DOCSLIB.ORG

Genome-Wide Meta-Analyses of Stratified Depression in Generation Scotland and UK Biobank', Translational Psychiatry, Vol

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Genome-Wide Meta-Analyses of Stratified Depression in Generation Scotland and UK Biobank', Translational Psychiatry, Vol Edinburgh Research Explorer Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank Citation for published version: Generation Scotland, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Porteous, D, Deary, I, Thomson, P, Haley, C & McIntosh, A 2018, 'Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank', Translational Psychiatry, vol. 8, 9. https://doi.org/10.1038/s41398-017-0034-1 Digital Object Identifier (DOI): 10.1038/s41398-017-0034-1 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Translational Psychiatry Publisher Rights Statement: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 07. Oct. 2021 Hall et al. Translational Psychiatry (2018) 8:9 DOI 10.1038/s41398-017-0034-1 Translational Psychiatry ARTICLE Open Access Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank Lynsey S. Hall 1,2,MarkJ.Adams 1, Aleix Arnau-Soler3, Toni-Kim Clarke1, David M. Howard 1, Yanni Zeng1,4, Gail Davies5,6, Saskia P. Hagenaars 1,5,6, Ana Maria Fernandez-Pujals1,JudeGibson 1,EleanorM.Wigmore1, Thibaud S. Boutin4, Caroline Hayward 4,7, Generation Scotland7, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, David J. Porteous 3,IanJ.Deary5,6,PippaA.Thomson 3,6, Chris S. Haley4 and Andrew M. McIntosh 1,6 Abstract Few replicable genetic associations for Major Depressive Disorder (MDD) have been identified. Recent studies of MDD have identified common risk variants by using a broader phenotype definition in very large samples, or by reducing phenotypic and ancestral heterogeneity. We sought to ascertain whether it is more informative to maximize the sample size using data from all available cases and controls, or to use a sex or recurrent stratified subset of affected individuals. To test this, we compared heritability estimates, genetic correlation with other traits, variance explained by MDD polygenic score, and variants identified by genome-wide meta-analysis for broad and narrow MDD classifications in two large British cohorts - Generation Scotland and UK Biobank. Genome-wide meta-analysis of MDD in males yielded one genome-wide significant locus on 3p22.3, with three genes in this region (CRTAP, GLB1, and TMPPE) 1234567890():,; 1234567890():,; demonstrating a significant association in gene-based tests. Meta-analyzed MDD, recurrent MDD and female MDD yielded equivalent heritability estimates, showed no detectable difference in association with polygenic scores, and were each genetically correlated with six health-correlated traits (neuroticism, depressive symptoms, subjective well- being, MDD, a cross-disorder phenotype and Bipolar Disorder). Whilst stratified GWAS analysis revealed a genome- wide significant locus for male MDD, the lack of independent replication, and the consistent pattern of results in other MDD classifications suggests that phenotypic stratification using recurrence or sex in currently available sample sizes is currently weakly justified. Based upon existing studies and our findings, the strategy of maximizing sample sizes is likely to provide the greater gain. Introduction recently, the largest international mega-analysis of clini- Major Depressive Disorder (MDD) is a frequently dis- cally diagnosed MDD (9240 MDD cases and 9519 con- abling, chronic disorder for which there is substantial trols) yielded no genome-wide significant findings2. Given evidence of a genetic contribution to its liability1. Until the success of similarly sized studies for other adult psy- chiatric disorders3,4, this study suggested that MDD is an extensively heterogeneous phenotype. This heterogeneity, Correspondence: Lynsey S Hall ([email protected]) 1Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, in addition to the relatively high prevalence and low EH10 5HF Edinburgh, UK heritability of MDD, impacts substantially on the statis- 2 Institute of Genetic Medicine, Newcastle University, NE1 7RU Newcastle upon tical power to detect genetic effects1,5. Possible means of Tyne, UK Full list of author information is available at the end of the article improving statistical power include stratifying the Members of Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium are listed above the References © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a linktotheCreativeCommons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Hall et al. Translational Psychiatry (2018) 8:9 Page 2 of 12 phenotype into potentially more homogeneous subtypes, previously validated by Smith et al17, in UKB (8248 cases, or considerably increasing the sample size whilst accept- 16,089 controls). Subsequent analyses stratified the phe- ing a broader phenotype. Both of these approaches have notype on the basis of recurrence or sex. Each approach since identified associations between genetic variants and was evaluated using several metrics: the successful iden- – MDD6 9. tification of variants reaching genome-wide significance in A genome-wide association study (GWAS) from the GWAS meta-analysis, an increased SNP-based heritability CONVERGE consortium identified two genome-wide estimate, identification of significant genetic correlations significant loci (chromosome 10q21.3 and 10q26.13) with other traits using LD score regression, and increased using a severe depressive phenotype (5053 cases and 5337 variance explained by polygenic profile scores for MDD controls) in female Han Chinese individuals, treated in a derived from three independent cohorts. These metrics hospital setting6. A subsequent study by the Psychiatric aim to test whether basic stratification of the MDD phe- Genomics Consortium (PGC) stratified the PGC MDD notype improves etiological insight. mega-analysis sample2 by age of onset and identified a risk conferring locus at chromosome 3q27.2 in individuals Materials and methods with onset after 27 years of age9. This study analyzed data from Generation Scotland: In contrast to the above study designs, two studies have The Scottish Family Health Study (GS:SFHS), (data utilized larger sample sizes with less detailed structured available on request: http://www.generationscotland.co. clinical assessments. The first of these studies came from uk) and UKB, (data available on request: http://www. the CHARGE consortium and employed a quantitative ukbiobank.ac.uk). GS:SFHS received ethical approval assessment of depressive symptoms using the Center for from the NHS Tayside Committee on Medical Research Epidemiological Studies Depression Scale. In a combined Ethics (REC Reference Number: 05/S1401/89). UK Bio- dataset of 51 258 individuals, a genome-wide significant bank received ethical approval from the Research Ethics locus was identified at chromosome 5q21.27. More Committee (REC Reference Number: 11/NW/0382). The recently, Hyde et al8 conducted a GWAS using 23andMe present analyses were conducted under UK Biobank data data of self-reported depression in 45,773 cases and application number 4844. All participants provided 106,354 controls, revealing 15 genome-wide significant informed consent. loci. The genetic correlation (rG) between the 23andMe depression phenotype and the clinical phenotype reported Data and code availability by the PGC was rG(SE) = 0.73(0.09), suggesting a strong Data are available
Load more

Recommended publications
  • The Genetic Landscape of Scotland and the Isles
    The genetic landscape of Scotland and the Isles Edmund Gilberta,b, Seamus O’Reillyc, Michael Merriganc, Darren McGettiganc, Veronique Vitartd, Peter K. Joshie, David W. Clarke, Harry Campbelle, Caroline Haywardd, Susan M. Ringf,g, Jean Goldingh, Stephanie Goodfellowi, Pau Navarrod, Shona M. Kerrd, Carmen Amadord, Archie Campbellj, Chris S. Haleyd,k, David J. Porteousj, Gianpiero L. Cavalleria,b,1, and James F. Wilsond,e,1,2 aSchool of Pharmacy and Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin D02 YN77, Ireland; bFutureNeuro Research Centre, Royal College of Surgeons in Ireland, Dublin D02 YN77, Ireland; cGenealogical Society of Ireland, Dún Laoghaire, Co. Dublin A96 AD76, Ireland; dMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, Scotland; eCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, Scotland; fBristol Bioresource Laboratories, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, United Kingdom; gMedical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, United Kingdom; hCentre for Academic Child Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1NU, United Kingdom; iPrivate address, Isle of Man IM7 2EA, Isle of Man; jCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University
