E
Eleanor M. Wigmore
Researcher at University of Edinburgh
Publications - 25
Citations - 2321
Eleanor M. Wigmore is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Major depressive disorder & Genome-wide association study. The author has an hindex of 13, co-authored 23 publications receiving 1353 citations. Previous affiliations of Eleanor M. Wigmore include Royal Edinburgh Hospital & AstraZeneca.
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Journal ArticleDOI
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions
David M. Howard,Mark Adams,Toni-Kim Clarke,Jonathan D. Hafferty,Jude Gibson,Masoud Shirali,Jonathan R. I. Coleman,Jonathan R. I. Coleman,Saskia P. Hagenaars,Saskia P. Hagenaars,Joey Ward,Eleanor M. Wigmore,Clara Alloza,Xueyi Shen,Miruna C. Barbu,Eileen Y. Xu,Heather C. Whalley,Riccardo E. Marioni,David J. Porteous,Gail Davies,Ian J. Deary,Gibran Hemani,Klaus Berger,Henning Teismann,Rajesh Rawal,Volker Arolt,Bernhard T. Baune,Udo Dannlowski,Katharina Domschke,Chao Tian,David A. Hinds,Maciej Trzaskowski,Enda M. Byrne,Stephan Ripke,Stephan Ripke,Stephan Ripke,Daniel J. Smith,Patrick F. Sullivan,Patrick F. Sullivan,Naomi R. Wray,Gerome Breen,Gerome Breen,Cathryn M. Lewis,Cathryn M. Lewis,Andrew M. McIntosh,Andrew M. McIntosh +45 more
TL;DR: A genetic meta-analysis of depression found 269 associated genes that highlight several potential drug repositioning opportunities, and relationships with depression were found for neuroticism and smoking.
Journal ArticleDOI
Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways
David M. Howard,Mark Adams,Masoud Shirali,Toni-Kim Clarke,Riccardo E. Marioni,Gail Davies,Jonathan R. I. Coleman,Jonathan R. I. Coleman,Clara Alloza,Xueyi Shen,Miruna C. Barbu,Eleanor M. Wigmore,Jude Gibson,Saskia P. Hagenaars,Saskia P. Hagenaars,Cathryn M. Lewis,Cathryn M. Lewis,Joey Ward,Daniel J. Smith,Patrick Sullivan,Patrick Sullivan,Chris Haley,Gerome Breen,Gerome Breen,Ian J. Deary,Andrew M. McIntosh +25 more
TL;DR: It is suggested that broad depression is the most tractable UK Biobank phenotype for discovering genes and gene sets that further the understanding of the biological pathways underlying depression.
Journal ArticleDOI
Association of polygenic risk for major psychiatric illness with subcortical volumes and white matter integrity in UK Biobank
Lianne M. Reus,Xueyi Shen,Jude Gibson,Eleanor M. Wigmore,Lannie Ligthart,Mark Adams,Gail Davies,Simon R. Cox,Saskia P. Hagenaars,Saskia P. Hagenaars,Mark E. Bastin,Ian J. Deary,Heather C. Whalley,Andrew M. McIntosh,Andrew M. McIntosh +14 more
TL;DR: It is suggested that subcortical brain volumes and WM microstructure may not be closely linked to the genetic mechanisms of major psychiatric disorders, and polygenic risk for MDD, SCZ or BP is not identified.
Journal ArticleDOI
Genetic and Environmental Risk for Chronic Pain and the Contribution of Risk Variants for Major Depressive Disorder: A Family-Based Mixed-Model Analysis
Andrew M. McIntosh,Andrew M. McIntosh,Lynsey S. Hall,Yanni Zeng,Mark Adams,Jude Gibson,Eleanor M. Wigmore,Saskia P. Hagenaars,Gail Davies,Ana Maria Fernandez-Pujals,Archie Campbell,Toni-Kim Clarke,Caroline Hayward,Chris Haley,David J. Porteous,David J. Porteous,Ian J. Deary,Daniel J. Smith,Barbara I. Nicholl,David A. Hinds,Amy V. Jones,Serena Scollen,Weihua Meng,Blair H. Smith,Lynne J. Hocking +24 more
TL;DR: Genetic factors, as well as chronic pain in a partner or spouse, contribute substantially to the risk of chronic pain for an individual and data from two independent genome-wide association studies confirmed that chronic pain is a moderately heritable trait.
Journal ArticleDOI
Impact of Polygenic Risk for Schizophrenia on Cortical Structure in UK Biobank.
Emma Neilson,Xueyi Shen,Simon R. Cox,Toni-Kim Clarke,Eleanor M. Wigmore,Jude Gibson,David M. Howard,Mark Adams,Harris Ma,Gail Davies,Ian J. Deary,Heather C. Whalley,Andrew M. McIntosh,Stephen M. Lawrie +13 more
TL;DR: Results suggest that individual differences in CT are partly influenced by genetic variants and are most likely not due to factors downstream of disease onset, and may help to elucidate the genetic pathophysiology of schizophrenia.