Evidence map›Paper›PMID 41798299›Full record

ArticleInternational journal of general medicine2026

A Genetic Risk Prediction Model for Coronary Artery Disease Integrating CYP17A1 Polymorphisms and Clinical Variables in a Chinese Population.

Yu-Juan Feng, Zhi-Hui Jiang, Ying Pan, Chen-Yu Zhu, Xiang Ling, Zhi-Long Wang, Chang-Jiang Deng, Ying-Ying Zheng, Ting-Ting Wu, Xiang Xie

Abstract read
In one paragraph

Article in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yu-Juan Feng *Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.
Zhi-Hui Jiang *Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.
Ying PanDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.
Chen-Yu ZhuFirst Clinical Medical College, Xinjiang Medical University, Urumqi, People's Republic of China.
Xiang LingFirst Clinical Medical College, Xinjiang Medical University, Urumqi, People's Republic of China.
Zhi-Long WangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.
Chang-Jiang DengDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.
Ying-Ying ZhengDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.
Ting-Ting WuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.
Xiang XieDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.ORCID 0000-0002-0632-4626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to investigate the association between Patients and Methods: A total of 2221 subjects (1363 CAD patients and 858 controls) were enrolled. Five single-nucleotide polymorphisms (SNPs) (rs11191548, rs17115100, rs4409766, rs6162, and rs6163) were genotyped. To account for multiple testing across genetic models, the false discovery rate (FDR) correction was applied. A nomogram incorporating Results: In the overall population, preliminary association analyses identified three SNPs (rs11191548, rs17115100, rs4409766) with genotype distributions significantly different between cases and controls under recessive models. These associations remained significant after FDR correction for multiple testing across all 5 SNPs and 3 genetic models tested (all q = 0.035). Subsequent multivariate logistic regression, adjusted for clinical confounders, confirmed independent protective effects: the CC genotype of rs11191548 (OR = 0.507, 95% CI: 0.352-0.730, P < 0.001), the CC genotype of rs4409766 (OR = 0.557, 95% CI: 0.394-0.786, P = 0.001), and the TT genotype of rs17115100 (OR = 0.632, 95% CI: 0.473-0.844, P = 0.002). The integrated nomogram achieved an area under the curve (AUC) of 0.727-0.728 for CAD risk prediction. Moreover, exploratory sex-stratified analyses indicated potential sex-specific associations, with some variants linked to CAD risk in either males or females at a nominal significance level. Conclusion: The rs11191548, rs17115100, and rs4409766 variants of the

Indexed as

CADCYP17A1 genepolymorphism

Identifiers

PMID41798299
PMCPMC12960047

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.