    [Show full text]
  • Electronic Health Record and Genome-Wide Genetic Data In
    Wellcome Open Research 2017, 2:85 Last updated: 16 OCT 2017 DATA NOTE Electronic health record and genome-wide genetic data in Generation Scotland participants [version 1; referees: 2 approved, 1 approved with reservations] Shona M. Kerr 1, Archie Campbell 2, Jonathan Marten 1, Veronique Vitart 1, Andrew M McIntosh 3,4, David J. Porteous 2,5, Caroline Hayward 1 1MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK 2Generation Scotland, Centre for Genomic and Experimental Medicine, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK 3Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK 4Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK 5Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK v1 First published: 18 Sep 2017, 2:85 (doi: 10.12688/wellcomeopenres.12600.1) Open Peer Review Latest published: 18 Sep 2017, 2:85 (doi: 10.12688/wellcomeopenres.12600.1) Referee Status: Abstract This article provides the first detailed demonstration of the research value of the Electronic Health Record (EHR) linked to research data in Generation Scotland Invited Referees Scottish Family Health Study (GS:SFHS) participants, together with how to 1 2 3 access this data. The structured, coded variables in the routine biochemistry, prescribing and morbidity records, in particular, represent highly valuable version 1 phenotypic data for a genomics research resource. Access to a wealth of other published report report report specialized datasets, including cancer, mental health and maternity inpatient 18 Sep 2017 information, is also possible through the same straightforward and transparent application process.
    [Show full text]
  • Genome-Wide Haplotype-Based Association Analysis of Major Depressive Disorder in Generation Scotland and UK Biobank David M
    Howard et al. Translational Psychiatry (2017) 7:1263 DOI 10.1038/s41398-017-0010-9 Translational Psychiatry ARTICLE Open Access Genome-wide haplotype-based association analysis of major depressive disorder in Generation Scotland and UK Biobank David M. Howard 1,LynseyS.Hall1, Jonathan D. Hafferty1, Yanni Zeng1,2,MarkJ.Adams 1, Toni-Kim Clarke1, David J. Porteous 3,RekaNagy2, Caroline Hayward 2,4, Blair H. Smith 4,5, Alison D. Murray4,6,NiamhM.Ryan3, Kathryn L. Evans3,7, Chris S. Haley 2, Ian J. Deary4,7,8, Pippa A. Thomson 3,7 and Andrew M. McIntosh 1,4,7 Abstract Genome-wide association studies using genotype data have had limited success in the identification of variants associated with major depressive disorder (MDD). Haplotype data provide an alternative method for detecting associations between variants in weak linkage disequilibrium with genotyped variants and a given trait of interest. A genome-wide haplotype association study for MDD was undertaken utilising a family-based population cohort, Generation Scotland: Scottish Family Health Study (n = 18,773), as a discovery cohort with UK Biobank used as a population-based replication cohort (n = 25,035). Fine mapping of haplotype boundaries was used to account for overlapping haplotypes potentially tagging the same causal variant. Within the discovery cohort, two haplotypes exceeded genome-wide significance (P <5×10−8) for an association with MDD. One of these haplotypes was nominally significant in the replication cohort (P < 0.05) and was located in 6q21, a region which has been previously associated with bipolar disorder, a psychiatric disorder that is phenotypically and genetically correlated with MDD.
