personality and psychological distress are correlated and exhibit genetic covariance. We conducted univariate genome-wide SNP (~2.5 million) and gene-based association analyses of these traits and examined the overlap in results across traits, including a prediction analysis of mood states using genetic polygenic scores for personality. Measures of neuroticism, extraversion, and symptoms of anxiety, depression, and general psychological distress were collected in eight European cohorts (n ranged 546-1,338; maximum total n = 6,268) whose mean age ranged from 55 to 79 years. Meta-analysis of the cohort results was performed, with follow-up associations of the top SNPs and genes investigated in independent cohorts (n = 527-6,032). Suggestive association (P = 8 × 10(-8)) of rs1079196 in the FHIT gene was observed with symptoms of anxiety. Other notable associations (P < 6.09 × 10(-6)) included SNPs in five genes for neuroticism (LCE3C, POLR3A, LMAN1L, ULK3, SCAMP2), KIAA0802 for extraversion, and NOS1 for general psychological distress. An association between symptoms of depression and rs7582472 (near to MGAT5 and NCKAP5) was replicated in two independent samples, but other replication findings were less consistent. Gene-based tests identified a significant locus on chromosome 15 (spanning five genes) associated with neuroticism which replicated (P < 0.05) in an independent cohort. Support for common genetic effects among personality and mood (particularly neuroticism and depressive symptoms) was found in terms of SNP association overlap and polygenic score prediction. The variance explained by individual SNPs was very small (up to 1%) confirming that there are no moderate/large effects of common SNPs on personality and related traits.
Collapse
Affiliation(s)
- Michelle Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
| | - Jennifer E Huffman
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - Alejandro Arias-Vásquez
- Donders Institute for Brain, Cognition and Behaviour, Departments of Psychiatry and Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | | | - Christel M Middeldorp
- Department of Biological Psychology, VU University Amsterdam, The Netherlands,Department of Child and Adolescent Psychiatry, Amsterdam Medical Center and Department of Child and Adolescent Psychiatry, GGZ inGeest/VU University Medical Center, Amsterdam, The Netherlands
| | - Ina Giegling
- Dept. of Psychiatry, University of Munich (LMU), Munich, Germany
| | - Antony Payton
- CIGMR, School of Cancer and Enabling Sciences, University of Manchester, UK
| | - Gail Davies
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Lina Zgaga
- Department of Medical statistics, Epidemiology and Medical Informatics, Andrija Štampar School of Public Health, Zagreb University School of Medicine, Croatia,Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, UK
| | - Joost Janzing
- Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Xiayi Ke
- Paediatric Epidemiology Unit, Institute for Child Health, School of Life and Medical Sciences, UCL, London, UK
| | - Tessel Galesloot
- Departments of Epidemiology, Biostatistics and HTA & Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | | | - William Ollier
- CIGMR, School of Cancer and Enabling Sciences, University of Manchester, UK
| | - Albert Tenesa
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, UK
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - Maaike Verhagen
- Behavioural Science Institute, Radboud University Nijmegen, The Netherlands
| | | | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, The Netherlands
| | - Bettina Konte
- Dept. of Psychiatry, University of Munich (LMU), Munich, Germany
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Geriatric Medicine Unit, University of Edinburgh, Royal Victoria Hospital, UK
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - Pieter E Vos
- Department of Neurology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Pamela AF Madden
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, The Netherlands
| | - Heike Konnerth
- Dept. of Psychiatry, University of Munich (LMU), Munich, Germany
| | - Michael A Horan
- Clinical Neurosciences, School of Translational Medicine, The University of Manchester, Hope Hospital, Salford, Greater Manchester, UK
| | - David J Porteous
- University of Edinburgh Molecular Medicine Centre, Western General Hospital, Edinburgh, UK
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, UK
| | - Sita H Vermeulen
- Departments of Epidemiology, Biostatistics and HTA & Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Andrew C Heath
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Alan Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - Ozren Polasek
- Department of Public Health, Medical School, University of Split, Croatia
| | | | - Nicholas D Hastie
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - Barbara Franke
- Donders Institute for Brain, Cognition and Behaviour, Departments of Psychiatry and Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, The Netherlands
| | | | - Dan Rujescu
- Dept. of Psychiatry, University of Munich (LMU), Munich, Germany
| | - James F Wilson
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, UK
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Neil Pendleton
- Mental Health and Neurodegeneration research group, School of Community Based Medicine, The University of Manchester, Hope Hospital, Salford, Greater Manchester, UK
| | - Igor Rudan
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK,Department of Public Health, Medical School, University of Split, Croatia,Sisters of Mercy University Hospital, Zagreb, Croatia
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| |
Collapse
|
19
|
Williams LR, Hutchinson CE, Jackson A, Horan MA, Jones M, McInnes L, Rabbitt PMA, Pendleton N. Clinical correlates of cerebral white matter hyperintensities in cognitively normal older adults. Arch Gerontol Geriatr 2009; 50:127-31. [PMID: 19356807 DOI: 10.1016/j.archger.2009.02.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2008] [Revised: 02/16/2009] [Accepted: 02/23/2009] [Indexed: 10/20/2022]
Abstract
Many research studies have demonstrated asymptomatic white matter hyperintensities (WMHs) in older adults, which are postulated to be ischemic in origin. We hypothesized that certain clinical predictors, measured in a population of healthy older adults, would have a positive relationship with WMH scoring on magnetic resonance imaging (MRI). As part of a longitudinal study of cognitive aging we have performed MRI on healthy older adults. In a group of 46 volunteers (25 females; median age 73, range 63-84 years), we have calculated of the Hachinski score and Framingham Stroke Risk Profile (FSRP). Volunteers also provided self-reported health information using the Cornell Medical Index (CMI). These were compared against the total Age Related White Matter Changes (ARWMC) score. The mean total ARWMC score was 7.4 + or - 5.27 (+ or - S.D.) and only 3 (6.5%) individuals had no evidence of WMH. Regression analysis of individual variables identified self-report of cardiovascular disease from the CMI, section C as the only significant predictor of ARWMC. A multivariate linear regression model also identified FSRP at 1 year as a second independently significant predictor. The multivariate model accounted for 19% of the variance in total ARWMC score. The only 6.5% of individuals who had no WMH is in keeping with previous studies. The important finding was the positive relationship with self-reported cardiovascular disease, which is a possible biomarker of sub-clinical cerebrovascular disease (CVD).
