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A Prism Vote method for individualized risk prediction of traits in genotype data of Multi-population.
Xia, Xiaoxuan; Zhang, Yexian; Sun, Rui; Wei, Yingying; Li, Qi; Chong, Marc Ka Chun; Wu, William Ka Kei; Zee, Benny Chung-Ying; Tang, Hua; Wang, Maggie Haitian.
Afiliação
  • Xia X; Centre for Clinical Research and Biostatistics, JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
  • Zhang Y; CUHK Shenzhen Research Institute, Shenzhen, China.
  • Sun R; Department of Statistics, the Chinese University of Hong Kong, Hong Kong SAR, China.
  • Wei Y; Centre for Clinical Research and Biostatistics, JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
  • Li Q; CUHK Shenzhen Research Institute, Shenzhen, China.
  • Chong MKC; Centre for Clinical Research and Biostatistics, JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
  • Wu WKK; CUHK Shenzhen Research Institute, Shenzhen, China.
  • Zee BC; The 7th affiliated hospital of Sun Yat-Sen University, Shenzhen, China.
  • Tang H; Department of Statistics, the Chinese University of Hong Kong, Hong Kong SAR, China.
  • Wang MH; Centre for Clinical Research and Biostatistics, JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
PLoS Genet ; 18(10): e1010443, 2022 10.
Article em En | MEDLINE | ID: mdl-36302058

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Modelos Genéticos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS Genet Assunto da revista: GENETICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Modelos Genéticos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS Genet Assunto da revista: GENETICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China