Translational PsychiatryGenetic & Genomic MedicinePeer-reviewed journal article
Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder
Huarong Yang, Di LiuiD, Chuntao ZhaoiD, Bowen FengiD, Wenjin LuiD, Xiaohan YangiD, Minglu Xu, Weizhu Zhou, Huiquan JingiD, Jingyun YangiD
Abstract
ObjectivesTo prioritize genes that are pleiotropically or potentially causally associated with the risk of MDD. MethodsWe applied the summary data-based Mendelian randomization (SMR) method integrating GWAS and expression quantitative trait loci (eQTL) data in 13 brain regions to identify genes that were pleiotropically associated with the risk of MDD. In addition, we repeated the analysis by using the meta-analyzed version of the eQTL summary data in the brain (brain-eMeta). ResultsWe identified multiple significant genes across different brain regions that may be involved in the pathogenesis of MDD. The prime-specific gene BTN3A2 (corresponding probe: ENSG00000186470.9) was the top hit showing pleotropic association with MDD in 9 of the 13 brain regions and in brain-eMeta, after correction for multiple testing. Many of the identified genes are located in the human major histocompatibility complex (MHC) region on chromosome 6 and are mainly involved in immune response. ConclusionsOur SMR analysis revealed that multiple genes showed pleiotropic association with MDD across the brain regions. These findings provide important leads to a better understanding of the mechanism of MDD, and reveals potential therapeutic targets for the prevention and effective treatment of MDD.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 59
- FWCI
- 3.39
- Field percentile
- top 6%
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