<HashMap><database>biostudies-literature</database><scores><citationCount>0</citationCount><reanalysisCount>0</reanalysisCount><viewCount>45</viewCount><searchCount>0</searchCount></scores><additional><submitter>Yasumizu Y</submitter><funding>MEXT</funding><funding>KAKENHI</funding><funding>Advanced Clinical Epidemiology Investigator’s Research Project</funding><funding>AMED</funding><funding>Tailor-Made Medical Treatment program</funding><funding>Japan Agency for Medical Research and Development</funding><funding>Ministry of Education, Culture, Sports, Science, and Technology</funding><funding>Osaka University Center of Medical Data Science</funding><funding>Osaka University Medical Doctor Scientist Training Program</funding><funding>Bioinformatics Initiative of Osaka University Graduate School of Medicine</funding><funding>JSPS</funding><funding>Japan Society for the Promotion of Science</funding><pagination>1306-1316</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7182208</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>37(5)</volume><pubmed_abstract>Elucidation of natural selection signatures and relationships with phenotype spectra is important to understand adaptive evolution of modern humans. Here, we conducted a genome-wide scan of selection signatures of the Japanese population by estimating locus-specific time to the most recent common ancestor using the ascertained sequentially Markovian coalescent (ASMC), from the biobank-based large-scale genome-wide association study data of 170,882 subjects. We identified 29 genetic loci with selection signatures satisfying the genome-wide significance. The signatures were most evident at the alcohol dehydrogenase (ADH) gene cluster locus at 4q23 (PASMC = 2.2 × 10-36), followed by relatively strong selection at the FAM96A (15q22), MYOF (10q23), 13q21, GRIA2 (4q32), and ASAP2 (2p25) loci (PASMC &lt; 1.0 × 10-10). The additional analysis interrogating extended haplotypes (integrated haplotype score) showed robust concordance of the detected signatures, contributing to fine-mapping of the genes, and provided allelic directional insights into selection pressure (e.g., positive selection for ADH1B-Arg48His and HLA-DPB1*04:01). The phenome-wide selection enrichment analysis with the trait-associated variants identified a variety of the modern human phenotypes involved in the adaptation of Japanese. We observed population-specific evidence of enrichment with the alcohol-related phenotypes, anthropometric and biochemical clinical measurements, and immune-related diseases, differently from the findings in Europeans using the UK Biobank resource. Our study demonstrated population-specific features of the selection signatures in Japanese, highlighting a value of the natural selection study using the nation-wide biobank-scale genome and phenotype data.</pubmed_abstract><journal>Molecular biology and evolution</journal><pubmed_title>Genome-Wide Natural Selection Signatures Are Linked to Genetic Risk of Modern Phenotypes in the Japanese Population.</pubmed_title><pmcid>PMC7182208</pmcid><funding_grant_id>JP19ek0109413</funding_grant_id><funding_grant_id>JP19ek0410041</funding_grant_id><funding_grant_id>JP19gm6010001</funding_grant_id><funding_grant_id>19H01021</funding_grant_id><funding_grant_id>JP19km0405211</funding_grant_id><funding_grant_id>15H05911</funding_grant_id><pubmed_authors>Kamatani Y</pubmed_authors><pubmed_authors>Palamara PF</pubmed_authors><pubmed_authors>Murakami Y</pubmed_authors><pubmed_authors>Okada Y</pubmed_authors><pubmed_authors>Sakaue S</pubmed_authors><pubmed_authors>Konuma T</pubmed_authors><pubmed_authors>Suzuki K</pubmed_authors><pubmed_authors>Yasumizu Y</pubmed_authors><pubmed_authors>Matsuda K</pubmed_authors><pubmed_authors>Kubo M</pubmed_authors><view_count>45</view_count></additional><is_claimable>false</is_claimable><name>Genome-Wide Natural Selection Signatures Are Linked to Genetic Risk of Modern Phenotypes in the Japanese Population.</name><description>Elucidation of natural selection signatures and relationships with phenotype spectra is important to understand adaptive evolution of modern humans. Here, we conducted a genome-wide scan of selection signatures of the Japanese population by estimating locus-specific time to the most recent common ancestor using the ascertained sequentially Markovian coalescent (ASMC), from the biobank-based large-scale genome-wide association study data of 170,882 subjects. We identified 29 genetic loci with selection signatures satisfying the genome-wide significance. The signatures were most evident at the alcohol dehydrogenase (ADH) gene cluster locus at 4q23 (PASMC = 2.2 × 10-36), followed by relatively strong selection at the FAM96A (15q22), MYOF (10q23), 13q21, GRIA2 (4q32), and ASAP2 (2p25) loci (PASMC &lt; 1.0 × 10-10). The additional analysis interrogating extended haplotypes (integrated haplotype score) showed robust concordance of the detected signatures, contributing to fine-mapping of the genes, and provided allelic directional insights into selection pressure (e.g., positive selection for ADH1B-Arg48His and HLA-DPB1*04:01). The phenome-wide selection enrichment analysis with the trait-associated variants identified a variety of the modern human phenotypes involved in the adaptation of Japanese. We observed population-specific evidence of enrichment with the alcohol-related phenotypes, anthropometric and biochemical clinical measurements, and immune-related diseases, differently from the findings in Europeans using the UK Biobank resource. Our study demonstrated population-specific features of the selection signatures in Japanese, highlighting a value of the natural selection study using the nation-wide biobank-scale genome and phenotype data.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 May</publication><modification>2024-11-09T06:27:17.874Z</modification><creation>2020-05-22T19:35:35Z</creation></dates><accession>S-EPMC7182208</accession><cross_references><pubmed>31957793</pubmed><doi>10.1093/molbev/msaa005</doi></cross_references></HashMap>