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Polygenic risk score and coronary artery disease: A meta-analysis of 979,286 participant data.多基因风险评分与冠状动脉疾病:979286 名参与者数据的荟萃分析。
Atherosclerosis. 2021 Sep;333:48-55. doi: 10.1016/j.atherosclerosis.2021.08.020. Epub 2021 Aug 12.
3
Genetics of coronary artery disease in the post-GWAS era.全基因组关联研究时代之后的冠状动脉疾病遗传学
J Intern Med. 2021 Nov;290(5):980-992. doi: 10.1111/joim.13362. Epub 2021 Aug 23.
4
Interactions Between Enhanced Polygenic Risk Scores and Lifestyle for Cardiovascular Disease, Diabetes, and Lipid Levels.增强型多基因风险评分与生活方式对心血管疾病、糖尿病和血脂水平的交互作用。
Circ Genom Precis Med. 2021 Feb;14(1):e003128. doi: 10.1161/CIRCGEN.120.003128. Epub 2021 Jan 12.
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Joint association between education and polygenic risk score for incident coronary heart disease events: a longitudinal population-based study of 26 203 men and women.教育程度与冠心病事件多基因风险评分的联合关联:一项基于人群的26203名男性和女性的纵向研究。
J Epidemiol Community Health. 2021 Jul;75(7):651-657. doi: 10.1136/jech-2020-214358. Epub 2021 Jan 6.
6
Polygenic risk for alcohol misuse is moderated by romantic partnerships.多基因风险与酒精滥用有关,而浪漫关系可以调节这种风险。
Addiction. 2019 Oct;114(10):1753-1762. doi: 10.1111/add.14712. Epub 2019 Jul 30.
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Protocol of a research project 'Projections of the burden of disease and disability in Finland - health policy prospects' using cross-sectional health surveys and register-based follow-up.研究项目“芬兰疾病和残疾负担预测——卫生政策展望”的方案,使用横断面健康调查和基于登记的随访。
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Marital status and risk of cardiovascular diseases: a systematic review and meta-analysis.婚姻状况与心血管疾病风险:系统评价和荟萃分析。
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Marital status, gender and cardiovascular mortality: behavioural, psychological distress and metabolic explanations.婚姻状况、性别与心血管疾病死亡率:行为、心理困扰及代谢方面的解释
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婚姻状况和遗传易感性独立预测冠心病发病率。

Marital status and genetic liability independently predict coronary heart disease incidence.

作者信息

Silventoinen Karri, Lahtinen Hannu, Korhonen Kaarina, Smith George Davey, Ripatti Samuli, Morris Tim, Martikainen Pekka

机构信息

Faculty of Social Sciences, University of Helsinki, Finland.

Faculty of Medicine, University of Helsinki, Finland.

出版信息

Scand J Public Health. 2024 Feb;52(1):1-4. doi: 10.1177/14034948221119634. Epub 2022 Sep 7.

DOI:10.1177/14034948221119634
PMID:36071625
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10845822/
Abstract

AIMS

Married individuals have a lower coronary heart disease (CHD) risk than non-married, but the mechanisms behind this are not fully understood. We analyzed whether genetic liability to CHD may affect these associations.

METHODS

Marital status, a polygenic score of CHD (PGS-CHD), and other risk factors for CHD were measured from 35,444 participants (53% female) in Finnish population-based surveys conducted between 1992 and 2012. During the register-based follow-up until 2020, there were 2439 fatal and non-fatal incident CHD cases. The data were analyzed using linear and Cox regression models.

RESULTS

Divorced and cohabiting men and women had a higher genetic risk of CHD than married individuals, but the difference was very small (0.023-0.058 standard deviation of PGS-CHD, -values 0.011-0.429). Both marital status and PGS-CHD were associated with CHD incidence, but the associations were largely independent. Adjusting for behavioral and metabolic risk factors for CHD explained part of these associations (11-20%). No interaction was found between marital status and PGS-CHD for CHD incidence.

CONCLUSIONS

We showed minor differences between the marital status categories in PGS-CHD and demonstrated that marital status and genetic liability predicted CHD incidence largely independently. This emphasizes the need to measure multiple risk factors when predicting CHD risk.

摘要

目的

已婚个体患冠心病(CHD)的风险低于未婚个体,但其背后的机制尚未完全明确。我们分析了冠心病的遗传易感性是否会影响这些关联。

方法

在1992年至2012年进行的芬兰人群调查中,对35444名参与者(53%为女性)测量了婚姻状况、冠心病多基因评分(PGS-CHD)以及其他冠心病危险因素。在基于登记的随访至2020年期间,有2439例致命和非致命的冠心病发病病例。使用线性和Cox回归模型对数据进行分析。

结果

离婚和同居的男性和女性患冠心病的遗传风险高于已婚个体,但差异非常小(PGS-CHD的标准差为0.023 - 0.058,P值为0.011 - 0.429)。婚姻状况和PGS-CHD均与冠心病发病率相关,但这些关联在很大程度上是独立的。调整冠心病的行为和代谢危险因素解释了这些关联的一部分(11% - 20%)。未发现婚姻状况和PGS-CHD之间在冠心病发病率方面存在相互作用。

结论

我们发现PGS-CHD在婚姻状况类别之间存在微小差异,并证明婚姻状况和遗传易感性在很大程度上独立预测冠心病发病率。这强调了在预测冠心病风险时测量多种危险因素的必要性。