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Combining genome-wide association study based on low-coverage whole genome sequencing and transcriptome analysis to reveal the key candidate genes affecting meat color in pigs.
Zha, Chengwan; Liu, Kaiyue; Wu, Jian; Li, Pinghua; Hou, Liming; Liu, Honglin; Huang, Ruihua; Wu, Wangjun.
Afiliação
  • Zha C; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
  • Liu K; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
  • Wu J; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
  • Li P; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
  • Hou L; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
  • Liu H; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
  • Huang R; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
  • Wu W; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
Anim Genet ; 54(3): 295-306, 2023 Jun.
Article em En | MEDLINE | ID: mdl-36727217
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Locos de Características Quantitativas / Estudo de Associação Genômica Ampla Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Locos de Características Quantitativas / Estudo de Associação Genômica Ampla Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article