Multitrait Genetic Analysis Identifies Novel Pleiotropic Loci for Depression and Schizophrenia in East Asians

被引:2
作者
Song, Yingchao [1 ]
Li, Linzehao [1 ]
Jiang, Yue [1 ]
Peng, Bichen [1 ]
Jiang, Hengxuan [1 ]
Chao, Zhen [1 ]
Chang, Xiao [1 ]
机构
[1] Shandong First Med Univ, Coll Artificial Intelligence & Big Data Med Sci, Tai An, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
schizophrenia; depression; multi-trait analysis of GWAS; East Asian; GAMMA-PROTOCADHERINS; BIPOLAR DISORDER; MAJOR DEPRESSION; ASSOCIATION; METAANALYSIS; SYMPTOMS; TRAIT; RISK;
D O I
10.1093/schbul/sbae145
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Background and Hypothesis While genetic correlations, pleiotropic loci, and shared genetic mechanisms of psychiatric disorders have been extensively studied in European populations, the investigation of these factors in East Asian populations has been relatively limited.Study Design To identify novel pleiotropic risk loci for depression and schizophrenia (SCZ) in East Asians. We utilized the most comprehensive dataset available for East Asians and quantified the genetic overlap between depression, SCZ, and their related traits via a multitrait genome-wide association study. Global and local genetic correlations were estimated by LDSC and rho-HESS. Pleiotropic loci were identified by the multitrait analysis of GWAS (MTAG).Study Results Besides the significant correlation between depression and SCZ, our analysis revealed genetic correlations between depression and obesity-related traits, such as weight, BMI, T2D, and HDL. In SCZ, significant correlations were detected with HDL, heart diseases and use of various medications. Conventional meta-analysis of depression and SCZ identified a novel locus at 1q25.2 in East Asians. Further multitrait analysis of depression, SCZ and related traits identified ten novel pleiotropic loci for depression, and four for SCZ.Conclusions Our findings demonstrate shared genetic underpinnings between depression and SCZ in East Asians, as well as their associated traits, providing novel candidate genes for the identification and prioritization of therapeutic targets specific to this population.
引用
收藏
页码:684 / 695
页数:12
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