Identifying the predictive effectiveness of a genetic risk score for incident hypertension using machine learning methods among populations in rural China-Reference-Cited by-同舟云学术

Identifying the predictive effectiveness of a genetic risk score for incident hypertension using machine learning methods among populations in rural China

Published:2021-09-03 Issue:11 Volume:44 Page:1483-1491
ISSN:0916-9636
Container-title:Hypertension Research
language:en
Short-container-title:Hypertens Res

Author:

Niu Miaomiao,Wang Yikang,Zhang Liying,Tu Runqi,Liu Xiaotian,Hou Jian,Huo Wenqian,Mao Zhenxing,Wang Chongjian,Bie Ronghai

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Physiology,Internal Medicine

Link

https://www.nature.com/articles/s41440-021-00738-7.pdf

Reference41 articles.

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3. Rapsomaniki E, Timmis A, George J, Pujades-Rodriguez M, Shah AD, Denaxas S, et al. Blood pressure and incidence of twelve cardiovascular diseases: Lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people. Lancet. 2014;383:1899–911.

4. Levy D, Ehret GB, Rice K, Verwoert GC, Launer LJ, Dehghan A, et al. Genome-wide association study of blood pressure and hypertension. Nat Genet. 2009;41:677–87.

5. Evangelou E, Warren HR, Mosen-Ansorena D, Mifsud B, Pazoki R, Gao H, et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat Genet. 2018;50:1412–25.

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