Optimizing genomic control in mixed model associations with binary diseases.

Song, Yuxin; Yang, Li'ang; Jiang, Li; Hao, Zhiyu; Yang, Runqing; Xu, Pao

Song, Yuxin; Yang, Li'ang; Jiang, Li; Hao, Zhiyu; Yang, Runqing; Xu, Pao.

Afiliação

Song Y; Wuxi Fisheries College, Nanjing Agricultural University, People's Republic of China.
Yang L; College of Life Science, Northeast Agricultural University, People's Republic of China.
Jiang L; Research Centre for Aquatic biotechnology, Chinese Academy of Fishery Sciences, People's Republic of China.
Hao Z; Institute of Animal Husbandry, Heilongjiang Academy of Agricultural Sciences, People's Republic of China.
Yang R; Research Centre for Aquatic biotechnology, Chinese Academy of Fishery Sciences, People's Republic of China.
Xu P; Wuxi Fisheries College, Nanjing Agricultural University, People's Republic of China.

Brief Bioinform ; 23(1)2022 01 17.

Article em En | MEDLINE | ID: mdl-34643219

Assuntos

Estudo de Associação Genômica Ampla; Modelos Genéticos; Genoma; Estudo de Associação Genômica Ampla/métodos; Genômica; Herança Multifatorial; Polimorfismo de Nucleotídeo Único

Palavras-chave

binary disease; computational efficiency; generalized linear mixed model; genomic control; joint association analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article

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