Biological Insights from Schizophrenia-associated Loci in Ancestral Populations

Tim B Bigdeli, Chris Chatzinakos, Jaroslav Bendl, Peter B Barr, Sanan Venkatesh, Bryan R Gorman, Tereza Clarence, Giulio Genovese, Conrad O Iyegbe, Roseann E Peterson, Sergios-Orestis Kolokotronis, David Burstein, Jacquelyn L Meyers, Yuli Li, Nallakkandi Rajeevan, Frederick Sayward, Kei-Hoi Cheung, Project Among African-Americans to Explore Risks for Schizophrenia (PAARTNERS), Consortium on the Genomics of Schizophrenia (COGS), Genomic Psychiatry Cohort (GPC) Investigators, Lynn E DeLisi, Thomas Kosten, Hongyu Zhao, Eric Achtyes, Peter Buckley, Dolores Malaspina, Douglas Lehrer, Mark H Rapaport, David L Braff, Michele T Pato, Ayman H Fanous, Carlos N Pato, PsychAD Consortium, Cooperative Studies Program (CSP) #572, Million Veteran Program (MVP), Grant D Huang, Sumitra Muralidhar, J. Michael Gaziano, Saiju Pyarajan, Kiran Girdhar, Donghoon Lee, Gabriel E Hoffman, Mihaela Aslan, John F Fullard, Georgios Voloudakis, Philip D Harvey, Panos Roussos
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Abstract

Large-scale genome-wide association studies of schizophrenia have uncovered hundreds of associated loci but with extremely limited representation of African diaspora populations. We surveyed electronic health records of 200,000 individuals of African ancestry in the Million Veteran and All of Us Research Programs, and, coupled with genotype-level data from four case-control studies, realized a combined sample size of 13,012 affected and 54,266 unaffected persons. Three genome-wide significant signals - near PLXNA4, PMAIP1, and TRPA1 - are the first to be independently identified in populations of predominantly African ancestry. Joint analyses of African, European, and East Asian ancestries across 86,981 cases and 303,771 controls, yielded 376 distinct autosomal loci, which were refined to 708 putatively causal variants via multi-ancestry fine-mapping. Utilizing single-cell functional genomic data from human brain tissue and two complementary approaches, transcriptome-wide association studies and enhancer-promoter contact mapping, we identified a consensus set of 94 genes across ancestries and pinpointed the specific cell types in which they act. We identified reproducible associations of schizophrenia polygenic risk scores with schizophrenia diagnoses and a range of other mental and physical health problems. Our study addresses a longstanding gap in the generalizability of research findings for schizophrenia across ancestral populations, underlining shared biological underpinnings of schizophrenia across global populations in the presence of broadly divergent risk allele frequencies.
祖先人群中精神分裂症相关基因位点的生物学启示
大规模的精神分裂症全基因组关联研究发现了数百个相关基因位点,但非洲散居人群的代表性极为有限。我们调查了 "百万退伍军人 "和 "我们所有人 "研究计划中 20 万非洲裔个体的电子健康记录,再加上四项病例对照研究的基因型数据,得到了 13012 名受影响者和 54266 名未受影响者的综合样本量。PLXNA4 、PMAIP1 和 TRPA1 附近的三个全基因组重要信号是首次在以非洲血统为主的人群中独立发现的。通过对非洲、欧洲和东亚血统的 86,981 例病例和 303,771 例对照进行联合分析,发现了 376 个不同的常染色体位点,并通过多种系精细图谱将这些位点细化为 708 个可能的致病变异。利用来自人类脑组织的单细胞功能基因组数据和两种互补方法(全转录组关联研究和增强子-启动子接触图谱),我们确定了一套跨血统的 94 个基因共识集,并精确定位了这些基因作用的特定细胞类型。我们确定了精神分裂症多基因风险评分与精神分裂症诊断及其他一系列身心健康问题之间的可重复性关联。我们的研究填补了精神分裂症研究成果在不同祖先人群中普遍适用性方面的一个长期空白,强调了在风险等位基因频率大相径庭的情况下,全球人群中精神分裂症的共同生物学基础。
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