Collapse
Affiliation(s)
- L R Williams
- Imaging Science and Biomedical Engineering, University of Manchester, Stopford Building, Oxford Road, Manchester, M1 3 9PT, UK
| | | | | | | | | | | | | | | |
Collapse
|
20
|
Salonen JT, Uimari P, Aalto JM, Pirskanen M, Kaikkonen J, Todorova B, Hyppönen J, Korhonen VP, Asikainen J, Devine C, Tuomainen TP, Luedemann J, Nauck M, Kerner W, Stephens RH, New JP, Ollier WE, Gibson JM, Payton A, Horan MA, Pendleton N, Mahoney W, Meyre D, Delplanque J, Froguel P, Luzzatto O, Yakir B, Darvasi A. Type 2 diabetes whole-genome association study in four populations: the DiaGen consortium. Am J Hum Genet 2007; 81:338-45. [PMID: 17668382 PMCID: PMC1950819 DOI: 10.1086/520599] [Citation(s) in RCA: 152] [Impact Index Per Article: 8.9] [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: 04/05/2007] [Accepted: 05/07/2007] [Indexed: 12/13/2022] Open
Abstract
Type 2 diabetes (T2D) is a common, polygenic chronic disease with high heritability. The purpose of this whole-genome association study was to discover novel T2D-associated genes. We genotyped 500 familial cases and 497 controls with >300,000 HapMap-derived tagging single-nucleotide-polymorphism (SNP) markers. When a stringent statistical correction for multiple testing was used, the only significant SNP was at TCF7L2, which has already been discovered and confirmed as a T2D-susceptibility gene. For a replication study, we selected 10 SNPs in six chromosomal regions with the strongest association (singly or as part of a haplotype) for retesting in an independent case-control set including 2,573 T2D cases and 2,776 controls. The most significant replicated result was found at the AHI1-LOC441171 gene region.
Collapse
Affiliation(s)
- Jukka T Salonen
- Oy Jurilab, and Research Institute of Public Health, University of Kuopio, Kuopio, Finland, and Hope Hospital, Salford, UK
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
21
|
Abstract
OBJECTIVES (1) To determine the attitudes and perceptions of the elderly with regard to dementia. (2) To correlate these beliefs with demographic variables of age, sex, intelligence scores and social class. METHOD A postal questionnaire survey of a sample of 562 subjects of the Manchester University Age and Cognitive Performance longitudinal study group. RESULTS The response rate was 95%. Most responders (69%) did not worry about dementia, although they were more likely to think about it if they had a family member with dementia (p < 0.005). There is no link between social class, sex, intelligence scores and age with regard to worries and concerns of dementia. The majority of responders (82%) took action to maintain their health but demonstrated poor awareness of risks or protective factors for dementia. CONCLUSION The elderly on the whole were not fearful of dementia or of acquiring it. There was poor awareness of risks or protective factors for dementia.
Collapse
Affiliation(s)
- L H Joyce Yeo
- Department of Geriatric Medicine, Hope Hospital, Manchester, UK.
| | | | | | | |
Collapse
|
22
|
|
23
|
Davidson Y, Gibbons L, Pritchard A, Hardicre J, Wren J, Stopford C, Julien C, Thompson J, Payton A, Pickering-Brown SM, Pendleton N, Horan MA, Burns A, Purandare N, Lendon CL, Neary D, Snowden JS, Mann DMA. Apolipoprotein E epsilon4 allele frequency and age at onset of Alzheimer's disease. Dement Geriatr Cogn Disord 2007; 23:60-6. [PMID: 17108687 DOI: 10.1159/000097038] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.4] [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] [Accepted: 09/06/2006] [Indexed: 11/19/2022] Open
Abstract
The age distribution of the epsilon4 allelic form of the apolipoprotein E gene (APOE) was investigated in 630 patients with Alzheimer's disease (AD) with onset age ranging from 35 to 90 years. Overall, mean age at onset in APOE epsilon4 allele bearers was significantly later than that in nonbearers. However, when stratified into early onset AD (EOAD) and late onset (LOAD) groups, mean age at onset in EOAD cases bearing APOE epsilon4 allele was later than that in those EOAD cases without epsilon4 allele, whereas in LOAD mean age at onset in cases bearing APOE epsilon4 allele was earlier than in those without epsilon4 allele. When analysed by decade, it was observed that 37% of the total number of APOE epsilon4 allele bearers, and 43% of total number of cases with APOE epsilon4/epsilon4 genotype fell into the 60-69 years age class. Hence, APOE epsilon4 allele frequency, at 0.44, was highest in the 60-69 years age class, progressively decreasing either side of this age group. APOE epsilon4 allele therefore has its maximum impact between onset ages of between 60 and 70 years.
