We conducted a genome-wide association study using 207,097 SNP markers in Japanese individuals with type 2 diabetes and unrelated controls, and identified KCNQ1 (potassium voltage-gated channel, KQT-like subfamily, member 1) to be a strong candidate for conferring susceptibility to type 2 diabetes. We detected consistent association of a SNP in KCNQ1 (rs2283228) with the disease in several independent case-control studies (additive model P = 3.1 x 10(-12); OR = 1.26, 95% CI = 1.18-1.34). Several other SNPs in the same linkage disequilibrium (LD) block were strongly associated with type 2 diabetes (additive model: rs2237895, P = 7.3 x 10(-9); OR = 1.32, 95% CI = 1.20-1.45, rs2237897, P = 6.8 x 10(-13); OR = 1.41, 95% CI = 1.29-1.55). The association of these SNPs with type 2 diabetes was replicated in samples from Singaporean (additive model: rs2237895, P = 8.5 x 10(-3); OR = 1.14, rs2237897, P = 2.4 x 10(-4); OR = 1.22) and Danish populations (additive model: rs2237895, P = 3.7 x 10(-11); OR = 1.24, rs2237897, P = 1.2 x 10(-4); OR = 1.36).

OBJECTIVE The potassium voltage-gated channel, KQT-like subfamily, member 1 ( KCNQ1 ) has been found through a genome-wide association study to be a strong candidate for conferring susceptibility to type 2 diabetes in East Asian and European populations. Our objective was to describe the association between polymorphisms at the KCNQ1 locus with insulin resistance, β-cell function, and other type 2 diabetes–related traits in a sample of Chinese, Malays, and Asian Indians living in Singapore. RESEARCH DESIGN AND METHODS We examined the associations between four previously reported KCNQ1 single-nucleotide polymorphisms (SNPs) with type 2 diabetes–related traits in 3,734 participants from the population-based 1998 Singapore National Health Survey cohort (2,520 Chinese, 693 Malay, and 521 Asian Indians). Insulin resistance was calculated from fasting insulin and glucose using the homeostasis model assessment method, whereas pancreatic β-cell function was assessed using the corrected insulin response at 120 min (CIR 120 ). RESULTS SNPs rs2237897, rs2237892, and rs2283228 were significantly associated with type 2 diabetes (odds ratio [OR] 1.48, P = 3 × 10 −4 ; OR 1.38, P = 0.002; OR 1.31, P = 0.012, respectively). Within the Chinese population, the risk alleles for rs2237897, rs2237892, and rs2283228 were significantly associated with higher fasting glucose levels ( P = 0.014, 0.011, and 0.034, respectively) and reduced CIR 120 ( P = 0.007, 0.013, and 0.014, respectively). A similar trend was observed among the Malay and Asian Indian minority groups, although this did not reach statistical significance because of limited sample sizes. CONCLUSIONS The increased risk for type 2 diabetes associated with KCNQ1 is likely to be caused by a reduction in insulin secretion. Further studies will be useful to replicate these findings and to fully delineate the role of KCNQ1 and its related pathways in disease pathogenesis.

Nephrinuria was associated with multiple renal traits in type 2 diabetes even in normoalbuminuric patients who are traditionally perceived as having a low risk of chronic kidney disease.

The human chromosome 7p21 locus harbors a major gene that influences variation of glomerular filtration rate and development of end-stage renal disease. The pro-inflammatory IL-6 cytokine is a candidate gene since chronic inflammation has been implicated in diabetic nephropathy and this gene is located under the peak of linkage. To test this, single nucleotide polymorphism (SNP) and haplotype analyses were performed using a case-control study of 295 patients consisting of 138 with proteinuria, 157 with chronic renal failure and these were compared to 174 control patients with normal albumin excretion. Five tagging SNPs were selected for analysis based on linkage disequilibrium patterns and proximity to the functionally important -634G>C SNP in the IL-6 promoter. Initial analysis suggested that a -174G>C polymorphism may be associated with risk of chronic renal failure but this was not significant after Bonferroni correction. While haplotype analyses showed no association with proteinuria; a significant association with chronic renal failure was found. There was significantly more of the GGGAGC haplotype among patients with chronic renal failure compared to controls and this association remained significant even after correction for multiple testing. Our study has found a specific IL-6 haplotype conferring risk for impaired renal function in patients with type 2 diabetes.