Article
Searching across-cohort relatives in 54,092 GWAS samples via encrypted genotype regression.
PLoS genetics - 1 Jan 2024
Zhang Qi-Xin, Liu Tianzi, Guo Xinxin, Zhen Jianxin, Yang Meng-Yuan, Khederzadeh Saber, Zhou Fang, Han Xiaotong, Zheng Qiwen, Jia Peilin, Ding Xiaohu, He Mingguang, Zou Xin, Liao Jia-Kai, Zhang Hongxin, He Ji, Zhu Xiaofeng, Lu Daru, Chen Hongyan, Zeng Changqing, Liu Fan, Zheng Hou-Feng, Liu Siyang, Xu Hai-Ming, Chen Guo-Bo
Abstract excerpt
Explicitly sharing individual level data in genomics studies has many merits comparing to sharing summary statistics, including more strict QCs, common statistical analyses, relative identification and improved statistical power in GWAS, but it is hampered by privacy or ethical constraints. In this study, we developed encG-reg, a regression approach that can detect relatives of various degrees based on encrypted...
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