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Improving polygenic prediction in ancestrally diverse populations.
Ruan, Yunfeng; Lin, Yen-Feng; Feng, Yen-Chen Anne; Chen, Chia-Yen; Lam, Max; Guo, Zhenglin; He, Lin; Sawa, Akira; Martin, Alicia R; Qin, Shengying; Huang, Hailiang; Ge, Tian.
Affiliation
  • Ruan Y; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Lin YF; Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.
  • Feng YA; Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan.
  • Chen CY; Department of Public Health and Medical Humanities, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Lam M; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Guo Z; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • He L; Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Sawa A; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
  • Martin AR; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.
  • Qin S; Master of Public Health Program, National Taiwan University, Taipei, Taiwan.
  • Huang H; Biogen, Cambridge, MA, USA.
  • Ge T; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nat Genet ; 54(5): 573-580, 2022 05.
Article de En | MEDLINE | ID: mdl-35513724

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Prédisposition génétique à une maladie / Étude d'association pangénomique Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Nat Genet Sujet du journal: GENETICA MEDICA Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Prédisposition génétique à une maladie / Étude d'association pangénomique Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Nat Genet Sujet du journal: GENETICA MEDICA Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique