Leveraging family history in genetic association analyses of binary traits

Abstract Background Considering relatives’ health history in logistic regression for case–control genome-wide association studies (CC-GWAS) may provide new information that increases accuracy and power to detect disease associated genetic variants. We conducted simulations and analyzed type 2 diabet...

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出版年:	BMC Genomics
主要な著者:	Yixin Zhang, James B. Meigs, Ching-Ti Liu, Josée Dupuis, Chloé Sarnowski
フォーマット:	論文
言語:	英語
出版事項:	BMC 2022-10-01
主題:	Family history GWAS Meta-analysis
オンライン･アクセス:	https://doi.org/10.1186/s12864-022-08897-8