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Exploring the Genetic Association between Obesity and Serum Lipid Levels Using Bivariate Methods.
Ke, Ji; Gao, Wenjing; Wang, Biqi; Cao, Weihua; Lv, Jun; Yu, Canqing; Huang, Tao; Sun, Dianjianyi; Liao, Chunxiao; Pang, Yuanjie; Pang, Zengchang; Cong, Liming; Wang, Hua; Wu, Xianping; Liu, Yu; Li, Liming.
Affiliation
  • Ke J; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Gao W; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Wang B; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Cao W; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Lv J; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Yu C; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Huang T; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Sun D; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Liao C; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Pang Y; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
  • Pang Z; Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China.
  • Cong L; Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
  • Wang H; Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Wu X; Sichuan Center for Disease Control and Prevention, Chengdu, China.
  • Liu Y; Heilongjiang Provincial Center for Disease Control and Prevention, Harbin, China.
  • Li L; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Twin Res Hum Genet ; 25(6): 234-244, 2022 12.
Article in En | MEDLINE | ID: mdl-36606461

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lipids / Obesity Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Twin Res Hum Genet Journal subject: GENETICA MEDICA Year: 2022 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lipids / Obesity Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Twin Res Hum Genet Journal subject: GENETICA MEDICA Year: 2022 Document type: Article Affiliation country: China Country of publication: United kingdom