X L Lim1, S Nurbaya, A Salim, E S Tai, S Maeda, Y Nakamura, D P K Ng. 1. Department of Epidemiology and Public Health, Yong Loo Lin School of Medicine, National University of Singapore, 16 Medical Drive MD3, 117597 Singapore, Republic of Singapore.
Abstract
AIMS/HYPOTHESIS: A Japanese study had earlier reported that KCNQ1 single-nucleotide polymorphisms (SNPs) may be associated with diabetic nephropathy. To further investigate this finding, we analysed three SNPs, rs2237895, rs2237897 and rs2283228, within the KCNQ1 locus for association with albuminuria among Chinese type 2 diabetic patients residing in Singapore. Albuminuria was analysed as both categorical (micro- and macroalbuminuria) and continuous traits (log(e) albumin/creatinine ratio [ACR]). METHODS: A total of 752 Chinese patients with type 2 diabetes were included in the study. Albuminuria was determined by ACR using spot urine samples, and renal function was approximated using estimated GFR. Genotyping was performed using invader and Taqman assays as appropriate. Multivariate regression analyses were used to analyse the associations between SNPs and renal traits. RESULTS: Significant associations were detected between rs2283228 and macroalbuminuria (p < 0.001, corrected p < 0.01), as well as log(e) ACR (p = 0.004, corrected p = 0.036) after multiple hypothesis testing and adjustment for potential confounding. A trend of increasing OR was observed with increasing severity of diabetic nephropathy (low and high microalbuminuria, macroalbuminuria). rs2237897, previously implicated in the earlier Japanese study, was also associated with macroalbuminuria, but this finding did not remain significant after correction for multiple testing. Meta-analyses of the Chinese and Japanese studies revealed both SNPs to be significantly associated with macroalbuminuria. CONCLUSIONS/ INTERPRETATION: Together with the previous Japanese study, our findings support the hypothesis that, in addition to KCNQ1 being an established type 2 diabetes gene, genetic variation in this gene may contribute to susceptibility to diabetic nephropathy in East Asians.
AIMS/HYPOTHESIS: A Japanese study had earlier reported that KCNQ1 single-nucleotide polymorphisms (SNPs) may be associated with diabetic nephropathy. To further investigate this finding, we analysed three SNPs, rs2237895, rs2237897 and rs2283228, within the KCNQ1 locus for association with albuminuria among Chinese type 2 diabeticpatients residing in Singapore. Albuminuria was analysed as both categorical (micro- and macroalbuminuria) and continuous traits (log(e) albumin/creatinine ratio [ACR]). METHODS: A total of 752 Chinese patients with type 2 diabetes were included in the study. Albuminuria was determined by ACR using spot urine samples, and renal function was approximated using estimated GFR. Genotyping was performed using invader and Taqman assays as appropriate. Multivariate regression analyses were used to analyse the associations between SNPs and renal traits. RESULTS: Significant associations were detected between rs2283228 and macroalbuminuria (p < 0.001, corrected p < 0.01), as well as log(e) ACR (p = 0.004, corrected p = 0.036) after multiple hypothesis testing and adjustment for potential confounding. A trend of increasing OR was observed with increasing severity of diabetic nephropathy (low and high microalbuminuria, macroalbuminuria). rs2237897, previously implicated in the earlier Japanese study, was also associated with macroalbuminuria, but this finding did not remain significant after correction for multiple testing. Meta-analyses of the Chinese and Japanese studies revealed both SNPs to be significantly associated with macroalbuminuria. CONCLUSIONS/ INTERPRETATION: Together with the previous Japanese study, our findings support the hypothesis that, in addition to KCNQ1 being an established type 2 diabetes gene, genetic variation in this gene may contribute to susceptibility to diabetic nephropathy in East Asians.
Authors: Miyang Luo; Linda Wei Lin Tan; Xueling Sim; Milly Khiam Hoon Ng; Rob Van Dam; E Shyong Tai; Kee Seng Chia; Wern Ee Tang; Darren Ej Seah; Kavita Venkataraman Journal: BMJ Open Date: 2020-05-30 Impact factor: 2.692