Integrative analyses prioritize GNL3 as a risk gene for bipolar disorder

表达数量性状基因座 生物 全基因组关联研究 表型 单核苷酸多态性 基因 基因表达调控 基因表达 基因调控网络 遗传学 计算生物学 遗传关联 基因型
作者
Qingtuan Meng,Le Wang,Rujia Dai,Jiawen Wang,Zongyao Ren,Sihan Liu,Yan Xia,Yi Jiang,Fangyuan Duan,Kangli Wang,Chunyu Liu,Chao Chen
出处
期刊:Molecular Psychiatry [Springer Nature]
卷期号:25 (11): 2672-2684 被引量:21
标识
DOI:10.1038/s41380-020-00866-5
摘要

Genome-wide association studies (GWASs) have identified numerous single nucleotide polymorphisms (SNPs) associated with bipolar disorder (BD), but what the causal variants are and how they contribute to BD is largely unknown. In this study, we used FUMA, a GWAS annotation tool, to pinpoint potential causal variants and genes from the latest BD GWAS findings, and performed integrative analyses, including brain expression quantitative trait loci (eQTL), gene coexpression network, differential gene expression, protein-protein interaction, and brain intermediate phenotype association analysis to identify the functions of a prioritized gene and its connection to BD. Convergent lines of evidence prioritized protein-coding gene G Protein Nucleolar 3 (GNL3) as a BD risk gene, with integrative analyses revealing GNL3's roles in cell proliferation, neuronal functions, and brain phenotypes. We experimentally revealed that BD-related eQTL SNPs rs10865973, rs12635140, and rs4687644 regulate GNL3 expression using dual luciferase reporter assay and CRISPR interference experiment in human neural progenitor cells. We further identified that GNL3 knockdown and overexpression led to aberrant neuronal proliferation and differentiation, using two-dimensional human neural cell cultures and three-dimensional forebrain organoid model. This study gathers evidence that BD-related genetic variants regulate GNL3 expression which subsequently affects neuronal proliferation and differentiation.

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