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GWAS 区域附近 62 种复杂性状中孟德尔疾病基因的表型特异性富集。

Phenotype-Specific Enrichment of Mendelian Disorder Genes near GWAS Regions across 62 Complex Traits.

机构信息

Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095, USA.

出版信息

Am J Hum Genet. 2018 Oct 4;103(4):535-552. doi: 10.1016/j.ajhg.2018.08.017.

Abstract

Although recent studies provide evidence for a common genetic basis between complex traits and Mendelian disorders, a thorough quantification of their overlap in a phenotype-specific manner remains elusive. Here, we have quantified the overlap of genes identified through large-scale genome-wide association studies (GWASs) for 62 complex traits and diseases with genes containing mutations known to cause 20 broad categories of Mendelian disorders. We identified a significant enrichment of genes linked to phenotypically matched Mendelian disorders in GWAS gene sets; of the total 1,240 comparisons, a higher proportion of phenotypically matched or related pairs (n = 50 of 92 [54%]) than phenotypically unmatched pairs (n = 27 of 1,148 [2%]) demonstrated significant overlap, confirming a phenotype-specific enrichment pattern. Further, we observed elevated GWAS effect sizes near genes linked to phenotypically matched Mendelian disorders. Finally, we report examples of GWAS variants localized at the transcription start site or physically interacting with the promoters of genes linked to phenotypically matched Mendelian disorders. Our results are consistent with the hypothesis that genes that are disrupted in Mendelian disorders are dysregulated by non-coding variants in complex traits and demonstrate how leveraging findings from related Mendelian disorders and functional genomic datasets can prioritize genes that are putatively dysregulated by local and distal non-coding GWAS variants.

摘要

尽管最近的研究为复杂性状和孟德尔疾病之间的共同遗传基础提供了证据,但以表型特异性的方式彻底量化它们的重叠仍然难以捉摸。在这里,我们已经量化了通过大规模全基因组关联研究(GWAS)确定的 62 种复杂性状和疾病的基因与已知导致 20 种广泛孟德尔疾病类别的突变基因之间的重叠。我们发现与表型匹配的孟德尔疾病相关的基因在 GWAS 基因集中存在显著富集;在总共 1240 次比较中,表型匹配或相关的对(n = 50/92 [54%])比表型不匹配的对(n = 27/1148 [2%])表现出显著重叠,证实了表型特异性富集模式。此外,我们观察到与表型匹配的孟德尔疾病相关基因附近的 GWAS 效应大小升高。最后,我们报告了 GWAS 变体定位于转录起始位点或与表型匹配的孟德尔疾病相关基因的启动子物理相互作用的例子。我们的结果与以下假设一致,即在孟德尔疾病中被破坏的基因是由复杂性状中非编码变异调节的,并证明了如何利用相关孟德尔疾病和功能基因组数据集的发现可以优先考虑由局部和远端非编码 GWAS 变异调节的假定失调基因。

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