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Article

Genetic factors increase the identification efficiency of predictive models for dyslipidaemia: a prospective cohort study.

Lipids in health and disease - 12 Feb 2021

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

Abstract excerpt

BACKGROUND: Few studies have developed risk models for dyslipidaemia, especially for rural populations. Furthermore, the performance of genetic factors in predicting dyslipidaemia has not been explored. The purpose of this study is to develop and evaluate prediction models with and without genetic factors for dyslipidaemia in rural populations. METHODS: A total of 3596 individuals from the Henan Rural Cohort...

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Identifiers

PMID: 33579296
DOI: 10.1186/s12944-021-01439-3
PMCID: PMC7881493

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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