| Literature DB >> 26970180 |
Cristina Riobello1, Juan Gómez1, Helena Gil-Peña2, Salvador Tranche3, Julián R Reguero4, Jesús M de la Hera4, Elías Delgado5, David Calvo4, César Morís6, Fernando Santos7, Pablo Coto-Segura8, Sara Iglesias1, Belén Alonso1, Victoria Alvarez1, Eliecer Coto9.
Abstract
Several common KCNQ1 gene polymorphisms have been associated with the risk of type 2 diabetes (T2DM) and diabetic nephropathy. This effect is explained by the role of the kcnq1 protein as a potassium channel that in the pancreatic beta-cells drives an electrical signal that facilitates glucose-stimulated insulin secretion. The KCNQ1 gene is also expressed in the kidney, and could thus be implicated in the risk of developing impaired renal function. To test this hypothesis, we genotyped six common KCNQ1 gene variants (three single nucleotide polymorphisms, rs2237892, rs2237895, and rs231362, and three intronic indels) in 681 healthy elderly individuals (>65 years old) from the Spanish Renastur cohort. None of the six variants was associated with T2DM (180 diabetics vs. 581 non-diabetics). The intron 12 insertion allele was associated with a reduced estimated glomerular filtration rate (eGFR<60, n = 90 vs. eGFR≥60, n = 591; II vs ID + DD genotypes, p = 0.031, OR = 2.06, 95%CI = 1.12-4.14). We also performed a next generation sequencing search of variants in the coding regions of the KCNQ1 gene in 100 individuals with the extreme eGFR values. We found two rare amino acid changes (p.K393N and p.P408A) and the 393 Asn variant was found only among diabetics (n = 4; p = 0.05). The two rare alleles were present in the two eGFR groups. Our results suggest that a common KCNQ1 intron 12 indel polymorphism is a risk factor for impaired renal function independent of T2DM. If this association is confirmed by others, further research to determine the mechanism that drives this association would be warranted.Entities:
Keywords: Estimated glomerular filtration rate; Gene polymorphisms; KCNQ1 gene; Next generation sequencing; Potassium channels; Type 2 diabetes
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Year: 2016 PMID: 26970180 DOI: 10.1016/j.mce.2016.03.007
Source DB: PubMed Journal: Mol Cell Endocrinol ISSN: 0303-7207 Impact factor: 4.102