Collapse
Affiliation(s)
- Yvonne Davidson
- Clinical Neuroscience Research Group, Division of Medicine and Neuroscience, University of Manchester, Greater Manchester Neurosciences Centre, Hope Hospital, Salford, UK
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
24
|
Davidson Y, Gibbons L, Pritchard A, Hardicre J, Wren J, Tian J, Shi J, Stopford C, Julien C, Thompson J, Payton A, Thaker U, Hayes AJ, Iwatsubo T, Pickering-Brown SM, Pendleton N, Horan MA, Burns A, Purandare N, Lendon CL, Neary D, Snowden JS, Mann DMA. Genetic associations between cathepsin D exon 2 C-->T polymorphism and Alzheimer's disease, and pathological correlations with genotype. J Neurol Neurosurg Psychiatry 2006; 77:515-7. [PMID: 16543533 PMCID: PMC2077521 DOI: 10.1136/jnnp.2005.063917] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.4] [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] [Indexed: 11/04/2022]
Abstract
Genetic variations represent major risk factors for Alzheimer's disease (AD). While familial early onset AD is associated with mutations in the amyloid precursor protein and presenilin genes, only the e4 allele of the apolipoprotein E (APOE) gene has so far been established as a genetic risk factor for late onset familial and sporadic AD. It has been suggested that the C-->T (224Ala-->Val) transition within exon 2 of the cathepsin D gene (CTSD) might represent a risk factor for late onset AD. The objective of this study was to investigate whether possession of the CTSD exon 2 T allele increases the risk of developing AD, and to determine whether this modulates the amyloid pathology of the disease in conjunction with, or independent of, the APOE e4 allele. Blood samples were obtained from 412 patients with possible or probable AD and brain tissues from a further 148 patients with AD confirmed by postmortem examination. CTSD and APOE genotyping were performed by PCR on DNA extracted from blood, or from frontal cortex or cerebellum in the postmortem cases. Pathological measures of amyloid beta protein (Abeta), as plaque Abeta40 and Abeta42(3) load and degree of cerebral amyloid angiopathy were made by image analysis or semiquantitative rating, respectively. CTSD genotype frequencies in AD were not significantly different from those in control subjects, nor did these differ between cases of early or late onset AD or between younger and older controls. There was no gene interaction between the CTSD T and APOE e4 alleles. The amount of plaque Abeta40 was greater in patients carrying the CTSD T allele than in non-carriers, and in patients bearing APOE e4 allele compared with non-carriers. Possession of both these alleles acted synergistically to increase levels of plaque Abeta40, especially in those individuals who were homozygous for the APOE e4 allele. Possession of the CTSD T allele had no effect on plaque Abeta42(3) load or degree of CAA. Possession of the CTSD T allele does not increase the risk of developing AD per se, but has a modulating effect on the pathogenesis of the disorder by increasing, in concert with the APOE e4 allele, the amount of Abeta deposited as senile plaques in the brain in the form of Abeta40.
Collapse
Affiliation(s)
- Y Davidson
- Clinical Neuroscience Research Group, University of Manchester, Greater Manchester Neurosciences Centre, Hope Hospital, Stott Lane, Salford M6 8HD, Manchester, UK
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
25
|
Srinivasan R, Davidson Y, Gibbons L, Payton A, Richardson AMT, Varma A, Julien C, Stopford C, Thompson J, Horan MA, Pendleton N, Pickering-Brown SM, Neary D, Snowden JS, Mann DMA. The apolipoprotein E epsilon4 allele selectively increases the risk of frontotemporal lobar degeneration in males. J Neurol Neurosurg Psychiatry 2006; 77:154-8. [PMID: 16421115 PMCID: PMC2077587 DOI: 10.1136/jnnp.2005.063966] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.6] [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: 01/21/2005] [Revised: 08/15/2005] [Accepted: 08/26/2005] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To determine whether polymorphic variations in the apolipoprotein E gene (APOE) are associated with increased risk of frontotemporal lobar degeneration (FTLD) when mutation in tau gene is absent. METHODS The APOE gene was genotyped by polymerase chain reaction from DNA routinely extracted from blood or brain tissues. The APOE epsilon4 allele frequency in 198 patients with FTLD not associated with mutations in tau gene was compared with that of a control group of 756 normal individuals drawn from the same geographical region. Analyses were done according to clinical subtype or sex. RESULTS The APOE epsilon4 allele frequency (19.4%) was increased (p = 0.01) in FTLD v the whole control group (14.1%), while the APOE epsilon2 allele frequency in FTLD (6.5%) was slightly lower than in controls (8.0%) (NS). The APOE epsilon4 allele frequency in men with FTLD (22.3%) was greater (p = 0.002) than in male controls (12.3%); the frequency in women (16.3%) was similar to that in female controls (14.8%) (NS). The APOE epsilon2 allele frequency in men with FTLD was 4.9% while in male controls it was 9.5% (p = 0.06), but there was no difference in women (7.5% v 7.9%, NS). Neither the APOE epsilon2 nor APOE epsilon4 allele frequency varied significantly between any of the clinical subtypes. CONCLUSIONS In FTLD not associated with mutations in tau gene, possession of APOE epsilon4 allele in men roughly doubles the chances of developing disease, whereas this has no impact upon disease risk in women.
Collapse
Affiliation(s)
- R Srinivasan
- Clinical Neurosciences Research Group, University of Manchester, UK
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
26
|
Pendleton N, Clague JE, Cobain M, Thethi K, Jones M, Horan MA, McInnes L, Rabbitt PMA. Relationship between self-reported prevalence of diabetes mellitus using the Cornell Medical Index (CMI) and prevalence determined by glycosylated hemoglobin (HbA(1c)) in an elderly community-dwelling population. Arch Gerontol Geriatr 2005; 41:289-96. [PMID: 15992945 DOI: 10.1016/j.archger.2005.04.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2004] [Revised: 04/04/2005] [Accepted: 04/05/2005] [Indexed: 11/16/2022]
Abstract
Reports of diabetes mellitus samples in community-dwelling unselected populations suggest a prevalence of 6%. A further 3% of unknown diabetes mellitus subjects are suggested when using formal biochemical methods of diagnosis. In this study, we present the prevalence of diabetes mellitus by self-reports using the CMI and concomitant biochemical detection in 436 community-dwelling older adults who have participated in a 20-year-study of age and cognitive performance in Manchester, UK. Twenty-three of the group reported that they had diagnosed diabetes mellitus, three individuals had a raised HbA(1c) of greater than 7.0% on random testing, but no knowledge of having diabetes mellitus. These individuals were re-contacted and three said they subsequently had a diagnosis of diabetes mellitus made within the two years following the questionnaire. We conclude that in an older population of community-dwelling subjects the numbers of undiagnosed cases of diabetes mellitus is lower than anticipated, based on large unselected population samples. The greater opportunity to interact with health care professionals who may consider screening for diabetes mellitus may explain these findings.
