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Genetic map of regional sulcal morphology in the human brain from UK biobank data

Authors :
Sun, Benjamin B
Loomis, Stephanie J
Pizzagalli, Fabrizio
Shatokhina, Natalia
Painter, Jodie N
Foley, Christopher N
Biogen Biobank Team
Jensen, Megan E
McLaren, Donald G
Chintapalli, Sai Spandana
Zhu, Alyssa H
Dixon, Daniel
Islam, Tasfiya
Ba Gari, Iyad
Runz, Heiko
Medland, Sarah E
Thompson, Paul M
Jahanshad, Neda
Whelan, Christopher D
Sun, Benjamin B [0000-0001-6347-2281]
Painter, Jodie N [0000-0002-4992-2458]
Foley, Christopher N [0000-0002-0970-2610]
Ba Gari, Iyad [0000-0003-1443-8786]
Runz, Heiko [0000-0002-2133-7345]
Medland, Sarah E [0000-0003-1382-380X]
Whelan, Christopher D [0000-0003-0308-5583]
Apollo - University of Cambridge Repository
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

Genetic associations with macroscopic brain structure can provide insights into brain function and disease. However, specific associations with measures of local brain folding are largely under-explored. Here, we conducted large-scale genome- and exome-wide associations of regional cortical sulcal measures derived from magnetic resonance imaging scans of 40,169 individuals in UK Biobank. We discovered 388 regional brain folding associations across 77 genetic loci, with genes in associated loci enriched for expression in the cerebral cortex, neuronal development processes, and differential regulation during early brain development. We integrated brain eQTLs to refine genes for various loci, implicated several genes involved in neurodevelopmental disorders, and highlighted global genetic correlations with neuropsychiatric phenotypes. We provide an interactive 3D visualisation of our summary associations, emphasising added resolution of regional analyses. Our results offer new insights into the genetic architecture of brain folding and provide a resource for future studies of sulcal morphology in health and disease.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....fcf35cb5d25ee86c403402d7732a1a3f
Full Text :
https://doi.org/10.17863/cam.90785