Prediction of Alzheimer's disease using multi-variants from a Chinese genome-wide association study.

doi:10.1093/brain/awaa364

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Article

Prediction of Alzheimer's disease using multi-variants from a Chinese genome-wide association study.

Brain : a journal of neurology - 12 Apr 2021

Jia Longfei, Li Fangyu, Wei Cuibai, Zhu Min, Qu Qiumin, Qin Wei, Tang Yi, Shen Luxi, Wang Yanjiang, Shen Lu, Li Honglei, Peng Dantao, Tan Lan, Luo Benyan, Guo Qihao, Tang Muni, Du Yifeng, Zhang Jiewen, Zhang Junjian, Lyu Jihui, Li Ying, Zhou Aihong, Wang Fen, Chu Changbiao, Song Haiqing, Wu Liyong, Zuo Xiumei, Han Yue, Liang Junhua, Wang Qi, Jin Hongmei, Wang Wei, Lü Yang, Li Fang, Zhou Yuying, Zhang Wei, Liao Zhengluan, Qiu Qiongqiong, Li Yan, Kong Chaojun, Li Yan, Jiao Haishan, Lu Jie, Jia Jianping

Abstract excerpt

Previous genome-wide association studies have identified dozens of susceptibility loci for sporadic Alzheimer's disease, but few of these loci have been validated in longitudinal cohorts. Establishing predictive models of Alzheimer's disease based on these novel variants is clinically important for verifying whether they have pathological functions and provide a useful tool for screening of disease risk. In the...

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PMID: 33188687
DOI: 10.1093/brain/awaa364
PMCID: PMC8041344

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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