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Genetic overlap between schizophrenia and cognitive performance

Authors :
Jianfei Zhang
Hao Qiu
Qiyu Zhao
Chongjian Liao
Yuxuan Guoli
Qi Luo
Guoshu Zhao
Nannan Zhang
Shaoying Wang
Zhihui Zhang
Minghuan Lei
Feng Liu
Yanmin Peng
Source :
Schizophrenia, Vol 10, Iss 1, Pp 1-7 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Schizophrenia (SCZ), a highly heritable mental disorder, is characterized by cognitive impairment, yet the extent of the shared genetic basis between schizophrenia and cognitive performance (CP) remains poorly understood. Therefore, we aimed to explore the polygenic overlap between SCZ and CP. Specifically, the bivariate causal mixture model (MiXeR) was employed to estimate the extent of genetic overlap between SCZ (n = 130,644) and CP (n = 257,841), and conjunctional false discovery rate (conjFDR) approach was used to identify shared genetic loci. Subsequently, functional annotation and enrichment analysis were carried out on the identified genomic loci. The MiXeR analyses revealed that 9.6 K genetic variants are associated with SCZ and 10.9 K genetic variants for CP, of which 9.5 K variants are shared between these two traits (Dice coefficient = 92.8%). By employing conjFDR, 236 loci were identified jointly associated with SCZ and CP, of which 139 were novel for the two traits. Within these shared loci, 60 exhibited consistent effect directions, while 176 had opposite effect directions. Functional annotation analysis indicated that the shared genetic loci were mainly located in intronic and intergenic regions, and were found to be involved in relevant biological processes such as nervous system development, multicellular organism development, and generation of neurons. Together, our findings provide insights into the shared genetic architecture between SCZ and CP, suggesting common pathways and mechanisms contributing to both traits.

Subjects

Subjects :
Psychiatry
RC435-571

Details

Language :
English
ISSN :
27546993
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Schizophrenia
Publication Type :
Academic Journal
Accession number :
edsdoj.4adc3b339b0466699a18161e410e932
Document Type :
article
Full Text :
https://doi.org/10.1038/s41537-024-00453-5