Multiple less common genetic variants explain the association of the cholesteryl ester transfer protein gene with coronary artery disease

Association of cholesteryl ester transfer protein (CETP) gene polymorphism, high density lipoprotein cholesterol and risk of coronary artery disease: a meta-analysis using a Mendelian randomization approach

BACKGROUND

Recent randomized controlled trials have challenged the concept that increased high density lipoprotein cholesterol (HDL-C) levels are associated with coronary artery disease (CAD) risk reduction. The causal role of HDL-C in the development of atherosclerosis remains unclear. To increase precision and to minimize residual confounding, we exploited the cholesteryl ester transfer protein (CETP)-TaqIB polymorphism as an instrument based on Mendelian randomization.

METHODS

The Mendelian randomization analysis was performed by two steps. First, we conducted a meta-analysis of 47 studies, including 23,928 cases and 27,068 controls, to quantify the relationship between the TaqIB polymorphism and the CAD risk. Next, the association between the TaqIB polymorphism and HDL-C was assessed among 5,929 Caucasians. We further employed Mendelian randomization to evaluate the causal effect of HDL-C on CAD based on the findings from the meta-analysis.

RESULTS

The overall comparison of the B2 allele with the B1 allele yielded a significant risk reduction of CAD (P < 0.0001; OR = 0.88; 95% CI: 0.84-0.92) with substantial between-study heterogeneity (I² = 55.2%; P(heterogeneity) <0.0001). The result was not materially changed after excluding the Hardy-Weinberg Equilibrium (HWE)-violation studies. Compared with B1B1 homozygotes, Caucasian carriers of the B2 allele had a 0.25 mmol/L increase in HDL-C level (95% CI: 0.20-0.31; P <0.0001; I² = 0; P(heterogeneity) =0.87). However, a 1 standard deviation (SD) elevation in HDL-C levels due to the TaqIB polymorphism, was marginal associated with CAD risk (OR =0.79; 95% CI: 0.54-1.03; P =0.08).

CONCLUSIONS

Taken together, our results lend support to the concept that increased HDL-C cannot be translated into a reduction in CAD risk.

A rare variant at the KYNU gene is associated with kynureninase activity and essential hypertension in the Han Chinese population

BACKGROUND

Genetic studies in mouse and human suggest that kynureninase activity may influence blood pressure and renal function. The gene coding kynureninase (KYNU) is also located on chromosome band 2q14-q23, where a linkage peak for essential hypertension was previously detected in the Chinese Han population.

METHODS AND RESULTS

After having found no association with common polymorphisms, this study aimed to assess the role of 1 rare variant of KYNU, Arg188Gln, and kynureninase activity in relation to hypertension. Thirty-three of 1124 Chinese patients with hypertension were heterozygous for Arg188Gln, whereas only 14 of 1084 normotensive controls were heterozygous for Arg188Gln (188G1n allele frequency, 0.015 versus 0.006; P=0.0075). A genotype-discordant sibling-pair study was performed in another 924 individuals from 213 families, indicating that 188G1n carriers had higher systolic blood pressure (168.29 ± 24.67 versus 139.00 ± 12.82 mm Hg, P<0.001) and diastolic blood pressure (105.50 ± 14.08 versus 90.75 ± 11.07 mm Hg, P=0.001) than did Arg188 homozygous siblings. The Arg188Gln variant was found to be rarer in 2 other ethnic groups (3 heterozygous among 880 hypertensive French whites and 0 of 90 black Africans with hypertension). The kynureninase activity in plasma was correlated with blood pressure in subjects from hypertensive families (P<0.05). The Kinetic Michaelis constants of 188Gln carriers was lower than that of Arg188 homozygous subjects (0.05 ± 0.02 versus 0.10 ± 0.02 mmol/L, P=0.005). Arg188Gln mutation in vitro also showed less catalytic efficiency than the wild-type KYNU enzyme (maximal reaction velocity/Kinetic Michaelis constant ratio, 0.050 ± 0.012 versus 0.11 ± 0.016 mL/min per mg; P=0.029).

CONCLUSIONS

The results show that the rare KYNU variant Arg188Gln affects kynureninase activity and are consistent with the hypothesis that this mutation can predispose to essential hypertension.

Vitamin D receptor gene as a candidate gene for Parkinson disease

Vitamin D and vitamin D receptor (VDR) have been postulated as environmental and genetic factors in neurodegeneration disorders including multiple sclerosis (MS), Alzheimer disease (AD), and recently Parkinson disease (PD). Given the sparse data on PD, we conducted a two-stage study to evaluate the genetic effects of VDR in PD. In the discovery stage, 30 tagSNPs in VDR were tested for association with risk as a discrete trait and age-at-onset (AAO) as a quantitative trait in 770 Caucasian PD families. In the validation stage, 18 VDR SNPs were tested in an independent Caucasian cohort (267 cases and 267 controls) constructed from a genome-wide association study (GWAS). In the discovery dataset, SNPs in the 5' end of VDR were associated with both risk and AAO with more significant evidence of association with AAO (P= 0.0008-0.02). These 5' SNPs were also associated with AD in another study. In the validation dataset, SNPs in the 3' end of VDR were associated with AAO (P= 0.003) but not risk. The 3' end SNP has been associated with both MS and AD in previous studies. Our findings suggest VDR as a potential susceptibility gene and support an essential role of vitamin D in PD.

Joint effects of common genetic variants from multiple genes and pathways on the risk of premature coronary artery disease

OBJECTIVE

The aim of this study is to discover common variants in 6 lipid metabolic genes and construct and validate a genetic risk score (GRS) based on the joint effects of genetic variants in multiple genes from lipid and other pathobiologic pathways.

BACKGROUND

Explaining the genetic basis of coronary artery disease (CAD) is incomplete. Discovery and aggregation of genetic variants from multiple pathways may advance this objective.

METHODS

Premature CAD cases (n = 1,947) and CAD-free controls (n = 1,036) were selected from our angiographic registry. In a discovery phase, single nucleotide polymorphisms (SNPs) at 56 loci from internal discovery and external reports were tested for associations with biomarkers and CAD: 28 promising SNPs were then tested jointly for CAD associations, and a GRS consisting of SNPs contributing independently was constructed and validated in a replication set of familial cases and population-based controls (n = 1,320).

RESULTS

Five variants contributed jointly to CAD prediction in a multigenic GRS model: odds ratio 1.24 (95% CI 1.16-1.33) per risk allele, P = 8.2 x 10(-11), adjusted OR 2.03 (1.53-2.70), fourth versus first quartile. 5-SNP genetic risk score had minor impact on area under the receiver operating characteristic curve (P > .05) but resulted in substantial net reclassification improvement: 0.16 overall, 0.28 in intermediate-risk patients (both P < .0001). GRS(5) predicted familial CAD with similar magnitude in the validation set.

CONCLUSIONS

The Intermountain Healthcare's Coronary Genetics study demonstrates the ability of a multigenic, multipathway GRS to improve discrimination of angiographic CAD. Genetic risk scores promise to increase understanding of the genetic basis of CAD and improve identification of individuals at increased CAD risk.

Gene-environment interactions of CETP gene variation in a high cardiovascular risk Mediterranean population

Genome-wide association studies show that cholesteryl ester transfer protein (CETP) single nucleotide polymorphisms (SNPs) are more strongly associated with HDL cholesterol (HDL-C) concentrations than any other loci across the genome. However, gene-environment interactions for clinical applications are still largely unknown. We studied gene-environment interactions between CETP SNPs and dietary fat intake, adherence to the Mediterranean diet, alcohol consumption, smoking, obesity, and diabetes on HDL-C in 4,210 high cardiovascular risk subjects from a Mediterranean population. We focused on the -4,502C>T and the TaqIB SNPs in partial linkage disequilibrium (D'= 0.88; P < 0.001). They were independently associated with higher HDL-C (P < 0.001); this clinically relevant association was greater when their diplotype was considered (14% higher in TT/B2B2 vs. CC/B1B1). No gene-gene interaction was observed. We also analyzed the association of these SNPs with blood pressure, and no clinically relevant associations were detected. No statistically significant interactions of these SNPs with obesity, diabetes, and smoking in determining HDL-C concentrations were found. Likewise, alcohol, dietary fat, and adherence to the Mediterranean diet did not statistically interact with the CETP variants (independently or as diplotype) in determining HDL-C. In conclusion, the strong association of the CETP SNPs and HDL-C was not statistically modified by diet or by the other environmental factors.

Validation study of genetic associations with coronary artery disease on chromosome 3q13-21 and potential effect modification by smoking

The CATHGEN study reported associations of chromosome 3q13-21 genes (KALRN, MYLK, CDGAP, and GATA2) with early-onset coronary artery disease (CAD). This study attempted to independently validate those associations. Eleven single nucleotide polymorphisms (SNPs) were examined (rs10934490, rs16834817, rs6810298, rs9289231, rs12637456, rs1444768, rs1444754, rs4234218, rs2335052, rs3803, rs2713604) in patients (N = 1618) from the Intermountain Heart Collaborative Study (IHCS). Given the higher smoking prevalence in CATHGEN than IHCS (41% vs. 11% in controls, 74% vs. 29% in cases), smoking stratification and genotype-smoking interactions were evaluated. Suggestive association was found for GATA2 (rs2713604, p = 0.057, OR = 1.2). Among smokers, associations were found in CDGAP (rs10934490, p = 0.019, OR = 1.6) and KALRN (rs12637456, p = 0.011, OR = 2.0) and suggestive association was found in MYLK (rs16834871, p = 0.051, OR = 1.8, adjusting for gender). No SNP association was found among non-smokers, but smoking/SNP interactions were detected for CDGAP (rs10934491, p = 0.017) and KALRN (rs12637456, p = 0.010). Similar differences in SNP effects by smoking status were observed on re-analysis of CATHGEN. CAD associations were suggestive for GATA2 and among smokers significant post hoc associations were found in KALRN, MYLK, and CDGAP. Genetic risk conferred by some of these genes may be modified by smoking. Future CAD association studies of these and other genes should evaluate effect modification by smoking.

