(HealthDay News) — Routinely measured lipid fractions may be associated with the risk of coronary artery disease (CAD) and diabetes, according to a study published online Aug. 3 in JAMA Cardiology.

Jon White, Ph.D., from University College London, and colleagues examined the correlation of three routinely measured lipid fractions with CAD and diabetes. Data from genome-wide association studies were used to construct genetic instruments, which were applied to examine the correlations between lipid fractions and the risk of CAD and diabetes using mendelian randomization (MR) approaches that accounted for pleiotropy of genetic instruments.

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The researchers found that genetic instruments composed of 130 single-nucleotide polymorphisms (SNPs) were used for low-density lipoprotein cholesterol (LDL-C), 140 SNPs for high-density lipoprotein cholesterol (HDL-C), and 140 SNPs for triglycerides (TGs), accounting for 7.9, 6.6, and 5.9 percent of variance, respectively. Higher CAD risk was seen for a 1-standard deviation (SD) genetically instrumented elevation in LDL-C and TG levels (odds ratios, 1.68 and 1.28, respectively). All three lipid traits correlated with a reduced risk of type 2 diabetes, with odds ratios of 0.79 and 0.83 for LDL-C and HDL-C per 1-SD elevation. The MR estimates for diabetes were inconsistent for TGs.

“Routinely measured lipid fractions exhibit contrasting associations with the risk of CAD and diabetes,” the authors write. “This information will be relevant to the design of clinical trials of lipid-modifying agents, which should carefully monitor participants for dysglycemia and the incidence of diabetes.”

Two authors disclosed financial ties to the pharmaceutical industry. The REVEAL trial was funded by Merck Sharp & Dohme Corp.

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