    [Show full text]
  • Generation Scotland Participant Survey on Data Collection [Version 1; Peer Review: 1 Approved, 1 Approved with Reservations]
    Wellcome Open Research 2019, 4:111 Last updated: 28 APR 2021 RESEARCH ARTICLE Generation Scotland participant survey on data collection [version 1; peer review: 1 approved, 1 approved with reservations] Rachel Edwards 1,2, Archie Campbell 1,3, David Porteous 1 1Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, City of Edinburgh, EH4 2XU, UK 2MRC Human Genetics Unit, University of Edinburgh, Edinburgh, City of Edinburgh, EH4 2XU, UK 3Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, City of Edinburgh, EH4 2XU, UK v1 First published: 25 Jul 2019, 4:111 Open Peer Review https://doi.org/10.12688/wellcomeopenres.15354.1 Latest published: 13 Dec 2019, 4:111 https://doi.org/10.12688/wellcomeopenres.15354.2 Reviewer Status Invited Reviewers Abstract Background: Generation Scotland (GS) is a population and family- 1 2 based study of genetic and environmental health determinants. Recruitment to the Scottish Family Health Study component of GS version 2 took place between 2006-2011. Participants were aged 18 or over and (revision) report consented to genetic studies, linkage to health records and recontact. 13 Dec 2019 Several recontact exercises have been successfully conducted aimed at a) recruitment to embedded or partner studies and b) the collection version 1 of additional data. As the cohort matures in age, we were interested in 25 Jul 2019 report report surveying attitudes to potential new approaches to data collection and recruitment. Methods: A ten-question online survey was sent to those participants 1. Elaine Douglas , University of Stirling, who provided an email address. Stirling, UK Results: We report a high level of positive responses to encouraging relatives to participate, to remote data and sample collection and for 2.
    [Show full text]
  • Biobanks in Europe: Prospects for Harmonisation and Networking
    Biobanks in Europe: Prospects for Harmonisation and Networking Eleni Zika, Daniele Paci, Tobias Schulte in den Bäumen, Anette Braun, Sylvie RijKers- Defrasne, Mylène Deschênes, Isabel Fortier, Jens Laage-Hellman, Christian A. Scerri, Dolores Ibarreta EUR 24361 EN - 2010 The mission of the JRC-IPTS is to provide customer-driven support to the EU policy-making process by developing science-based responses to policy challenges that have both a socio- economic as well as a scientific/technological dimension. European Commission Joint Research Centre Institute for Prospective Technological Studies Contact information Address: Edificio Expo. c/ Inca Garcilaso, 3. E-41092 Seville (Spain) E-mail: [email protected] Tel.: +34 954488318 Fax: +34 954488300 http://ipts.jrc.ec.europa.eu http://www.jrc.ec.europa.eu Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed. A great deal of additional information on the European Union is available on the Internet. It can be accessed through the Europa server http://europa.eu/ JRC57831 EUR 24361 EN ISBN 978-92-79-15783-7 ISSN 1018-5593 DOI 10.2791/41701 Luxembourg: Publications Office of the European Union © European Union, 2010 Reproduction is authorised provided the source is acknowledged Printed in Spain Reviewers Jane Kaye (University of Oxford, UK) Thorkild I.A.
    [Show full text]
  • Balancing the Local and the Universal in Maintaining Ethical Access to a Genomics Biobank Catherine Heeney1* and Shona M
    Heeney and Kerr BMC Medical Ethics (2017) 18:80 DOI 10.1186/s12910-017-0240-7 RESEARCH ARTICLE Open Access Balancing the local and the universal in maintaining ethical access to a genomics biobank Catherine Heeney1* and Shona M. Kerr2 Abstract Background: Issues of balancing data accessibility with ethical considerations and governance of a genomics research biobank, Generation Scotland, are explored within the evolving policy landscape of the past ten years. During this time data sharing and open data access have become increasingly important topics in biomedical research. Decisions around data access are influenced by local arrangements for governance and practices such as linkage to health records, and the global through policies for biobanking and the sharing of data with large-scale biomedical research data resources and consortia. Methods: We use a literature review of policy relevant documents which apply to the conduct of biobanks in two areas: support for open access and the protection of data subjects and researchers managing a bioresource. We present examples of decision making within a biobank based upon observations of the Generation Scotland Access Committee. We reflect upon how the drive towards open access raises ethical dilemmas for established biorepositories containing data and samples from human subjects. Results: Despite much discussion in science policy literature about standardisation, the contextual aspects of biobanking are often overlooked. Using our engagement with GS we demonstrate the importance of local arrangements in the creation of a responsive ethical approach to biorepository governance. We argue that governance decisions regarding access to the biobank are intertwined with considerations about maintenance and viability at the local level.
