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Epigenomic and Transcriptomic Prioritization of Candidate Obesity-Risk Regulatory GWAS SNPs.
Zhang, Xiao; Li, Tian-Ying; Xiao, Hong-Mei; Ehrlich, Kenneth C; Shen, Hui; Deng, Hong-Wen; Ehrlich, Melanie.
Afiliação
  • Zhang X; Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
  • Li TY; Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha 410013, China.
  • Xiao HM; Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha 410013, China.
  • Ehrlich KC; Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
  • Shen H; Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
  • Deng HW; Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
  • Ehrlich M; Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
Int J Mol Sci ; 23(3)2022 Jan 23.
Article em En | MEDLINE | ID: mdl-35163195

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Polimorfismo de Nucleotídeo Único / Estudo de Associação Genômica Ampla / Obesidade Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Polimorfismo de Nucleotídeo Único / Estudo de Associação Genômica Ampla / Obesidade Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos