Your browser doesn't support javascript.
loading
Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases.
Ishigaki, Kazuyoshi; Akiyama, Masato; Kanai, Masahiro; Takahashi, Atsushi; Kawakami, Eiryo; Sugishita, Hiroki; Sakaue, Saori; Matoba, Nana; Low, Siew-Kee; Okada, Yukinori; Terao, Chikashi; Amariuta, Tiffany; Gazal, Steven; Kochi, Yuta; Horikoshi, Momoko; Suzuki, Ken; Ito, Kaoru; Koyama, Satoshi; Ozaki, Kouichi; Niida, Shumpei; Sakata, Yasushi; Sakata, Yasuhiko; Kohno, Takashi; Shiraishi, Kouya; Momozawa, Yukihide; Hirata, Makoto; Matsuda, Koichi; Ikeda, Masashi; Iwata, Nakao; Ikegawa, Shiro; Kou, Ikuyo; Tanaka, Toshihiro; Nakagawa, Hidewaki; Suzuki, Akari; Hirota, Tomomitsu; Tamari, Mayumi; Chayama, Kazuaki; Miki, Daiki; Mori, Masaki; Nagayama, Satoshi; Daigo, Yataro; Miki, Yoshio; Katagiri, Toyomasa; Ogawa, Osamu; Obara, Wataru; Ito, Hidemi; Yoshida, Teruhiko; Imoto, Issei; Takahashi, Takashi; Tanikawa, Chizu.
Afiliação
  • Ishigaki K; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Akiyama M; Center for Data Sciences, Harvard Medical School, Boston, MA, USA.
  • Kanai M; Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Takahashi A; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Kawakami E; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Sugishita H; Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Sakaue S; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Matoba N; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Low SK; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Okada Y; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Terao C; Department of Genomic Medicine, Research Institute, National Cerebral and Cardiovascular Center, Osaka, Japan.
  • Amariuta T; Medical Sciences Innovation Hub Program (MIH), RIKEN, Yokohama, Japan.
  • Gazal S; Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Kochi Y; Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Horikoshi M; Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Suzuki K; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Ito K; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Koyama S; Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Ozaki K; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Niida S; Department of Genetics and UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Sakata Y; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Sakata Y; Cancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Kohno T; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Shiraishi K; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Momozawa Y; Laboratory of Statistical Immunology, WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan.
  • Hirata M; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan.
  • Matsuda K; Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Ikeda M; Center for Data Sciences, Harvard Medical School, Boston, MA, USA.
  • Iwata N; Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Ikegawa S; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Kou I; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Tanaka T; Graduate School of Arts and Sciences, Harvard University, Cambridge, MA, USA.
  • Nakagawa H; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Suzuki A; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Hirota T; Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Tamari M; Department of Genomic Function and Diversity, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.
  • Chayama K; Laboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Miki D; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Mori M; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Nagayama S; Laboratory for Genomics of Diabetes and Metabolism, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Daigo Y; Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Miki Y; Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Katagiri T; Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Ogawa O; Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.
  • Obara W; Medical Genome Center, National Center for Geriatrics and Gerontology, Obu, Japan.
  • Ito H; Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Yoshida T; Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Tohoku, Japan.
  • Imoto I; Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
  • Takahashi T; Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
  • Tanikawa C; Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Nat Genet ; 52(7): 669-679, 2020 07.
Article em En | MEDLINE | ID: mdl-32514122
ABSTRACT
The overwhelming majority of participants in current genetic studies are of European ancestry. To elucidate disease biology in the East Asian population, we conducted a genome-wide association study (GWAS) with 212,453 Japanese individuals across 42 diseases. We detected 320 independent signals in 276 loci for 27 diseases, with 25 novel loci (P < 9.58 × 10-9). East Asian-specific missense variants were identified as candidate causal variants for three novel loci, and we successfully replicated two of them by analyzing independent Japanese cohorts; p.R220W of ATG16L2 (associated with coronary artery disease) and p.V326A of POT1 (associated with lung cancer). We further investigated enrichment of heritability within 2,868 annotations of genome-wide transcription factor occupancy, and identified 378 significant enrichments across nine diseases (false discovery rate < 0.05) (for example, NKX3-1 for prostate cancer). This large-scale GWAS in a Japanese population provides insights into the etiology of complex diseases and highlights the importance of performing GWAS in non-European populations.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Estudo de Associação Genômica Ampla Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Nat Genet Assunto da revista: GENETICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Estudo de Associação Genômica Ampla Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Nat Genet Assunto da revista: GENETICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Japão
...