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A fine-scale genetic map of the Japanese population.
Takayama, Jun; Makino, Satoshi; Funayama, Takamitsu; Ueki, Masao; Narita, Akira; Murakami, Keiko; Orui, Masatsugu; Ishikuro, Mami; Obara, Taku; Kuriyama, Shinichi; Yamamoto, Masayuki; Tamiya, Gen.
Afiliação
  • Takayama J; Department of AI and Innovative Medicine, Tohoku University School of Medicine, Sendai, Japan.
  • Makino S; Department of Integrative Genomics, Tohoku Medical Megabank Organization (ToMMo) Tohoku University, Sendai, Japan.
  • Funayama T; Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.
  • Ueki M; Department of Integrative Genomics, Tohoku Medical Megabank Organization (ToMMo) Tohoku University, Sendai, Japan.
  • Narita A; Department of Integrative Genomics, Tohoku Medical Megabank Organization (ToMMo) Tohoku University, Sendai, Japan.
  • Murakami K; Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.
  • Orui M; Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.
  • Ishikuro M; Department of Integrative Genomics, Tohoku Medical Megabank Organization (ToMMo) Tohoku University, Sendai, Japan.
  • Obara T; Department of Preventive Medicine and Epidemiology, ToMMo, Tohoku University, Sendai, Japan.
  • Kuriyama S; Department of Molecular Epidemiology, Tohoku University School of Medicine, Sendai, Japan.
  • Yamamoto M; Department of Preventive Medicine and Epidemiology, ToMMo, Tohoku University, Sendai, Japan.
  • Tamiya G; Department of Molecular Epidemiology, Tohoku University School of Medicine, Sendai, Japan.
Clin Genet ; 106(3): 284-292, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38719617
ABSTRACT
Genetic maps are fundamental resources for linkage and association studies. A fine-scale genetic map can be constructed by inferring historical recombination events from the genome-wide structure of linkage disequilibrium-a non-random association of alleles among loci-by using population-scale sequencing data. We constructed a fine-scale genetic map and identified recombination hotspots from 10 092 551 bi-allelic high-quality autosomal markers segregating among 150 unrelated Japanese individuals whose genotypes were determined by high-coverage (30×) whole-genome sequencing, and the genotype quality was carefully controlled by using their parents' and offspring's genotypes. The pedigree information was also utilized for haplotype phasing. The resulting genome-wide recombination rate profiles were concordant with those of the worldwide population on a broad scale, and the resolution was much improved. We identified 9487 recombination hotspots and confirmed the enrichment of previously known motifs in the hotspots. Moreover, we demonstrated that the Japanese genetic map improved the haplotype phasing and genotype imputation accuracy for the Japanese population. The construction of a population-specific genetic map will help make genetics research more accurate.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recombinação Genética / Desequilíbrio de Ligação / Mapeamento Cromossômico / População do Leste Asiático Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recombinação Genética / Desequilíbrio de Ligação / Mapeamento Cromossômico / População do Leste Asiático Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article