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30.04.2019 | Review articles

Associations between nine candidate genetic polymorphisms with coronary heart disease

A meta-analysis

verfasst von: Q. Li, Q. Du

Erschienen in: Herz | Sonderheft 1/2020

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Abstract

Background

The aim of this study was to obtain a more accurate assessment of the potential association between nine genetic polymorphisms and the risk of coronary heart disease (CHD).

Methods

A literature search was performed in PubMed, Embase, OVID, Web of Science, Wanfang, and Chinese National Knowledge Infrastructure (CNKI) databases to identify eligible studies. We analyzed the odds ratios (OR) and 95% confidence intervals (CI) to assess the strength of the associations.

Results

A significant association was found between the PON1 −108C/T polymorphism and CHD risk (TT vs. CC: OR = 1.67, 95% CI = 1.14–2.47, p = 0.009; CT vs. CC: OR = 1.47, 95% CI = 1.17–1.85, p = 0.001; [TT + CT] vs. CC: OR = 1.56, 95% CI = 1.18–2.06, p = 0.002; T allele vs. C allele: OR = 1.28, 95%CI = 1.06–1.54, p = 0.011). There was a significant association between the hOGG1 +1245C/G polymorphism and CHD (GG vs. CC: OR = 2.33, 95% CI: 1.19–4.56, p = 0.014; CG vs. CC: OR = 1.36, 95% CI: 1.01–1.83, p = 0.046; [GG + CG] vs. CC: OR = 1.46, 95% CI: 1.10–1.94, p = 0.010; GG vs. [CC+CG]: OR = 2.11, 95% CI: 1.08–4.10, p = 0.028; G allele vs. C allele: OR = 1.45, 95% CI: 1.14–1.84, p = 0.002). The results also showed a statistically significant association of the SCARB1 +1050C/T polymorphism with CHD (TT vs. CC: OR = 1.30, 95% CI = 1.04–1.62, p = 0.022). Meta-analyses of the other six polymorphisms suggested a lack of any association with CHD risk.

Conclusion

Our results show that the susceptibility to CHD was associated with three polymorphisms: PON1 −108C/T, hOGG1 +1245C/G, and SCARB1 +1050C/T.

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Titel: Associations between nine candidate genetic polymorphisms with coronary heart disease
A meta-analysis
verfasst von: Q. Li
Q. Du
Publikationsdatum: 30.04.2019
Verlag: Springer Medizin
Erschienen in: Herz / Ausgabe Sonderheft 1/2020
Print ISSN: 0340-9937
Elektronische ISSN: 1615-6692
DOI: https://doi.org/10.1007/s00059-019-4806-7

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Associations between nine candidate genetic polymorphisms with coronary heart disease

A meta-analysis

Abstract

Background

Methods

Results

Conclusion

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Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

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Abstract

Background

Methods

Results

Conclusion

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