TY - JOUR
T1 - Genetic insights into human cortical organization and development through genome-wide analyses of 2,347 neuroimaging phenotypes
AU - Warrier, Varun
AU - Stauffer, Eva-Maria
AU - Huang, Qin Qin
AU - Wigdor, Emilie M.
AU - Slob, Eric A. W.
AU - Seidlitz, Jakob
AU - Ronan, Lisa
AU - Valk, Sofie L.
AU - Mallard, Travis T.
AU - Grotzinger, Andrew D.
AU - Romero-Garcia, Rafael
AU - Baron-Cohen, Simon
AU - Geschwind, Daniel H.
AU - Lancaster, Madeline A.
AU - Murray, Graham K.
AU - Gandal, Michael J.
AU - Alexander-Bloch, Aaron
AU - Won, Hyejung
AU - Martin, Hilary C.
AU - Bullmore, Edward T.
AU - Bethlehem, Richard A. I.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2023/8/17
Y1 - 2023/8/17
N2 - Our understanding of the genetics of the human cerebral cortex is limited both in terms of the diversity and the anatomical granularity of brain structural phenotypes. Here we conducted a genome-wide association meta-analysis of 13 structural and diffusion magnetic resonance imaging-derived cortical phenotypes, measured globally and at 180 bilaterally averaged regions in 36,663 individuals and identified 4,349 experiment-wide significant loci. These phenotypes include cortical thickness, surface area, gray matter volume, measures of folding, neurite density and water diffusion. We identified four genetic latent structures and causal relationships between surface area and some measures of cortical folding. These latent structures partly relate to different underlying gene expression trajectories during development and are enriched for different cell types. We also identified differential enrichment for neurodevelopmental and constrained genes and demonstrate that common genetic variants associated with cortical expansion are associated with cephalic disorders. Finally, we identified complex interphenotype and inter-regional genetic relationships among the 13 phenotypes, reflecting the developmental differences among them. Together, these analyses identify distinct genetic organizational principles of the cortex and their correlates with neurodevelopment.
AB - Our understanding of the genetics of the human cerebral cortex is limited both in terms of the diversity and the anatomical granularity of brain structural phenotypes. Here we conducted a genome-wide association meta-analysis of 13 structural and diffusion magnetic resonance imaging-derived cortical phenotypes, measured globally and at 180 bilaterally averaged regions in 36,663 individuals and identified 4,349 experiment-wide significant loci. These phenotypes include cortical thickness, surface area, gray matter volume, measures of folding, neurite density and water diffusion. We identified four genetic latent structures and causal relationships between surface area and some measures of cortical folding. These latent structures partly relate to different underlying gene expression trajectories during development and are enriched for different cell types. We also identified differential enrichment for neurodevelopmental and constrained genes and demonstrate that common genetic variants associated with cortical expansion are associated with cephalic disorders. Finally, we identified complex interphenotype and inter-regional genetic relationships among the 13 phenotypes, reflecting the developmental differences among them. Together, these analyses identify distinct genetic organizational principles of the cortex and their correlates with neurodevelopment.
UR - https://www.scopus.com/pages/publications/85168332645
U2 - 10.1038/s41588-023-01475-y
DO - 10.1038/s41588-023-01475-y
M3 - Article
C2 - 37592024
SN - 1061-4036
VL - 55
SP - 1483
EP - 1493
JO - Nature Genetics
JF - Nature Genetics
IS - 9
ER -