Creating a genetic risk score for coronary artery disease

Coronary artery disease (CAD) and its sequelae represent a significant health burden. Over the past two decades, numerous studies have attempted to link DNA sequence variation with the risk of CAD and related phenotypes. There has been significant evolution in technology from the early linkage studies within kindreds, and now we are able to use high-density genotyping to facilitate large-scale genome-wide association studies. The first novel genetic risk factor for CAD, 9p21.3, has been confirmed, and other loci are awaiting replication studies. The relative importance of each locus from a global standpoint and the incremental information conferred by testing for genetic variants remain to be determined.

SimHap GUI: an intuitive graphical user interface for genetic association analysis

Background

Researchers wishing to conduct genetic association analysis involving single nucleotide polymorphisms (SNPs) or haplotypes are often confronted with the lack of user-friendly graphical analysis tools, requiring sophisticated statistical and informatics expertise to perform relatively straightforward tasks. Tools, such as the SimHap package for the R statistics language, provide the necessary statistical operations to conduct sophisticated genetic analysis, but lacks a graphical user interface that allows anyone but a professional statistician to effectively utilise the tool.

Results

We have developed SimHap GUI, a cross-platform integrated graphical analysis tool for conducting epidemiological, single SNP and haplotype-based association analysis. SimHap GUI features a novel workflow interface that guides the user through each logical step of the analysis process, making it accessible to both novice and advanced users. This tool provides a seamless interface to the SimHap R package, while providing enhanced functionality such as sophisticated data checking, automated data conversion, and real-time estimations of haplotype simulation progress.

Conclusion

SimHap GUI provides a novel, easy-to-use, cross-platform solution for conducting a range of genetic and non-genetic association analyses. This provides a free alternative to commercial statistics packages that is specifically designed for genetic association analysis.

Association of variation in the chromosome 9p21 locus with myocardial infarction versus chronic coronary artery disease

BACKGROUND

A chromosome 9p21 locus is associated with coronary heart disease in 25 independent populations, but multiple clinically distinct phenotypes have been evaluated. Using angiographic coronary artery disease (CAD) phenotyping, this study evaluated whether 9p21 single-nucleotide polymorphisms predict ischemic events (eg, myocardial infarction [MI]) among CAD patients.

METHODS AND RESULTS

Patients undergoing coronary angiography during 1994 to 2007 (population set 1A: n=1748; set 1B: n=1014) were evaluated for association of a 9p21 tagging single-nucleotide polymorphism (rs2383206, A 224 G) with incident MI and death events among patients with angiographically significant CAD. Another hypothesis evaluated rs2383206 in 2 additional angiographic sets of both CAD and non-CAD patients (set 2A: n=2122; set 2B: n=1466) for prevalent MI versus CAD/no MI (and for MI versus non-CAD and CAD/no MI versus non-CAD). No association of rs2383206 was found with events in set 1A (odds ratio, 0.95 per G allele; P trend=0.48) and set 1B (odds ratio, 0.91 per G allele; P trend=0.28) or with MI versus CAD/no MI in set 2A (odds ratio, 0.96 per G allele; P trend=0.57) and set 2B (odds ratio, 0.89 per G allele; P trend=0.21). In contrast, rs2383206 was associated with CAD/no MI compared with non-CAD (set 2A: P trend=0.0001; set 2B: P trend=0.0008).

CONCLUSIONS

The chromosome 9p21 locus was not associated with incident events or prevalent MI, although it did predict CAD diagnosis. This contradicts reports of a 9p21 association with MI, likely because of differences in phenotype assignment. This suggests that high-quality phenotyping for CAD and MI is required to dissect the specific contributions of genetic variation to each stage of coronary heart disease pathophysiology.

Search for type 2 diabetes susceptibility genes on chromosomes 1q, 3q and 12q

To systematically evaluate genetic susceptibility to type 2 diabetes (T2D) in "candidate" regions on chromosomes 1q, 3q and 12q, we examined disease association by using a total of 2,083 SNPs in two-step screening; a screening panel comprised 473 cases and 285 controls and an extended (or combined) panel involved 658 cases and 474 controls. For the total interval screened (40.9 Mb), suggestive evidence of association was provided for several annotated gene loci. For example, in the MCF2L2 gene on 3q, a significant association (a nominal P value of 0.00009) was observed when logistic regression analysis was performed for three associated SNPs (rs684846, rs35069869 and rs35368790) that belonged to different LD groups. Also, in the SLC15A4 gene on 12q, rs3765108 showed a marginally significant association with an overall estimated odds ratio of 0.79 (P=0.001). No significant association was found for known candidate gene loci on 3q, such as ADIPOQ and IGF2BP2. Using the available samples, we have observed disease associations of SNPs derived from two novel gene loci in the Japanese population through high-density searches of diabetes susceptibility in three chromosomal regions. Independent replication will clarify the etiological relevance of these genomic loci to T2D.