| 1. |
- Leusink, M., et al.
(author)
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Cholesteryl Ester Transfer Protein Polymorphisms, Statin Use, and Their Impact on Cholesterol Levels and Cardiovascular Events
- 2014
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In: Clinical Pharmacology & Therapeutics. - : Springer Science and Business Media LLC. - 0009-9236 .- 1532-6535. ; 95:3, s. 314-320
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Journal article (peer-reviewed)abstract
- The association of nonfunctional variants of the cholesteryl ester transfer protein (CETP) with efficacy of statins has been a subject of debate. We evaluated whether three functional CETP variants influence statin efficacy. The effect of CETP genotype on achieved levels of high-density lipoprotein cholesterol (HDLc), low-density lipoprotein cholesterol (LDLc), and total cholesterol during statin treatment was estimated by meta-analysis of the linear regression outcomes of three studies (11,021 individuals). The effect of these single-nucleotide polymorphisms (SNPs) on statin response in protecting against myocardial infarction (MI) was estimated by meta-analysis of statin x SNP interaction terms from logistic regression in five studies (16,570 individuals). The enhancer SNP rs3764261 significantly increased HDLc by 0.02 mmol/l per T allele (P = 6 x 10-5) and reduced protection against MI by statins (interaction odds ratio (OR) = 1.19 per T allele; P = 0.04). Focusing on functional CETP variants, we showed that in carriers of the rs3764261 T variant, HDLc increased more during statin treatment, and protection against MI by statins appeared to be reduced as compared with those in noncarriers.
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| 2. |
- Crosby, Jacy, et al.
(author)
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Loss-of-Function Mutations in APOC3, Triglycerides, and Coronary Disease
- 2014
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In: New England Journal of Medicine. - 0028-4793 .- 1533-4406. ; 371:1, s. 22-31
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Journal article (peer-reviewed)abstract
- Background Plasma triglyceride levels are heritable and are correlated with the risk of coronary heart disease. Sequencing of the protein-coding regions of the human genome (the exome) has the potential to identify rare mutations that have a large effect on phenotype. Methods We sequenced the protein-coding regions of 18,666 genes in each of 3734 participants of European or African ancestry in the Exome Sequencing Project. We conducted tests to determine whether rare mutations in coding sequence, individually or in aggregate within a gene, were associated with plasma triglyceride levels. For mutations associated with triglyceride levels, we subsequently evaluated their association with the risk of coronary heart disease in 110,970 persons. Results An aggregate of rare mutations in the gene encoding apolipoprotein C3 (APOC3) was associated with lower plasma triglyceride levels. Among the four mutations that drove this result, three were loss-of-function mutations: a nonsense mutation (R19X) and two splice-site mutations (IVS2+1G -> A and IVS3+1G -> T). The fourth was a missense mutation (A43T). Approximately 1 in 150 persons in the study was a heterozygous carrier of at least one of these four mutations. Triglyceride levels in the carriers were 39% lower than levels in noncarriers (P<1x10(-20)), and circulating levels of APOC3 in carriers were 46% lower than levels in noncarriers (P = 8x10(-10)). The risk of coronary heart disease among 498 carriers of any rare APOC3 mutation was 40% lower than the risk among 110,472 noncarriers (odds ratio, 0.60; 95% confidence interval, 0.47 to 0.75; P = 4x10(-6)). Conclusions Rare mutations that disrupt APOC3 function were associated with lower levels of plasma triglycerides and APOC3. Carriers of these mutations were found to have a reduced risk of coronary heart disease. (Funded by the National Heart, Lung, and Blood Institute and others.)
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| 3. |
- Zhou, Kaixin, et al.
(author)
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Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis.
- 2014
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In: The Lancet Diabetes & Endocrinology. - 2213-8595. ; 2:6, s. 481-487
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Journal article (peer-reviewed)abstract
- Metformin is a first-line oral agent used in the treatment of type 2 diabetes, but glycaemic response to this drug is highly variable. Understanding the genetic contribution to metformin response might increase the possibility of personalising metformin treatment. We aimed to establish the heritability of glycaemic response to metformin using the genome-wide complex trait analysis (GCTA) method.
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