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. 2017 Nov 10;12(11):e0186669.
doi: 10.1371/journal.pone.0186669. eCollection 2017.

Evaluating the glucose raising effect of established loci via a genetic risk score

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Evaluating the glucose raising effect of established loci via a genetic risk score

Eirini Marouli et al. PLoS One. .

Abstract

Recent genome-wide association studies have identified several single nucleotide polymorphisms (SNPs) associated with glucose levels. We tested the hypothesis here whether the cumulative effect of glucose raising SNPs, assessed via a score, is associated with glucose levels. A total of 1,434 participants of Greek descent from the THISEAS study and 1,160 participants form the GOMAP study were included in this analysis. We developed a genetic risk score (GRS), based on the known glucose-raising loci, in order to investigate the cumulative effect of known glucose loci on glucose levels. In the THISEAS study, the GRS score was significantly associated with increased glucose levels (mmol/L) (β ± SE: 0.024 ± 0.004, P = 8.27e-07). The effect of the genetic risk score was also significant in the GOMAP study (β ± SE: 0.011 ± 0.005, P = 0.031). In the meta-analysis of the two studies both scores were significantly associated with higher glucose levels GRS: β ± SE: 0.019 ± 0.003, P = 1.41e-09. Also, variants at the SLC30A8, PROX1, MTNR1B, ADRA2A, G6PC2, LPIN3 loci indicated nominal evidence for association with glucose levels (p < 0.05). We replicate associations of the established glucose raising variants in the Greek population and confirm directional consistency of effects (binomial sign test p = 6.96e-05). We also demonstrate that the cumulative effect of the established glucose loci yielded a significant association with increasing glucose levels.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Forest plots of the Meta-Analysis results.
Forest plots showing the beta estimates and confidence intervals of the A. GRS and B. wGRS association in the different populations studied in the discovery cohorts and the meta-analysis fixed model results. An inverse variance weighted meta-analysis was performed.
Fig 2
Fig 2. Distribution of individuals in every genotype score group and cumulative effects of the risk alleles from the 36 SNPs for glucose levels.
The bar plots show the average and standard error of glucose in mmol/L for each genotype score group distribution of the genetic risk score.

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