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The molecular genetic landscape of human brain size variation.

Authors :
Seidlitz J
Mallard TT
Vogel JW
Lee YH
Warrier V
Ball G
Hansson O
Hernandez LM
Mandal AS
Wagstyl K
Lombardo MV
Courchesne E
Glessner JT
Satterthwaite TD
Bethlehem RAI
Bernstock JD
Tasaki S
Ng B
Gaiteri C
Smoller JW
Ge T
Gur RE
Gandal MJ
Alexander-Bloch AF
Source :
Cell reports [Cell Rep] 2023 Nov 28; Vol. 42 (11), pp. 113439. Date of Electronic Publication: 2023 Nov 14.
Publication Year :
2023

Abstract

Human brain size changes dynamically through early development, peaks in adolescence, and varies up to 2-fold among adults. However, the molecular genetic underpinnings of interindividual variation in brain size remain unknown. Here, we leveraged postmortem brain RNA sequencing and measurements of brain weight (BW) in 2,531 individuals across three independent datasets to identify 928 genome-wide significant associations with BW. Genes associated with higher or lower BW showed distinct neurodevelopmental trajectories and spatial patterns that mapped onto functional and cellular axes of brain organization. Expression of BW genes was predictive of interspecies differences in brain size, and bioinformatic annotation revealed enrichment for neurogenesis and cell-cell communication. Genome-wide, transcriptome-wide, and phenome-wide association analyses linked BW gene sets to neuroimaging measurements of brain size and brain-related clinical traits. Cumulatively, these results represent a major step toward delineating the molecular pathways underlying human brain size variation in health and disease.<br />Competing Interests: Declaration of interests J.S., R.A.I.B., J.D.B., and A.F.A.-B. are directors and hold equity in Centile Bioscience. J.D.B. holds positions/equity in UpFront Diagnostics, Treovir, and NeuroX1. A.F.A.-B. receives consulting income from Octave Bioscience.<br /> (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
2211-1247
Volume :
42
Issue :
11
Database :
MEDLINE
Journal :
Cell reports
Publication Type :
Academic Journal
Accession number :
37963017
Full Text :
https://doi.org/10.1016/j.celrep.2023.113439