Multi-omic genetic scores advance disease research.

Chen, Chengxuan; Han, Leng

Chen, Chengxuan; Han, Leng.

Afiliação

Chen C; Center for Epigenetics and Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA. Electronic address: cc123@iu.edu.
Han L; Center for Epigenetics and Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Translational Medical Sciences, College of Medicine, Texas A&M University, Houston, TX, USA; Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA. Electronic address: lenghan@iu.edu.

Trends Genet ; 39(8): 600-601, 2023 08.

Article em En | MEDLINE | ID: mdl-37295977

Assuntos

Multiômica; Fenótipo

Palavras-chave

PheWAS; genetics scores; multi-omics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Multiômica Idioma: En Revista: Trends Genet Assunto da revista: GENETICA Ano de publicação: 2023 Tipo de documento: Article

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