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Co-Expression Network Analysis Revealed That the ATP5G1 Gene Is Associated With Major Depressive Disorder.
Zeng, Duan; He, Shen; Ma, Changlin; Wen, Yi; Xie, Ying; Zhao, Nan; Sun, Xirong; Wang, Dongxiang; Shen, Yifeng; Yu, Yimin; Li, Huafang.
Afiliação
  • Zeng D; Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • He S; Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Ma C; Department of Psychiatry,Shanghai Jiading District Mental Health Center, Shanghai, China.
  • Wen Y; Department of Psychiatry,Shanghai Jiading District Mental Health Center, Shanghai, China.
  • Xie Y; Department of Pharmacology and Chemical Biology, Faculty of Basic Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhao N; Department of Psychiatry, Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China.
  • Sun X; Department of Psychiatry, Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China.
  • Wang D; Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Shen Y; Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yu Y; Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Li H; Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Front Genet ; 10: 703, 2019.
Article em En | MEDLINE | ID: mdl-31428135
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article