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Long Life Family Study Shows Reduced Coronary Artery Disease Despite High Polygenic Hazard Scores

机译:尽管高的多基因危险分数但长寿家庭研究表明冠状动脉疾病降低

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摘要

Polygenic hazard scores (PHS) for coronary artery disease (CAD) quantify individuals with age-specific genetic risk for CAD. We evaluated how well the PHS predict age at onset of CAD in the Long Life Family Study (LLFS; families selected for exceptional longevity), compared to the Family Heart Study (FamHS; random families and high CAD-risk families). LLFS contains 4572 European ancestry (EA) individuals from 581 families (age: 74.0 ± 14.3, range: 22-110 years). FamHS Random has 1806 EA individuals from 454 families (age: 56.2 ± 13.5, range: 22-91 years), while FamHS High CAD-risk has 2301 EA individuals from 553 families (age: 53.2 ± 12.8, range: 21-93 years). We generated the PHS from 176 published SNPs from GWAS for CAD (p< 5.0 x 10-8, r2< 0.2). In each of the extremes of the CAD PHS distributions (75%), Kaplan-Meier method showed that the LLFS presented significant delayed age at onset of CAD compared to FamHS (random and High CAD-risk: P<0.0001). A Cox proportional hazards regression model accounting for CAD age at onset, using family bootstrap (N= 1000) to correct for family relatedness, replicated these results. For example, in the top-25% CAD-PHS when comparing to FamHS high-risk, the LLFS CAD hazards ratio was 0.127 (95% CI: 0.099, 0.164). Our findings suggest that, while PHS captured some of the risk of CAD in LLFS, part of the predisposition remains to be determined. Other relevant factors, including additional genetic discoveries and lifestyle-environment influences are needed to fully determine CAD risk in extreme samples.
机译:冠状动脉疾病(CAD)对CAD的年龄特异性遗传风险量化的冠状动脉疾病(CAD)的多种危害评分(CAD)。与家庭心脏研究相比,我们评估了在长寿命家庭研究(LLFS;选定的家庭的家庭)的PHS预测年龄的衰老程度。与家庭心脏研究(FAMHS;随机家庭和高CAD-RIVEL家庭)相比,选择了卓越的寿命。 LLFS包含来自581个家庭的4572名欧洲祖先(EA)个体(年龄:74.0±14.3,范围:22-110岁)。 Famhs随机有来自454个家庭的1806个EA个人(年龄:56.2±13.5,范围:22-91岁),而Famhs High Cad-Risk有2301个家庭(年龄:53.2±12.8,范围:21-93岁) )。我们从176个发布的SNPS产生了来自GWA的PHS(P <5.0 x 10-8,R2 <0.2)。在CAD PHS分布的每个极端(75%)中,Kaplan-Meier方法表明,与FAMH(随机和高CAD-RIVEL:P <0.0001),LLFS在CAD的发作时呈现出显着的延迟年龄。 CAX比例危险回归模型占CAD年龄的成绩,使用家庭引导(n = 1000)来纠正家庭相关性,复制了这些结果。例如,在与FAMHS高风险相比,在前25%的CAD-PHS中,LLFS CAD危险比为0.127(95%CI:0.099,0.164)。我们的研究结果表明,虽然PHS捕获了LLF中的一些CAD的风险,但部分易感仍有待确定。需要其他相关因素,包括额外的遗传发现和生活方式环境影响,以充分确定极端样品的CAD风险。

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