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Identification of potential genetic causal variants for obesity-related traits using statistical fine mapping.
Gong, Rui; Greenbaum, Jonathan; Lin, Xu; Du, Yan; Su, Kuan-Jui; Gong, Yun; Shen, Jie; Deng, Hong-Wen.
Afiliação
  • Gong R; Endocrinology Cadre Ward, Gansu Provincial Hospital, Lanzhou, 730000, Gansu, China.
  • Greenbaum J; Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
  • Lin X; The 3rd Affiliated Hospital of Southern Medical University, Guangdong, 510000, Guangzhou, China.
  • Du Y; Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
  • Su KJ; Shunde Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, 528000, China.
  • Gong Y; School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA.
  • Shen J; Tulane Center for 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, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
Mol Genet Genomics ; 298(6): 1309-1319, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37498361

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Obesidade Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Mol Genet Genomics Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Obesidade Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Mol Genet Genomics Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China