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. 2014 Dec;237(2):639-44.
doi: 10.1016/j.atherosclerosis.2014.10.005. Epub 2014 Oct 24.

Joint effect of insulin signaling genes on all-cause mortality

Affiliations

Joint effect of insulin signaling genes on all-cause mortality

Claudia Menzaghi et al. Atherosclerosis. 2014 Dec.

Abstract

Objective: We have previously reported the combined effect of SNPs perturbing insulin signaling (ENPP1 K121Q, rs1044498; IRS1 G972R, rs1801278; TRIB3 Q84R, rs2295490) on insulin resistance (IR), type 2 diabetes (T2D) and cardiovascular events. We here investigated whether such a combined effect affects also all-cause mortality in a sample of 1851 Whites of European ancestry.

Methods: We investigated a first sample of 721 patients, 232 deaths, 3389 person-years (py). Replication was assessed in two samples of patients with T2D: the Gargano Mortality Study (GMS) of 714 patients, 127 deaths, 5426 py and the Joslin Kidney Study (JKS) comprising 416 patients, 214 deaths, 5325 py.

Results: In the first sample, individuals carrying 1 or ≥ 2 risk alleles had 33% (p = 0.06) and 51% (p = 0.02) increased risk of mortality, as compared with individuals with no risk alleles. A similar, though not significant, trend was obtained in the two replication samples only for subject carrying ≥ 2 risk alleles. In a pooled analysis, individuals carrying ≥ 2 risk alleles had higher mortality rate as compared to those carrying 0 risk alleles (HR = 1.34, 95%CI = 1.08-1.67; p = 0.008), and as compared to those carrying only one risk allele (HR = 1.41, 95%CI = 1.13-1.75; p = 0.002). This association was independent from several possible confounders including sex, age, BMI, hypertension and diabetes status.

Conclusion: Our data suggest that variants affecting insulin signaling exert a joint effect on all-cause mortality and is consistent with a role of abnormal insulin signaling on mortality risk.

Keywords: ENPP1; IRS1; Prospective study; TRIB3.

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Conflict of interest statement

Competing interests

No potential conflicts of interest relevant to this article were reported.

Figures

Figure 1
Figure 1
Forest plots of random effects meta-analysis of HRs estimates according to individuals with ≥ 2 risk alleles vs individuals with 0 risk allele. Figure 1A: meta-analysis was carried out on GHS, TVAS, CREED, GMS and JKS; Figure 1B: meta-analysis was carried out on GHS, CREED, GMS and JKS.
Figure 2
Figure 2
Hazard ratios (95% CI) of all-cause mortality in all samples according to genotype risk alleles. Hazard ratios were estimated by Cox regression after adjusting for all five study cohorts.

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