Collapse
Affiliation(s)
- N Pendleton
- Clinical Division 1, Faculty of Medicine, University of Manchester, Manchester, UK.
| | | | | | | | | | | | | | | |
Collapse
|
27
|
Pendleton N, Clague JE, Horan MA, Rabbitt PMA, Jones M, Coward R, Lowe C, McInnes L. Concordance of Cornell medical index self-reports to structured clinical assessment for the identification of physical health status. Arch Gerontol Geriatr 2004; 38:261-9. [PMID: 15066312 DOI: 10.1016/j.archger.2003.10.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2003] [Revised: 10/28/2003] [Accepted: 10/30/2003] [Indexed: 11/21/2022]
Abstract
Self-reported questionnaires are frequently used to assess health status in epidemiological studies. The Cornell medical index is one such tool used to determine the presence of physical and psychiatric illness but its accuracy and value have been questioned. In this study we have assessed the ability of the CMI to predict health status in two separate patient populations (n = 101, 88) by comparison to a structured medical assessment based on the SENIEUR protocol by two physicians. There was good agreement between medication use reported on the CMI and on medical assessment (k = 0.79; CI: 0.70-0.88). Accuracy of prediction of the CMI for specific medical conditions was good 89-99%. A threshold score from the CMI was not predictive of health as determined by the SENIEUR protocol. In our older populations, we conclude that the CMI accurately predicted health status. The determination of normal health by a threshold score was poorly predictive of heath status. Self-reported medication use was the best predictor of health status.
Collapse
Affiliation(s)
- Neil Pendleton
- Geriatric Medicine, University of Manchester, Salford, UK.
| | | | | | | | | | | | | | | |
Collapse
|
28
|
Ashcroft GS, Mills SJ, Lei K, Gibbons L, Jeong MJ, Taniguchi M, Burow M, Horan MA, Wahl SM, Nakayama T. Estrogen modulates cutaneous wound healing by downregulating macrophage migration inhibitory factor. J Clin Invest 2003; 111:1309-18. [PMID: 12727922 PMCID: PMC154440 DOI: 10.1172/jci16288] [Citation(s) in RCA: 211] [Impact Index Per Article: 10.0] [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: 01/12/2023] Open
Abstract
Characteristic of both chronic wounds and acute wounds that fail to heal are excessive leukocytosis and reduced matrix deposition. Estrogen is a major regulator of wound repair that can reverse age-related impaired wound healing in human and animal models, characterized by a dampened inflammatory response and increased matrix deposited at the wound site. Macrophage migration inhibitory factor (MIF) is a candidate proinflammatory cytokine involved in the hormonal regulation of inflammation. We demonstrate that MIF is upregulated in a distinct spatial and temporal pattern during wound healing and its expression is markedly elevated in wounds of estrogen-deficient mice as compared with intact animals. Wound-healing studies in mice rendered null for the MIF gene have demonstrated that in the absence of MIF, the excessive inflammation and delayed-healing phenotype associated with reduced estrogen is reversed. Moreover, in vitro assays have shown a striking estrogen-mediated decrease in MIF production by activated murine macrophages, a process involving the estrogen receptor. We suggest that estrogen inhibits the local inflammatory response by downregulating MIF, suggesting a specific target for future therapeutic intervention in impaired wound-healing states.
Collapse
Affiliation(s)
- Gillian S Ashcroft
- School of Biological Sciences, University of Manchester, Manchester, United Kingdom.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
29
|
Pendleton N, Payton A, van den Boogerd EH, Holland F, Diggle P, Rabbitt PMA, Horan MA, Worthington J, Ollier WER. Apolipoprotein E genotype does not predict decline in intelligence in healthy older adults. Neurosci Lett 2002; 324:74-6. [PMID: 11983298 DOI: 10.1016/s0304-3940(02)00135-0] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.7] [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: 11/25/2022]
Abstract
There is evidence of a genetic influence on the decline in cognitive performance of older adults, although the mechanisms responsible are unknown. A group of 767 subjects of the Manchester University Age and Cognitive Performance longitudinal study volunteer group, followed up from 1985 to the present, were genotyped for apolipoprotein E (APOE). The data from this were related to cross-sectional and longitudinal trends in the Heim intelligence test score (AH4-1) using previously reported random-effects models (Neuropsychologia 39 (2001) 532). There were no significant differences in mean scores for presence compared with absence of the APOE4 or APOE2 genotypes (P=0.48 and P=0.51, respectively). This research does not demonstrate a link between intelligence and APOE genotype in older adults.
Collapse
Affiliation(s)
- Neil Pendleton
- Clinical Gerontology Group, Clinical Division I, University of Manchester, Hope Hospital, Stott Lane, Salford, M6 8HD, UK.
| | | | | | | | | | | | | | | | | |
Collapse
|
30
|
Abstract
Many factors may contribute to the mortality and morbidity following hip fracture, including the provision of care. We wished to examine the contribution of potential factors to in-hospital mortality, length of hospital stay and 90-day mortality by statistical analyses of an audit database of all hip fractures admitted to a teaching hospital following the introduction of a fast track admission system. In-hospital mortality was predicted by ASA grade, the presence of any complications, cardiovascular complications, grade of surgeon, operation type and shorter admission time, a measure of time taken to admit a patient to a hospital bed (P<0.001). Length of hospital stay was predicted by increased age, presence of chronic cognitive impairment/dementia, presence of an implant complication, operation type, fracture type and longer admission time, r=0.455, P<0.001. Ninety-day mortality was predicted by the presence of chronic cognitive impairment/dementia, cardiovascular complications, pulmonary complications, ASA grade, grade of surgeon and admission day, P<0.001. Rapid admission following a hip fracture may not be the ideal management approach for all patient groups. Further study is required to identify factors in the process of care which are associated with better outcomes.
