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Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores.
Campos, Adrian I; Namba, Shinichi; Lin, Shu-Chin; Nam, Kisung; Sidorenko, Julia; Wang, Huanwei; Kamatani, Yoichiro; Wang, Ling-Hua; Lee, Seunggeun; Lin, Yen-Feng; Feng, Yen-Chen Anne; Okada, Yukinori; Visscher, Peter M; Yengo, Loic.
Affiliation
  • Campos AI; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia. adrianisaac.camposgonzalez@uq.edu.au.
  • Namba S; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
  • Lin SC; Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan.
  • Nam K; Graduate School of Data Science, Seoul National University, Seoul, Republic of Korea.
  • Sidorenko J; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.
  • Wang H; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.
  • Kamatani Y; Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
  • Wang LH; Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan.
  • Lee S; Graduate School of Data Science, Seoul National University, Seoul, Republic of Korea.
  • Lin YF; Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan.
  • Feng YA; Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei, Taiwan.
  • Okada Y; Division of Biostatistics and Data Science, Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
  • Visscher PM; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
  • Yengo L; Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Nat Genet ; 55(10): 1769-1776, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37723263
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multifactorial Inheritance / Genome-Wide Association Study / East Asian People Type of study: Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2023 Document type: Article Affiliation country: Australia Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multifactorial Inheritance / Genome-Wide Association Study / East Asian People Type of study: Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2023 Document type: Article Affiliation country: Australia Country of publication: Estados Unidos