Using Polygenic Risk Scores Related to Complex Traits to Predict Production Performance in Cross-Breeding of Yeast.

Dai, Yi; Shi, Guohui; Chen, Mengmeng; Chen, Guotao; Wu, Qi

Dai, Yi; Shi, Guohui; Chen, Mengmeng; Chen, Guotao; Wu, Qi.

Afiliación

Dai Y; State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Shi G; University of the Chinese Academy of Sciences, Beijing 100049, China.
Chen M; State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Chen G; State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Wu Q; University of the Chinese Academy of Sciences, Beijing 100049, China.

J Fungi (Basel) ; 8(9)2022 Aug 29.

Article en En | MEDLINE | ID: mdl-36135639

Palabras clave

GWAS; complex trait; cross-breeding; hybrid; polygenic risk score

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Fungi (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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