Collapse
Affiliation(s)
- John E Clague
- Clinical Division 1, University of Manchester, Manchester, UK
| | | | | | | | | |
Collapse
|
31
|
Abstract
OBJECTIVES Elderly women with proximal femur fracture show abnormal persistence of increased cortisol concentrations, which could contribute to the high morbidity associated with this injury. Two weeks after injury, the authors found substantially increased urinary free cortisol excretion, which usually reflects the integrated concentration of free (bioactive) cortisol in plasma. However, there was a proportionally smaller increase in cortisol production rate. The authors have now tested the hypothesis that this was caused by a decreased metabolic clearance rate (MCR) rather than increased renal clearance, because the latter but not the former would invalidate free cortisol excretion as an index. SETTING Orthopaedic wards in a teaching hospital. PATIENTS Thirteen women aged seventy-one to ninety-two years who had sustained a proximal femur fracture approximately two weeks earlier were compared with ten healthy women aged sixty-seven to eighty-three years. These subjects are similar to those in the authors' previous study. MAIN OUTCOME MEASUREMENTS The authors used single injections of [3H] cortisol to measure its MCR and estimated hepatic blood flow with indocyanine green. RESULTS The patients with hip fractures had higher plasma cortisol concentrations than did the healthy subjects, as expected. Cortisol MCR was approximately 20 percent lower in the patients, and estimated hepatic blood flow was approximately 35 percent lower in the patients. Analysis of covariance showed that the difference in MCR was the result of the small difference in age between the groups rather than to injury per se. CONCLUSIONS A lower cortisol MCR in the patients with hip fractures explains the authors' previous results and validates urinary free cortisol excretion as an index. The data suggest a roughly threefold mean increase in plasma cortisol bioactivity two weeks after hip fracture.
Collapse
Affiliation(s)
- R N Barton
- North Western Injury Research Centre, Stopford Building, University of Manchester, Oxford Road, Manchester M13 9PT, United Kingdom
| | | | | | | |
Collapse
|
32
|
van Hoeyweghen R, Hanson J, Stewart MJ, Dethune L, Davies I, Little RA, Horan MA, Kirkman E. Cardiovascular response to graded lower body negative pressure in young and elderly man. Exp Physiol 2001; 86:427-35. [PMID: 11429660 DOI: 10.1113/eph8602153] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.8] [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: 11/08/2022]
Abstract
Lower body negative pressure (LBNP) reduces central venous pressure (CVP) and cardiac output. The elderly are reported to have a limited capacity to increase cardiac output by increasing heart rate (HR), are especially dependent on end diastolic volume to maintain stroke volume and therefore should be especially vulnerable to LBNP. The present study compared the effects of LBNP in the young and old. Stroke volume was assessed non-invasively as stroke distance (SD) by aortovelography. Two groups of healthy male volunteers were studied: eight young (29.7 +/- 2.0 years, mean +/- S.E.M.) and nine old (70.1 +/- 0.9 years). LBNP was applied progressively at 17.5, 35 and 50 mmHg in 20 min steps, with measurements taken during each steady state. There were similar, significant, falls in CVP in both groups. SD fell significantly in both groups from respective control values of 24.8 +/- 1.6 and 16.6 +/- 0.9 cm to 12.5 +/- 1.3 and 8.9 +/- 0.4 cm at a LBNP of 50 mmHg. Although SD in the elderly was significantly lower than in the young, the LBNP-induced changes were not different between groups. Both groups produced similar significant increases in vascular resistance, HR, plasma vasopressin (AVP) and noradrenaline. Mean arterial blood pressure (MBP) and plasma adrenaline did not change significantly. Therefore healthy old men respond to LBNP in a similar manner to the young, although MBP and SD are regulated around different baselines in the two groups.
Collapse
Affiliation(s)
- R van Hoeyweghen
- Department of Geriatric Medicine, University of Manchester, Manchester, UK
| | | | | | | | | | | | | | | |
Collapse
|
33
|
Jefferson MF, Burlinson S, Burns A, Mann D, Pickering-Brown S, Owen F, Sriwardhana C, Pendleton N, Horan MA. Clinical features of dementia associated with apolipoprotein epsilon4: discrimination with a neural network genetic algorithm. Int J Geriatr Psychiatry 2001; 16:77-81. [PMID: 11180489 DOI: 10.1002/1099-1166(200101)16:1<77::aid-gps279>3.0.co;2-g] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [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: 11/06/2022]
Abstract
BACKGROUND It is unclear whether the APOE epsilon4 allele is associated with distinct clinical features in dementia. METHOD 100 cases meeting ICD criteria for dementia were interviewed using standardized instruments and genotyped for APOE. The presence of the epsilon4 allele was used by a genetic algorithm neural network (GANN) to discriminate symptoms and signs. RESULTS The GANN selected six features: gender, systolic blood pressure, absence of ankle tendon reflexes, history of weight loss, history of falls, and interviewer observed lability of mood. Using these features, a neural network discriminated cases according to epsilon4 highly accurately (area under receiver operating characteristic=0.83, sensitivity=0.78, specificity=0.78). CONCLUSIONS A GANN is able to discriminate a clinically distinct group of features among dementia patients who express the epsilon4 allele.
Collapse
Affiliation(s)
- M F Jefferson
- Department of Geriatric Medicine, University of Manchester, Clinical Sciences Building, Hope Hospital, Stott Lane, Salford, Manchester M6 8HD, UK
| | | | | | | | | | | | | | | | | |
Collapse
|
34
|
Abstract
OBJECTIVE To determine if hypocapnia occurs in patients with fear of falling and to explore potential causes of hypocapnia. DESIGN Observational study in patients who fall with and without fear of falling. SETTING Rehabilitation wards of an elderly care unit. PATIENTS Consecutive fallers with (n = 20) and without (n = 10) fear of falling. MAIN OUTCOME MEASURES End-tidal CO2 (PETCO2) and respiratory rate (RR) responses were measured during sustained isometric muscle contraction (SIMC) (40% of maximum voluntary contraction of quadriceps for 2 min) and during a 5-meter walk. Falls efficacy scale (FES) and Hospital anxiety and depression scale (HAD). RESULTS Patients with fear of falling had significantly higher FES and HAD scores (p < .01). During SIMC, baseline and nadir PETCO2 levels were significantly lower in patients with a fear of falling (p < .01). During the 5-meter walk, PETCO2 was lower at baseline, at nadir, and at the end of the walk in the fear of falling group than in controls (p < .01). RR was higher at nadir and end of the walk in the fear of falling group than in controls (p < .02). CONCLUSIONS Hypocapnia may occur in patients with a fear of falling during SIMC and walking. Anxiety seems to be the main cause, but muscle weakness may contribute. Breathing or relaxation techniques and reconditioning may have a role in treating fear of falling in the rehabilitation setting.
