Risk prediction for coronary heart disease by a genetic risk score - results from the Heinz Nixdorf Recall study

Abstract Background A Genetic risk score for coronary artery disease (CAD) improves the ability of predicting coronary heart disease (CHD). It is unclear whether i) the use of a CAD genetic risk score is superior to the measurement of coronary artery calcification (CAC) for CHD risk assessment and ii) the CHD risk assessment using a CAD genetic risk score differs between men and women. Methods We included 4041 participants (age-range: 45–76 years, 1919 men) of the Heinz Nixdorf Recall study without CHD or stroke at baseline. A standardized weighted CAD genetic risk score was constructed using 70 known genetic variants. The risk score was divided into quintiles (Q1-Q5). We specified low (Q1), intermediate (Q2-Q4) and high (Q5) genetic risk groups. Incident CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. The association between the genetic risk score and genetic risk groups with incident CHD was assessed using Cox models to estimate hazard ratios (HR) and 95%-confidence intervals (CI). The models were adjusted by age and sex (Model1), as well as by established CHD risk factors (RF) and CAC (Model2). The analyses were further stratified by sex and controlled for multiple testing. Results During a median follow-up time of 11.6 ± 3.7 years, 343 participants experienced CHD events (219 men). Per-standard deviation (SD) increase in the genetic risk score was associated with 18% increased risk for incident CHD (Model1: p = 0.002) which did not change after full adjustment (Model2: HR = 1.18 per-SD (p = 0.003)). In Model2 we observed a 60% increased CHD risk in the high (p = 0.009) compared to the low genetic risk group. Stratifying by sex, only men showed statistically significantly higher risk for CHD (Model2: HR = 1.23 per-SD (p = 0.004); intermediate: HR = 1.52 (p = 0.04) and high: HR = 1.88 (p = 0.008)) with no statistically significant risk observed in women. Conclusion Our results suggest that the CAD genetic risk score could be useful for CHD risk prediction, at least in men belonging to the higher genetic risk group, but it does not outbalance the value of CT-based quantification of CAC which works independently on both men and women and allows better risk stratification in both the genders.

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Coronary Heart Disease Genetic Risk Score Predicts Cardiovascular Disease Risk in Men, Not Women

Circulation Genomic and Precision Medicine ◽

10.1161/circgen.118.002324 ◽

2018 ◽

Vol 11 (10) ◽

Cited By ~ 6

Author(s):

Catherine Hajek ◽

Xiuqing Guo ◽

Jie Yao ◽

Yang Hai ◽

W. Craig Johnson ◽

...

Keyword(s):

Cardiovascular Disease ◽

Coronary Heart Disease ◽

Heart Disease ◽

Risk Score ◽

Genetic Risk ◽

Disease Risk ◽

Genetic Risk Score ◽

Cardiovascular Disease Risk

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Abstract 16508: Effect of Disclosure of Genetic Risk for Coronary Heart Disease on Information Seeking and Information Sharing in a Randomized Clinical Trial (from the MI-GENES Investigators)

Circulation ◽

10.1161/circ.132.suppl_3.16508 ◽

2015 ◽

Vol 132 (suppl_3) ◽

Author(s):

Sherry-Ann Brown ◽

Hayan Jouni ◽

Erin Austin ◽

Tariq Marroush ◽

Iftikhar Kullo ◽

...

Keyword(s):

Coronary Heart Disease ◽

Heart Disease ◽

Information Sharing ◽

Risk Score ◽

Information Seeking ◽

Genetic Risk ◽

Heart Attack ◽

Internet Use ◽

Risk Disclosure ◽

Chd Risk

Background: Whether disclosing genetic risk for coronary heart disease (CHD) to individuals influences information seeking and information sharing is not known. Methods: The myocardial infarction genes (MI-GENES) trial randomized participants aged 45-65 years who were at intermediate risk for CHD based on conventional risk factors and not on statins, to receive their conventional risk score (CRS) or their CRS plus a genetic risk score (GRS) based on 28 susceptibility variants. CHD risk was disclosed by a genetic counselor and then discussed with a physician. Surveys to assess information seeking (including internet use and accessing electronic health records (EHR)) were completed before and three and six months after risk disclosure. Information sharing parameters were assessed after risk disclosure. We assessed whether these behaviors differed by GRS disclosure, or by high (≥1.1) or low (<1.1) GRS. Adjustments were made for age, sex, family history of CHD, baseline CRS and GRS, and education. Results were reported as the mean difference (and standard error) in the score for each survey response between the GRS and CRS participants, with significance determined by regression analysis. Results: GRS participants accessed their EHR to obtain information related to their CHD risk more than CRS participants (0.14 ± 0.06, p=0.03). Overall internet use (0.61 ± 0.23, p=0.01), as well as internet use to seek information about heart disease (0.14 ± 0.06, p=0.02) and how genetic factors affect risk of having a heart attack (0.23 ± 0.07, p=0.002), was significantly higher in the GRS participants. GRS participants shared information about heart attack risk with others (0.35 ± 0.13, p=0.007), particularly family members (0.1 ± 0.04, p=0.02), (V4: 0.10 ± 0.05, p=0.05), and their primary care provider (V4: 0.15 ± 0.07, p=0.03) more than CRS participants. Internet use, EHR access, and information sharing did not differ significantly between the high and low GRS groups. Conclusions: Disclosure of GRS for CHD resulted in greater information seeking (including internet use and EHR access) and information sharing by study participants. Disclosure of genetic risk for CHD may help advance patient engagement in precision medicine.

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