Ten years of enhancing neuro‐imaging genetics through meta‐analysis : An overview from the ENIGMA Genetics Working Group
Year: 2020
Type: review
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.
Source: Human Brain Mapping
DOI: 10.1002/hbm.25311
Institutions: The University of Queensland, QIMR Berghofer Medical Research Institute, University of Southern California, Queensland University of Technology, Universidad de Murcia, Radboud University Nijmegen, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Genentech, University of North Carolina at Chapel Hill
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,200
Awards: G1729227532, Advancing our understanding of the genetics of Psychiatric and Neurological Disease, G3377182240, G3683196193, Advancing our understanding of Psychiatric Disorders through Imaging and Genetics, ENIGMA Center for Worldwide Medicine, Imaging & Genomics, Using Statistical Genetics to Elucidate the Effects of Disease Associated Genetic Variants within the Human Brain, G9000210308
OpenAlex ID: W3111546647