Collapse
Affiliation(s)
- J E Clague
- Geriatric Medicine, Clinical Division 1, University of Manchester, UK
| | | | | |
Collapse
|
35
|
O'Connell IP, Barton RN, Horan MA, Maycock PF. Disrupted cortisol-ACTH relationships in elderly women given corticotrophin-releasing hormone two weeks after proximal femur fracture. Clin Endocrinol (Oxf) 2000; 52:51-9. [PMID: 10651753 DOI: 10.1046/j.1365-2265.2000.00894.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [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: 11/20/2022]
Abstract
OBJECTIVE In elderly women with hip fractures plasma cortisol is persistently higher than in healthy elderly women, possibly causing undesirable catabolic effects. A lack of corresponding changes in plasma ACTH or in the cortisol response to exogenous ACTH has prompted us to study cortisol-ACTH relationships after giving corticotrophin-releasing hormone (CRH) to such subjects. SUBJECTS Seventeen women aged 70-90 years who had sustained a hip fracture about two weeks previously were compared with 19 healthy women aged 68-85 years. MEASUREMENTS 100 microg CRH was injected into each subject and ACTH and cortisol concentrations were measured at intervals for 90 minutes beforehand and 180 minutes afterwards. The concentrations of vasopressin and various cytokines and related peptides were also measured during the baseline period. RESULTS Under baseline conditions plasma cortisol was higher and plasma ACTH lower in the injured patients than in the healthy subjects. The patients showed smaller incremental ACTH and cortisol responses to CRF but because of the higher baseline value the peak cortisol concentration was enhanced. A strong correlation between the cortisol and ACTH responses in the healthy subjects was completely lost in the patients and the slope of the ACTH-cortisol dose-response relationship varied greatly between individuals, with no overall increase. The concentrations of vasopressin, interleukin-1 receptor antagonist and soluble tumour necrosis factor receptors were higher in the patients but did not correlate with the responses to CRH. CONCLUSIONS The results are not consistent with increased sensitivity to ACTH and suggest an independent stimulus to the adrenals of hip-fracture patients. Its identity is unknown as the non-ACTH stimuli proposed hitherto are reported to enhance sensitivity to ACTH.
Collapse
Affiliation(s)
- I P O'Connell
- North-western Injury Research Centre, University of Manchester, UK
| | | | | | | |
Collapse
|
36
|
|
37
|
Bath PA, Pendleton N, Morgan K, Clague JE, Horan MA, Lucas SB. New approach to risk determination: development of risk profile for new falls among community-dwelling older people by use of a Genetic Algorithm Neural Network (GANN). J Gerontol A Biol Sci Med Sci 2000; 55:M17-21. [PMID: 10719768 DOI: 10.1093/gerona/55.1.m17] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [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: 11/12/2022] Open
Abstract
BACKGROUND Falls risk in older people is multifactorial and complex. There is uncertainty about the importance of specific risk factors. Genetic algorithm neural networks (GANNs) can examine all available data and select the best nonlinear combination of variables for predicting falls. The aim of this work was to develop a risk profile for operationally defined new falls in a random sample of older people by use of a GANN approach. METHODS A random sample of 1042 community-dwelling people aged 65 and older, living in Nottingham, England, were interviewed at baseline (1985) and survivors reinterviewed at a 4-year follow-up (n = 690). The at-risk group (n = 435) was defined as those survivors who had not fallen in the year before the baseline interview. A GANN was used to examine all available attributes and, from these, to select the best nonlinear combination of variables that predicted those people who fell 4 years later. RESULTS The GANN selected a combination of 16 from a potential 253 variables and correctly predicted 35/114 new fallers (sensitivity = 31%; positive predictive value = 57%) and 295/321 nonfallers (specificity = 92%; negative predictive value = 79%); total correct = 76%. The variables selected by the GANN related to personal health, opportunity, and personal circumstances. CONCLUSIONS This study demonstrates the capacity of GANNs to examine all available data and then to identify the best 16 variables for predicting falls. The risk profile complements risk factors in the current literature identified by use of standard and conventional statistical methods. Additional data about environmental factors might enhance the sensitivity of the GANN approach and help identify those older people who are at risk of falling.
Collapse
Affiliation(s)
- P A Bath
- Sheffield Institute for Studies on Ageing, University of Sheffield, England.
| | | | | | | | | | | |
Collapse
|
38
|
Yates M, Horan MA, Clague JE, Gonsalkorale M, Chadwick PR, Pendleton N. A study of infection in elderly nursing/residential home and community-based residents. J Hosp Infect 1999; 43:123-9. [PMID: 10549312 DOI: 10.1053/jhin.1999.0739] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.4] [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: 11/11/2022]
Abstract
It is commonly believed that patients admitted to hospital from nursing homes/residential homes (NHRH) with infections are less likely to respond to treatment and have a higher fatality rate than counterparts admitted from their own homes ('the Community'). It is also believed that NHRH's harbour a reservoir of unusual and resistant organisms. These preconceptions may influence how these patients are managed. A database of 10593 sequential admissions to a Geriatric Medical unit over a three-year period was used to identify NHRH and community populations with a principal diagnosis of infection. They were investigated using the Department of Microbiology's database. The admission rate in the NHRH group was twice that of the community group. There were no significant differences in length of stay (LOS) [16 +/- 2 vs 17 +/- 2 days (s.e.m.)], or mean survival time (ST)(61 days (37-84) vs 48 days (25-72): 95% confidence intervals) between the two groups. Subgroups of the NHRH group did have significantly different survival times. Fatality rate was not significantly different between the NHRH (40%) or Community (35%) groups. Both the NHRH and community group underwent very similar levels of investigation (189 vs 200 investigations performed). The types and frequencies of pathogen seen in the two groups were very similar.
