Open AccessTen years of enhancing neuro‐imaging genetics through meta‐analysis : An overview from the ENIGMA Genetics Working Group
Author(s) -
Medland Sarah E.,
Grasby Katrina L.,
Jahanshad Neda,
Painter Jodie N.,
ColodroConde 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.
Publication year - 2022
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.25311
Subject(s) - imaging genetics , neuroimaging , identification (biology) , genome wide association study , genetics , biology , neuroscience , meta analysis , statistical genetics , psychology , computational biology , genetic association , genomics , genome , gene , medicine , genotype , single nucleotide polymorphism , botany
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.