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Insulin resistance-associated genetic variants in type 1 diabetes.
- Source :
-
Journal of diabetes and its complications [J Diabetes Complications] 2021 Apr; Vol. 35 (4), pp. 107842. Date of Electronic Publication: 2021 Jan 09. - Publication Year :
- 2021
-
Abstract
- Aims: To examine candidate insulin resistance single nucleotide polymorphisms (SNPs) for associations with glycemic control, insulin resistance, BMI, and complications in an observational type 1 diabetes (T1D) cohort: the Pittsburgh Epidemiology of Diabetes Complications (EDC) study.<br />Methods: In 422 European-ancestry participants, we assessed associations using additive models between 15 candidate SNPs and 25-year mortality, cardiovascular disease, microalbuminuria, overt nephropathy and proliferative retinopathy, and 25-year mean HbA1c, estimated glucose disposal rate (eGDR, inverse measure of insulin resistance), and BMI.<br />Results: The A allele of rs12970134 was associated with higher mean HbA1c (β = +0.34 ± 0.09, p = 0.00009) and nominally associated with worse eGDR (p = 0.02). Further analyses suggest the HbA1c association may be modified by diabetes therapy regimen: rs12970134 AA genotype was associated with higher HbA1c under non-intensive therapy conditions (<3 insulin injections/day or monitoring blood glucose<3 times/day [p = 0.004]), but not under intensive therapy (≥3 injections/day or insulin pump and monitoring glucose≥3 times/day [p = 0.71]). There were no significant associations between any SNPs and BMI or complications.<br />Conclusions: rs12970134, near MC4R, is strongly associated with HbA1c in this cohort. Further exploration of this genomic region is warranted, as it may hold promise for discovering new therapeutic targets to improve glycemic control in T1D.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-460X
- Volume :
- 35
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of diabetes and its complications
- Publication Type :
- Academic Journal
- Accession number :
- 33468396
- Full Text :
- https://doi.org/10.1016/j.jdiacomp.2020.107842