Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan.
Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.
Nat Commun. 2018 Apr 24;9(1):1631. doi: 10.1038/s41467-018-03274-0.
Understanding natural selection is crucial to unveiling evolution of modern humans. Here, we report natural selection signatures in the Japanese population using 2234 high-depth whole-genome sequence (WGS) data (25.9×). Using rare singletons, we identify signals of very recent selection for the past 2000-3000 years in multiple loci (ADH cluster, MHC region, BRAP-ALDH2, SERHL2). In large-scale genome-wide association study (GWAS) dataset (n = 171,176), variants with selection signatures show enrichment in heterogeneity of derived allele frequency spectra among the geographic regions of Japan, highlighted by two major regional clusters (Hondo and Ryukyu). While the selection signatures do not show enrichment in archaic hominin-derived genome sequences, they overlap with the SNPs associated with the modern human traits. The strongest overlaps are observed for the alcohol or nutrition metabolism-related traits. Our study illustrates the value of high-depth WGS to understand evolution and their relationship with disease risk.
理解自然选择对于揭示现代人的进化至关重要。在这里,我们使用 2234 份高深度全基因组序列(WGS)数据(25.9×)报告了日本人群中的自然选择特征。利用罕见的单倍型,我们在多个基因座(ADH 簇、MHC 区域、BRAP-ALDH2、SERHL2)中鉴定出了过去 2000-3000 年内非常近期的选择信号。在大规模全基因组关联研究(GWAS)数据集(n=171176)中,具有选择特征的变体在日本地理区域之间的衍生等位基因频率谱的异质性中表现出富集,这一点由两个主要的区域聚类(本州和琉球)突出显示。虽然选择特征在古人类衍生的基因组序列中没有富集,但它们与与现代人类特征相关的 SNPs 重叠。在与酒精或营养代谢相关的特征方面观察到最强的重叠。我们的研究说明了使用高深度 WGS 来理解进化及其与疾病风险的关系的价值。