    [Show full text]
  • Downloaded Single Tissue Cis-Eqtl Data from the Gtex Portal, Data Set V8
    medRxiv preprint doi: https://doi.org/10.1101/2020.09.04.20187401; this version posted September 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Using human genetics to understand the causes and consequences of circulating cardiac troponin I in the general population Marta R Moksnes,1,28* Helge Røsjø,2,3,28 Anne Richmond,4,28 Magnus N Lyngbakken,3,5 Sarah E Graham,6 Ailin Falkmo Hansen,1 Brooke N Wolford,7 Sarah A Gagliano Taliun,8,9,10,11 Jonathon LeFaive,10,11 Humaira Rasheed,1,12 Laurent F Thomas,1,13,14,15 Wei Zhou,7,16,17,18 Ida Surakka,6 Nicholas J Douville,19 Archie Campbell,20 David J Porteous,20 Paul Welsh,21 Naveed Sattar,21 George Davey Smith,12 Lars G Fritsche,10,11 Jonas B Nielsen,1,6,22,23 Bjørn Olav Åsvold,1,24,25 Kristian Hveem,1,24 Caroline Hayward,4,29 Cristen J Willer,1,6,7,26,29 Ben M Brumpton,1,10,27,29** Torbjørn Omland.2,3,5,29 1 K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway 2 Division of Research and Innovation, Akershus University Hospital, Lørenskog, Norway 3 Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway 4 MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK 5 Department of Cardiology, Division of Medicine, Akershus
    [Show full text]
  • A Study Into the Recovery of Heat from Power Generation in Scotland
    A study into the recovery of heat from power generation in Scotland Report to the Scottish Government A study into the recovery of heat from power generation in Scotland Title A study into the recovery of heat from power generation in Scotland Customer The Scottish Government Customer reference Confidentiality, Copyright Scottish Government. copyright and reproduction File reference ED56538 Reference number ED56538- Final Report Issue 1 AEA Group Colin McNaught AEA, Glengarnock Technology Centre Caledonian Road Lochshore Business Park Glengarnock KA14 3DD t: 0870 190 6191 f: 0870 190 5151 e. [email protected] AEA is a business name of AEA Technology plc AEA is certificated to ISO9001 and ISO14001 Author Name Colin McNaught, Evan Williams, Jeremy Stambaugh, Ben Kiff Approved by Name Mahmoud Abu-ebid Signature Date 5 September 2011 AEA A study into the recovery of heat from power generation in Scotland Executive Summary Overview This research project commissioned by the Scottish Government and delivered by AEA, develops an analysis of the financial and technical potential for recovering heat from large scale power stations in Scotland to provide heating through local district heat networks. The study examines the potential for recovery of heat from four sites used for large scale fossil fuel power generation: • Longannet; • Cockenzie; • Hunterston; and • Peterhead. This study then examines the policies that could help make heat recovery a financially viable option. Heat Supply and Demand The study considers how four new power stations at each of these sites could provide heat to anchor heat loads within an initial catchment area of 30 km around each site.
    [Show full text]
  • Exploration of Haplotype Research Consortium Imputation for Genome
    University of Dundee Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants Nagy, Reka; Boutin, Thibaud S.; Marten, Jonathan; Huffman, Jennifer E.; Kerr, Shona M.; Campbell, Archie Published in: Genome Medicine DOI: 10.1186/s13073-017-0414-4 Publication date: 2017 Licence: CC BY Document Version Publisher's PDF, also known as Version of record Link to publication in Discovery Research Portal Citation for published version (APA): Nagy, R., Boutin, T. S., Marten, J., Huffman, J. E., Kerr, S. M., Campbell, A., Evenden, L., Gibson, J., Amador, C., Howard, D. M., Navarro, P., Morris, A., Deary, I. J., Hocking, L. J., Padmanabhan, S., Smith, B. H., Joshi, P., Wilson, J. F., Hastie, N. D., ... Hayward, C. (2017). Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants. Genome Medicine, 9, 1-14. [23]. https://doi.org/10.1186/s13073-017-0414-4 General rights Copyright and moral rights for the publications made accessible in Discovery Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from Discovery Research Portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain. • You may freely distribute the URL identifying the publication in the public portal. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.
