SDPRX: A statistical method for cross-population prediction of complex traits.

Zhou, Geyu; Chen, Tianqi; Zhao, Hongyu

Zhou, Geyu; Chen, Tianqi; Zhao, Hongyu.

Zhou G; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Chen T; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Zhao H; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. Electronic address: hongyu.zhao@yale.edu.

Am J Hum Genet ; 110(1): 13-22, 2023 01 05.

Article en En | MEDLINE | ID: mdl-36460009

Asunto(s)

Estudio de Asociación del Genoma Completo; Herencia Multifactorial; Humanos; Herencia Multifactorial/genética; Estudio de Asociación del Genoma Completo/métodos; Predisposición Genética a la Enfermedad; Factores de Riesgo; Genotipo

Palabras clave

PRS; complex traits; cross-population; genome-wide association studies; polygenic risk score

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Herencia Multifactorial / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

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