| Literature DB >> 35393594 |
Bingxin Zhao1, Tengfei Li2,3, Stephen M Smith4, Di Xiong5, Xifeng Wang5, Yue Yang5, Tianyou Luo5, Ziliang Zhu5, Yue Shan5, Nana Matoba6,7, Quan Sun5, Yuchen Yang6, Mads E Hauberg8,9,10,11, Jaroslav Bendl8,9,12, John F Fullard8,9,12, Panagiotis Roussos8,9,10,12,13, Weili Lin3,4, Yun Li5,6,14, Jason L Stein6,7, Hongtu Zhu15,16,17.
Abstract
The human brain forms functional networks of correlated activity, which have been linked with both cognitive and clinical outcomes. However, the genetic variants affecting brain function are largely unknown. Here, we used resting-state functional magnetic resonance images from 47,276 individuals to discover and validate common genetic variants influencing intrinsic brain activity. We identified 45 new genetic regions associated with brain functional signatures (P < 2.8 × 10-11), including associations to the central executive, default mode, and salience networks involved in the triple-network model of psychopathology. A number of brain activity-associated loci colocalized with brain disorders (e.g., the APOE ε4 locus with Alzheimer's disease). Variation in brain function was genetically correlated with brain disorders, such as major depressive disorder and schizophrenia. Together, our study provides a step forward in understanding the genetic architecture of brain functional networks and their genetic links to brain-related complex traits and disorders.Entities:
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Year: 2022 PMID: 35393594 DOI: 10.1038/s41588-022-01039-6
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330