Collapse
Affiliation(s)
- M Yates
- University Department of Geriatric Medicine, Hope Hospital, Salford
| | | | | | | | | | | |
Collapse
|
39
|
Ashcroft GS, Greenwell-Wild T, Horan MA, Wahl SM, Ferguson MW. Topical estrogen accelerates cutaneous wound healing in aged humans associated with an altered inflammatory response. Am J Pathol 1999; 155:1137-46. [PMID: 10514397 PMCID: PMC1867002 DOI: 10.1016/s0002-9440(10)65217-0] [Citation(s) in RCA: 311] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The effects of intrinsic aging on the cutaneous wound healing process are profound, and the resulting acute and chronic wound morbidity imposes a substantial burden on health services. We have investigated the effects of topical estrogen on cutaneous wound healing in healthy elderly men and women, and related these effects to the inflammatory response and local elastase levels, an enzyme known to be up-regulated in impaired wound healing states. Eighteen health status-defined females (mean age, 74.4 years) and eighteen males (mean age, 70.7 years) were randomized in a double-blind study to either active estrogen patch or identical placebo patch attached for 24 hours to the upper inner arm, through which two 4-mm punch biopsies were made. The wounds were excised at either day 7 or day 80 post-wounding. Compared to placebo, estrogen treatment increased the extent of wound healing in both males and females with a decrease in wound size at day 7, increased collagen levels at both days 7 and 80, and increased day 7 fibronectin levels. In addition, estrogen enhanced the strength of day 80 wounds. Estrogen treatment was associated with a decrease in wound elastase levels secondary to reduced neutrophil numbers, and decreased fibronectin degradation. In vitro studies using isolated human neutrophils indicate that one mechanism underlying the altered inflammatory response involves both a direct inhibition of neutrophil chemotaxis by estrogen and an altered expression of neutrophil adhesion molecules. These data demonstrate that delays in wound healing in the elderly can be significantly diminished by topical estrogen in both male and female subjects.
Collapse
Affiliation(s)
- G S Ashcroft
- Oral Infection and Immunity Branch, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, Maryland 20892, USA.
| | | | | | | | | |
Collapse
|
40
|
Abstract
Capillarization of skeletal muscle has been reported to be both maintained and reduced with advancing age. This conflict may represent methodological differences between biopsy studies. We have examined capillarization throughout two muscles, soleus and extensor digitorum longus (EDL), from a well-established colony of aging mice, and related this to fiber number (C/F ratio) and type. Labeling of muscle capillaries was performed with the biotinylated Griffonia (Bandeiraea) simplicifolia lectin (GSL 1) using immunochemistry. The results showed a significant increase in the C/F ratio in the aged mice when compared with the younger (6-month mice soleus = 1.296, 95% CI 1.226-1.366 vs 28-month mice soleus = 1.530, 95% CI 1.488-1.572, p <.001; 6-month mice EDL = 0.881, 95% CI 0.751-1.011 vs 28-month mice EDL = 1.124, 95% CI 1.028-1.220, p = .017). These differences could not be accounted for by changes in fiber type but may reflect loss of fibers. Alternatively, there may be increased angiogenic drive or a failure of downregulation of angiogenesis.
Collapse
Affiliation(s)
- Y S Davidson
- Department of Geriatric Medicine, University of Manchester, United Kingdom
| | | | | | | |
Collapse
|
41
|
Abstract
The most common cause of anaemia in the elderly is anaemia of chronic disease (ACD). However, iron deficiency anaemia (IDA) may coexist, and can be difficult to diagnose. The serum transferrin receptor (sTfR) blood test may be a better indicator of iron status as it is not affected by inflammation nor by advancing age. We evaluated it in four groups (10 males, 10 females each): 'young' controls, 'elderly' controls, IDA and ACD. All patients in the IDA group had elevated sTfR levels (mean +/- SD 65.2 +/- 17.7 nmol/l). All 'young' controls had normal sTfR (22.3 +/- 7.3 nmol/l) and ferritin levels (92.7 +/- 61.1 micrograms/l). Although all subjects in the 'elderly' controls and ACD group had normal, and raised or normal serum ferritin, respectively (88 +/- 62.3 micrograms/l; 631.2 +/- 509.5 micrograms/l), three (15%) 'elderly' controls and four (20%) ACD patients had raised sTfR levels, suggesting depleted iron stores. Bone-marrow aspirates were available in 3/4 ACD patients with raised sTfR. Haemosiderin was absent in two. The sTfR blood test is comparable to serum ferritin in diagnosing IDA in the elderly but also seems capable of differentiating ACD from IDA. Its potential as a non-invasive test of iron status, especially in elderly anaemic patients, deserves further evaluation.
Collapse
Affiliation(s)
- E Chua
- Department of Geriatric Medicine, University Hospital, Aintree, Liverpool, UK
| | | | | | | | | |
Collapse
|
42
|
Horan MA. Lowering cholesterol. J R Coll Physicians Lond 1999; 33:483. [PMID: 10624672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
|
43
|
Petrie PJ, Sadiq Z, Clague JE, Horan MA. Readmission of patients discharged from emergency departments. Age Ageing 1999; 28:499-500. [PMID: 10529050 DOI: 10.1093/ageing/28.5.499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
44
|
Barton RN, Horan MA, Clague JE, Rose JG. The effect of aging on the metabolic clearance rate and distribution of cortisol in man. Arch Gerontol Geriatr 1999; 29:95-105. [PMID: 15374063 DOI: 10.1016/s0167-4943(99)00019-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/1999] [Revised: 05/10/1999] [Accepted: 05/12/1999] [Indexed: 10/16/2022]
Abstract
Previous studies of cortisol kinetics in old people have been flawed. All but one used a large dose of unlabelled cortisol, which will itself alter the kinetic parameters, and in none was metabolic clearance rate (MCR) calculated. We have, therefore, injected [(3)H]cortisol into men aged 20-38 and healthy (screened) men and women aged 63-83 years and followed its disappearance from the circulation for 3 h. In all three groups the disappearance curves corresponded closely to a double exponential, with half-lives of around 5 and 65 min. A two-pool model was assumed, one being purely a side-pool. The initial and total volumes of distribution and the MCR, but not the clearance rate for exchange between the two pools, tended to be lower in the elderly men than in the young; only the difference in total volume was significant. All these parameters were lower in the elderly women than in the elderly men. We conclude that any decline in cortisol MCR and related kinetic parameters with aging in men is small compared with variation from other sources. These parameters are lower in elderly women than men, in line with a reported sex difference in MCR in young subjects.
