Ten years of enhancing neuro‐imaging genetics through meta‐analysis: An overview from the ENIGMA Genetics Working Group. Issue 1 (10th December 2020)
- Record Type:
- Journal Article
- Title:
- Ten years of enhancing neuro‐imaging genetics through meta‐analysis: An overview from the ENIGMA Genetics Working Group. Issue 1 (10th December 2020)
- Main Title:
- Ten years of enhancing neuro‐imaging genetics through meta‐analysis: An overview from the ENIGMA Genetics Working Group
- Authors:
- Medland, Sarah E.
Grasby, Katrina L.
Jahanshad, Neda
Painter, Jodie N.
Colodro‐Conde, Lucía
Bralten, Janita
Hibar, Derrek P.
Lind, Penelope A.
Pizzagalli, Fabrizio
Thomopoulos, Sophia I.
Stein, Jason L.
Franke, Barbara
Martin, Nicholas G.
Thompson, Paul M. - Other Names:
- Thompson P.M. guestEditor.
Jahanshad N. guestEditor.
Schmaal L. guestEditor.
Turner J.A. guestEditor.
Winkler A. guestEditor.
Thomopoulos S.I. guestEditor.
Egan G.F. guestEditor.
Kochunov P. guestEditor. - Abstract:
- Abstract: Here we review the motivation for creating the enhancing neuroimaging genetics through meta‐analysis (ENIGMA) Consortium and the genetic analyses undertaken by the consortium so far. We discuss the methodological challenges, findings, and future directions of the genetics working group. A major goal of the working group is tackling the reproducibility crisis affecting "candidate gene" and genome‐wide association analyses in neuroimaging. To address this, we developed harmonized analytic methods, and support their use in coordinated analyses across sites worldwide, which also makes it possible to understand heterogeneity in results across sites. These efforts have resulted in the identification of hundreds of common genomic loci robustly associated with brain structure. We have found both pleiotropic and specific genetic effects associated with brain structures, as well as genetic correlations with psychiatric and neurological diseases. Abstract : Improvement in the polygenic score prediction of hippocampal volume, as power in the discovery GWAS increases. PRS may be thought of as weighted‐sum scores that summarize the results of the GWAS to a given level of significance, these results show the increased explanatory power of the GWAS for hipocampal volume as sample size increases.
- Is Part Of:
- Human brain mapping. Volume 43:Issue 1(2022)
- Journal:
- Human brain mapping
- Issue:
- Volume 43:Issue 1(2022)
- Issue Display:
- Volume 43, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 43
- Issue:
- 1
- Issue Sort Value:
- 2022-0043-0001-0000
- Page Start:
- 292
- Page End:
- 299
- Publication Date:
- 2020-12-10
- Subjects:
- GWAS -- MRI -- neuro‐imaging genetics
Brain mapping -- Periodicals
611.81 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0193 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/hbm.25311 ↗
- Languages:
- English
- ISSNs:
- 1065-9471
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4336.031000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 23805.xml