A multilocus genetic risk score predicts coronary heart disease risk in a Chinese Han population

Gui, Lixuan; Wu, Fangqin; Dai, Xiayun; Qiu, Gaokun; Li, Jun; Wang, Jing; Zhang, Xiaoming; Wu, Tangchun; He, Meian

doi:10.1016/j.atherosclerosis.2014.09.032

Cited by 22 publications

(15 citation statements)

References 29 publications

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“…It was previously shown that rs1333042 is associated with the risk of CHD in the Han Chinese [20, 21] and Saudi populations [7], which is inconsistent with our findings. The differences in these studies may be explained by ethnic differences, environment, or lifestyle that also affected the development of CHD.…”

Section: Discussioncontrasting

confidence: 99%

CDKN2BAS polymorphisms are associated with coronary heart disease risk a Han Chinese population

et al. 2016

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The goal of our study was to determine whether CDKN2BAS polymorphisms are associated with coronary heart disease (CHD) risk in a Han Chinese population. Eight SNPs were genotyped in 676 men and 465 women. We used χ2 tests and genetic model analyses to evaluate associations between the SNPs and CHD risk. We found that rs10757274 was associated with an increased risk of CHD in both men (allele G: Odds ratio [OR] = 1.30, 95% confidence interval [CI]: 1.05-1.61, P = 0.018; codominant model: P = 0.042; recessive model: OR = 1.70, 95% CI: 1.10-2.62, P = 0.016; log-additive model: OR = 1.34, 95% CI: 1.05-1.71, P = 0.019) and women (dominant model: OR = 2.26, 95% CI: 1.28-3.99, P = 0.004). In addition, rs7865618 was associated with an 8.10-fold increased risk of CHD in women under a recessive model (OR = 8.10, 95% CI: 1.74-37.68, P = 0.006). Interestingly, the haplotype AA (rs10757274 and rs1333042) of CDKN2BAS was associated with decreased the risk of CHD in men (OR = 0.72, 95% CI: 0.55 - 0.95, P = 0.022).

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Section: Discussioncontrasting

confidence: 99%

CDKN2BAS polymorphisms are associated with coronary heart disease risk a Han Chinese population

et al. 2016

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“…One strategy is to evaluate SNPs from EA meta-analyses for association within the target population and retain only those that have at least a marginal effect. SNPs selected in this manner may also be combined with the most highly significant SNPs from smaller ethnicity-specific GWAS meta-analyses (see, for example, [ 14 , 15 ]).…”

Section: Creating Genetic Risk Scoresmentioning

confidence: 99%

Current Applications of Genetic Risk Scores to Cardiovascular Outcomes and Subclinical Phenotypes

et al. 2015

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Genetic risk scores are a useful tool for examining the cumulative predictive ability of genetic variation on cardiovascular disease. Important considerations for creating genetic risk scores include the choice of genetic variants, weighting, and comparability across ethnicities. Genetic risk scores that use information from genome-wide meta-analyses can successfully predict cardiovascular outcomes and subclinical phenotypes, yet there is limited clinical utility of these scores beyond traditional cardiovascular risk factors in many populations. Novel uses of genetic risk scores include evaluating the genetic contribution of specific intermediate traits or risk factors to cardiovascular disease, risk prediction in high-risk populations, gene-by-environment interaction studies, and Mendelian randomization studies. Though questions remain about the ultimate clinical utility of the genetic risk score, further investigation in high-risk populations and new ways to combine genetic risk scores with traditional risk factors may prove to be fruitful.

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“…This is different from previous studies. Previous studies had always showed that weighted GRS had more significantly different than unweighted GRS (23,38,39) . The reason why the results were inconsistent may be the insufficient number of SNP we selected.…”

Section: Discussionmentioning

confidence: 96%

“…variables (23,36,37) . Therefore, we analysed the GRS as the continuous variables and the categorical variables, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…To combine the relatively small effects of individual SNP and to better capture the complex relationship between genetics and the folic acid efficacy, the use of genetic risk score (GRS) has been proposed. There are two common approaches that can be used to determine the genetic risk based on risk-related SNP: (a) simple count genetic risk score (SC-GRS) and (b) weighted genetic risk score (wGRS) (20)(21)(22)(23) .…”

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confidence: 99%

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Prediction model for the efficacy of folic acid therapy on hyperhomocysteinaemia based on genetic risk score methods

Zhang

Liu

et al. 2019

Br J Nutr

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No risk assessment tools for the efficacy of folic acid treatment for hyperhomocysteinaemia (HHcy) have been developed. We aimed to use two common genetic risk score (GRS) methods to construct prediction models for the efficacy of folic acid therapy on HHcy, and the best gene–environment prediction model was screened out. A prospective cohort study enrolling 638 HHcy patients was performed. We used a logistic regression model to estimate the associations of two GRS methods with the efficacy. Performances were compared using area under the receiver operating characteristic curve (AUC). The simple count genetic risk score (SC-GRS) and weighted genetic risk score (wGRS) were found to be independently associated with the efficacy of folic acid treatment for HHcy. Using the SC-GRS, per risk allele increased with a 1·46-fold increased failure risk (P < 0·001) after adjustment for traditional risk factors, including age, sex, BMI, smoking, alcohol consumption, history of diabetes, history of hypertension, history of hyperlipidaemia, history of stroke and history of CHD. When used the wGRS, the association was strengthened (OR = 2·08, P < 0·001). Addition of the SC-GRS and wGRS to the traditional risk model significantly improved the predictive ability by AUC (0·859). A precise gene–environment predictive model with good performance was developed for predicting the treatment failure rate of folic acid therapy for HHcy.

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A multilocus genetic risk score predicts coronary heart disease risk in a Chinese Han population

Cited by 22 publications

References 29 publications

CDKN2BAS polymorphisms are associated with coronary heart disease risk a Han Chinese population

CDKN2BAS polymorphisms are associated with coronary heart disease risk a Han Chinese population

Current Applications of Genetic Risk Scores to Cardiovascular Outcomes and Subclinical Phenotypes

Prediction model for the efficacy of folic acid therapy on hyperhomocysteinaemia based on genetic risk score methods

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