Identification of novel meQTLs strongly associated with rheumatoid arthritis by large-scale epigenome-wide analysis.

Tang, Guoping; Sun, Chen; Lv, Hongchao; Zhang, Mingming; Jiang, Yongshuai; Xu, Jing

Tang, Guoping; Sun, Chen; Lv, Hongchao; Zhang, Mingming; Jiang, Yongshuai; Xu, Jing.

Afiliação

Tang G; The Fourth Affiliated Hospital, Zhejiang University School of Medicine, China.
Sun C; College of Bioinformatics Science and Technology, Harbin Medical University, China.
Lv H; College of Bioinformatics Science and Technology, Harbin Medical University, China.
Zhang M; College of Bioinformatics Science and Technology, Harbin Medical University, China.
Jiang Y; College of Bioinformatics Science and Technology, Harbin Medical University, China.
Xu J; College of Bioinformatics Science and Technology, Harbin Medical University, China.

FEBS Open Bio ; 12(12): 2227-2235, 2022 12.

Article em En | MEDLINE | ID: mdl-36342317

Assuntos

Artrite Reumatoide; Epigenoma; Locos de Características Quantitativas; Humanos; Artrite Reumatoide/genética; Metilação de DNA; Epigênese Genética

Palavras-chave

DNA methylation; SNP; bioinformatics; epigenetics; genetic risk; rheumatoid arthritis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artrite Reumatoide / Locos de Características Quantitativas / Epigenoma Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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