Multivariate analysis of genome-wide data to identify potential pleiotropic genes for type 2 diabetes, obesity and coronary artery disease using MetaCCA

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作者： Jia, XiaoCan ^[1] ; Yang, YongLi ^[2] ; Chen, YuanCheng ^[3] ; Xia, Zhenhua ; Zhang, Weiping ; Feng, Yu ; Li, Yifan ; Tan, Jiebing ; Xu, Chao ; Zhang, Qiang ; Deng, Hongwen ; Shi, XueZhong

作者单位： Tulane Univ, Sch Publ Hlth & Trop Med, Ctr Bioinformat & Genom, New Orleans, LA USA ^[1] Southern Med Univ, Affiliated Hosp 3, Dept Endocrinol & Metab, Guangzhou, Guangdong, Peoples R China ^[2] Zhengzhou Univ, Coll Publ Hlth, Dept Epidemiol & Biostat, Zhengzhou, Henan, Peoples R China ^[3]

关键词 Obesity Type 2 diabetes Coronary artery disease Multivariate statistical analysis Genome-wide association study Pleiotropic

发布时间 2019-11-16

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International Journal of Cardiology

2019年283卷

144-150页

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Multivariate analysis of genome-wide data to identify potential pleiotropic genes for type 2 diabetes, obesity and coronary artery disease using MetaCCA

International Journal of Cardiology

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International Journal of Cardiology

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Multivariate analysis of genome-wide data to identify potential pleiotropic genes for type 2 diabetes, obesity and coronary artery disease using MetaCCA

International Journal of Cardiology

相似文献

International Journal of Cardiology

相关期刊

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