Collapse
Affiliation(s)
- R N Barton
- North Western Injury Research Centre, Stopford Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK
| | | | | | | |
Collapse
|
45
|
Abstract
Muscle wasting in older men may be related to androgen deficiency. We have assessed the effect of testosterone replacement therapy on muscle function in the upper and lower limbs of older (age > 60 years) men with blood testosterone levels < 14 nmol/L. Subjects (n = 7 per group) received testosterone enanthate 200 mg i.m. or placebo every 2 weeks in a double blind study over a 12-week period and underwent muscle testing every 4 weeks. A significant increase in blood levels of testosterone and a reduction in levels of sex hormone binding globulin occurred in the treatment group. Total body mass, haemoglobin and packed cell volume also increased significantly (p < 0.05). No improvements in handgrip strength, isometric strength of knee flexors and extensors or leg extensor power were seen in either group. Wide variability in all measures of muscle function were observed in these elderly men suggesting that very large study groups would be required to determine potential treatment benefits on muscle function.
Collapse
Affiliation(s)
- J E Clague
- Department of Geriatric Medicine, Manchester Royal Infirmary, UK
| | | | | |
Collapse
|
46
|
Abstract
BACKGROUND As more people survive into old age, a greater number are becoming eligible for dialysis treatment for end-stage renal failure. In the UK the elderly have previously been excluded from treatment programmes, and continuing financial constraints are unlikely to improve this situation. There are few data on the views of elderly subjects on renal replacement treatment. We have, therefore, explored the views of elderly subjects in this study. METHODS 50 subjects were selected from hospital geriatric wards and nursing homes. A short clinical vignette about a 75-year-old patient with renal failure was presented, and the subjects were asked to give their opinion on choices made by the patient to different treatment options. The subjects were then asked what choice they would make if in the same situation. They were asked what level of symptoms they would tolerate and for their views on cost and treatment allocation. Important contributors to quality of life were also determined for each subject using visual analogue scales. RESULTS 84% of the subjects would choose dialysis treatment, and 78% of all elderly would attend hospital as necessary, if their symptoms could be relieved. 54% of the in-patient elderly and 83.3% of nursing home elderly even when physically disabled and living in a nursing home would want dialysis for end-stage renal failure. 74% of all elderly preferred to have home dialysis treatment. Only 36% of the subjects thought cost was important when allocating dialysis to the elderly. Being independent and free from major symptoms was regarded as important for a good quality of life. CONCLUSIONS In this survey, elderly subjects wanted dialysis treatment. Neither age nor cost were considered important determinants for resource allocation. Symptom relief and maintaining independence were considered the main goals of treatment.
Collapse
Affiliation(s)
- S Ahmed
- University Department of Geriatric Medicine, Hope Hospital, Salford, UK
| | | | | | | | | | | |
Collapse
|
47
|
Bene J, Horan MA, Clague JE. Reproducibility of baroreflex sensitivity measured by a neck suction method. Clin Sci (Lond) 1999; 96:437. [PMID: 10087254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
|
48
|
Abstract
Interest in how victims of traumatic injuries recover is increasing and a number of observational studies have now been done. There are very few intervention studies aimed at enhancing recovery, but there will be more as our knowledge base grows. Older recipients of traumatic injuries differ from the young in the types of injuries they sustain, in the way they respond to their injuries and in the consequences of even relatively minor injuries on their future independence. In this paper, we summarise our understanding of recovery after injury and consider this in more depth for older people with specific injuries.
Collapse
Affiliation(s)
- M A Horan
- Department of Geriatric Medicine, Hope Hospital, Salford Royal Hospitals, NHS Trust, UK
| | | |
Collapse
|
49
|
Pendleton N, Pazouki S, Heerkens E, Smither RL, Chisholm DM, Moore JV, Howell A, Horan MA, Schor AM. Relationships between different measurements of vascularity and clinico-pathological parameters in breast cancer. Anticancer Res 1998; 18:4565-8. [PMID: 9891519] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Microvascular density has been put forward as an independent prognostic factor in breast cancer, with high levels indicating poorer prognosis. However, various studies have failed to confirm its prognostic value. The reasons for the contradictory results are not known, but it is believed that methodological differences are responsible. To test this hypothesis, we have used four different methods of assessing vascularity (average and highest microvascular density, microvascular volume and image analysis of vascular area) and related them to known prognostic factors in 51 cases of breast cancer NOS. All four methods showed a significant correlation with each other, with the exception of image analysis vs microvascular volume. The average microvascular density was significantly lower in p53 positive compared to negative tumours (median 38.4 and 66.2; IQR 31.1 and 49.4, respectively, p < 0.05). Vascularity, measured by the four methods, was not associated with nodal status or any other parameter examined.
Collapse
Affiliation(s)
- N Pendleton
- University Department of Geriatric Medicine, Hope Hospital, Salford, U.K
| | | | | | | | | | | | | | | | | |
Collapse
|
50
|
Jefferson MF, Pendleton N, Lucas CP, Lucas SB, Horan MA. Evolution of artificial neural network architecture: prediction of depression after mania. Methods Inf Med 1998; 37:220-5. [PMID: 9787620] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Artificial neural networks (ANNs) are compared to standard statistical methods for outcome prediction in biomedical problems. A general method for using genetic algorithms to "evolve" ANN architecture (EANN) is presented. Accuracy of logistic regression, a fully interconnected ANN, and an EANN for predicting depression after mania are examined. All methods showed very good agreement (training set accuracy, chi-square all p < 0.01). However, significant differences were found for stability (test set accuracy); logistic regression being the most unstable and EANN being significantly more stable than a fully interconnected ANN (McNemar p < 0.01). We conclude that the EANN method enhances ANN stability. This approach may have particular relevance for biomedical prediction problems, such as predicting depression after mania.
Collapse
Affiliation(s)
- M F Jefferson
- University of Manchester Department of Geriatric Medicine, Hope Hospital, Salford, UK.
| | | | | | | | | |
Collapse
|