    [Show full text]
  • Generation Scotland Management, Access and Publications Policy Table of Contents
    Generation Scotland Management, Access and Publications Policy Table of Contents 1.0 Introduction ................................................................................................ 2 1.1 Aim and Purpose of Generation Scotland ..................................................... 2 1.2 Glossary of Terms ........................................................................................ 2 1.3 Summary of Generation Scotland Resource................................................. 2 2.0 Management of Generation Scotland ........................................................ 2 2.1 The Scientific Committee of Generation Scotland......................................... 2 2.2 Generation Scotland Executive Group .......................................................... 3 2.3 Access Committee ....................................................................................... 3 2.4 Expert Working Groups ................................................................................ 3 2.5 Generation Scotland Advisory Board ............................................................ 3 3.0 Collaboration – General Issues .................................................................. 4 3.1 The Resource ............................................................................................... 4 3.2 Access to NHS data ..................................................................................... 4 3.3 Analysis of existing data ............................................................................... 5
    [Show full text]
  • Electronic Health Record and Genome-Wide Genetic Data In
    Wellcome Open Research 2017, 2:85 Last updated: 28 JUN 2021 DATA NOTE Electronic health record and genome-wide genetic data in Generation Scotland participants [version 1; peer review: 2 approved, 1 approved with reservations] Shona M. Kerr 1, Archie Campbell 2, Jonathan Marten 1, Veronique Vitart 1, Andrew M. McIntosh 3,4, David J. Porteous 2,5, Caroline Hayward 1 1MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK 2Generation Scotland, Centre for Genomic and Experimental Medicine, University of Edinburgh, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK 3Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK 4Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK 5Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK v1 First published: 18 Sep 2017, 2:85 Open Peer Review https://doi.org/10.12688/wellcomeopenres.12600.1 Latest published: 18 Sep 2017, 2:85 https://doi.org/10.12688/wellcomeopenres.12600.1 Reviewer Status Invited Reviewers Abstract This article provides the first detailed demonstration of the research 1 2 3 value of the Electronic Health Record (EHR) linked to research data in Generation Scotland Scottish Family Health Study (GS:SFHS) version 1 participants, together with how to access this data. The structured, 18 Sep 2017 report report report coded variables in the routine biochemistry, prescribing and morbidity records, in particular, represent highly valuable phenotypic data for a 1.
    [Show full text]
  • Regional Variation in Health Is Predominantly Driven by Lifestyle Rather Than Genetics
    ARTICLE DOI: 10.1038/s41467-017-00497-5 OPEN Regional variation in health is predominantly driven by lifestyle rather than genetics Carmen Amador 1, Charley Xia1, Réka Nagy1, Archie Campbell 2,3, David Porteous2,3, Blair H. Smith 3,4, Nick Hastie1, Veronique Vitart1, Caroline Hayward 1, Pau Navarro 1 & Chris S. Haley1,5 Regional differences in health-related phenotypes have been detected between and within countries. In Scotland, regions differ for a variety of health-related traits and display differences in mean lifespan of up to 7.5 years. Both genetics and lifestyle differences are potential causes of this variation. Using data on obesity-related traits of ~11,000 Scottish individuals with genome-wide genetic information and records of lifestyle and socioeconomic factors, we explored causes of regional variation by using models that incorporate genetic and environmental information jointly. We found that variation between individuals within regions showed substantial influence of both genetic variation and family environment. Regional variation for most obesity traits was associated with lifestyle and socioeconomic variables, such as smoking, diet and deprivation which are potentially modifiable. There was limited evidence that regional differences were of genetic origin. This has important implications for healthcare policies, suggesting that inequalities can be tackled with appropriate social and economic interventions. 1 MRC Human Genetics Unit, Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK. 2 Centre for Genomic and Experimental Medicine, Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK. 3 Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetic and Experimental Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
    [Show full text]