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Partitioning heritability analysis reveals a shared genetic basis of brain anatomy and schizophrenia.

Authors :
Lee PH
Baker JT
Holmes AJ
Jahanshad N
Ge T
Jung JY
Cruz Y
Manoach DS
Hibar DP
Faskowitz J
McMahon KL
de Zubicaray GI
Martin NG
Wright MJ
Öngür D
Buckner R
Roffman J
Thompson PM
Smoller JW
Source :
Molecular psychiatry [Mol Psychiatry] 2016 Dec; Vol. 21 (12), pp. 1680-1689. Date of Electronic Publication: 2016 Oct 11.
Publication Year :
2016

Abstract

Schizophrenia is a devastating neurodevelopmental disorder with a complex genetic etiology. Widespread cortical gray matter loss has been observed in patients and prodromal samples. However, it remains unresolved whether schizophrenia-associated cortical structure variations arise due to disease etiology or secondary to the illness. Here we address this question using a partitioning-based heritability analysis of genome-wide single-nucleotide polymorphism (SNP) and neuroimaging data from 1750 healthy individuals. We find that schizophrenia-associated genetic variants explain a significantly enriched proportion of trait heritability in eight brain phenotypes (false discovery rate=10%). In particular, intracranial volume and left superior frontal gyrus thickness exhibit significant and robust associations with schizophrenia genetic risk under varying SNP selection conditions. Cross-disorder comparison suggests that the neurogenetic architecture of schizophrenia-associated brain regions is, at least in part, shared with other psychiatric disorders. Our study highlights key neuroanatomical correlates of schizophrenia genetic risk in the general population. These may provide fundamental insights into the complex pathophysiology of the illness, and a potential link to neurocognitive deficits shaping the disorder.<br />Competing Interests: Authors declare no conflicts of interest.

Details

Language :
English
ISSN :
1476-5578
Volume :
21
Issue :
12
Database :
MEDLINE
Journal :
Molecular psychiatry
Publication Type :
Academic Journal
Accession number :
27725656
Full Text :
https://doi.org/10.1038/mp.2016.164