Genetic associations between bipolar disorder and brain structural phenotypes

Author:

Shang Meng-Yuan12,Zhang Chu-Yi3,Wu Yong4,Wang Lu3,Wang Chuang12,Li Ming3

Affiliation:

1. Ningbo University Zhejiang Key Laboratory of Pathophysiology, School of Medicine, , 818 Fenghua Road, Ningbo, 315211, Zhejiang , China

2. Ningbo University School of Basic Medical Science, School of Medicine, , 818 Fenghua Road, Ningbo, 315211, Zhejiang , China

3. Chinese Academy of Sciences Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, , No. 17 Long-Xin Lu, Kunming, 650201, Yunnan , China

4. Wuhan Mental Health Center Research Center for Mental Health and Neuroscience, , No. 920 Jianshe Road, Wuhan, 430012, Hubei , China

Abstract

AbstractPatients with bipolar disorder (BD) and their first-degree relatives exhibit alterations in brain volume and cortical structure, whereas the underlying genetic mechanisms remain unclear. In this study, based on the published genome-wide association studies (GWAS), the extent of polygenic overlap between BD and 15 brain structural phenotypes was investigated using linkage disequilibrium score regression and MiXeR tool, and the shared genomic loci were discovered by conjunctional false discovery rate (conjFDR) and expression quantitative trait loci (eQTL) analyses. MiXeR estimated the overall measure of polygenic overlap between BD and brain structural phenotypes as 4–53% on a 0–100% scale (as quantified by the Dice coefficient). Subsequent conjFDR analyses identified 54 independent loci (71 risk single-nucleotide polymorphisms) jointly associated with BD and brain structural phenotypes with a conjFDR < 0.05, among which 33 were novel that had not been reported in the previous BD GWAS. Follow-up eQTL analyses in respective brain regions both confirmed well-known risk genes (e.g. CACNA1C, NEK4, GNL3, MAPK3) and discovered novel risk genes (e.g. LIMK2 and CAMK2N2). This study indicates a substantial shared genetic basis between BD and brain structural phenotypes, and provides novel insights into the developmental origin of BD and related biological mechanisms.

Funder

Open Research Fund

Yunnan Fundamental Research Projects

Municipal Key R&D Program of Ningbo

National Natural Science Foundation of China

Natural Science Funds for Distinguished Young Scholar of Zhejiang

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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