Gout and Type 2 diabetes have a mutual inter-dependent effect on genetic risk factors and higher incidences (original) (raw)
Impact of diabetes against the future risk of developing gout
Annals of The Rheumatic Diseases, 2010
Objective Although hyperuricaemia and gout are associated with an increased future risk of diabetes, diabetes may reduce the future risk of gout through the uricosuric effect of glycosuria or the impaired infl ammatory response. The present work evaluates the impact of diabetes on the future risk of developing gout. Methods A case-control study nested in a UK general practice database (the health improvement network) was conducted by identifying all incident cases of gout (N=24 768) and randomly sampling 50 000 controls who were 20-89 years between 2000 and 2007. The independent effect of type 1 and type 2 diabetes on the development of incident gout was examined. Results After adjusting for age, sex, body mass index, general practitioner visits, smoking, alcohol intake, ischaemic heart disease and presence of cardiovascular risk factors, the RR for incident gout among patients with diabetes, as compared with individuals with no diabetes was 0.67 (95% CI 0.63 to 0.71). The multivariate RRs with the duration of diabetes of 0-3, 4-9 and ≥10 years were 0.81 (95% CI 0.74 to 0.90), 0.67 (95% CI 0.61 to 0.73) and 0.52 (95% CI 0.46 to 0.58), respectively. The inverse association was stronger with type 1 diabetes than with type 2 diabetes (multivariate RR, 0.33 vs 0.69) and stronger among men than women (p value for interaction <0.001).
Arthritis Research & Therapy, 2013
The T allele of a single nucleotide polymorphism (SNP: rs2544390) in lipoprotein receptor-related protein 2 (LRP2) is associated with higher serum urate and risk of gout in Japanese individuals. SNP rs2544390 also interacts with alcohol consumption in determining hyperuricemia in this population. We investigated the association of rs2544390 with gout, and interaction with all types of alcohol consumption in European and New Zealand (NZ) Māori and Pacific subjects, and a Māori study cohort from the East Coast region of NZ's North Island. Methods: Rs2544390 was genotyped by Taqman®. From NZ a total of 1205 controls and 1431 gout cases clinically ascertained were used. Publicly available genotype and serum urate data were utilized from the Atherosclerosis Risk in Communities (ARIC) study and the Framingham Heart Study (FHS). Alcohol consumption data were obtained by consumption frequency questions in all study cohorts. Multivariate adjusted logistic regression was done using STATA.
Interaction of the GCKR and A1CF loci with alcohol consumption to influence the risk of gout
Arthritis Research & Therapy, 2017
Background: Some gout-associated loci interact with dietary exposures to influence outcome. The aim of this study was to systematically investigate interactions between alcohol exposure and urate-associated loci in gout. Methods: A total of 2792 New Zealand European and Polynesian (Māori or Pacific) people with or without gout were genotyped for 29 urate-associated genetic variants and tested for a departure from multiplicative interaction with alcohol exposure in the risk of gout. Publicly available data from 6892 European subjects were used to test for a departure from multiplicative interaction between specific loci and alcohol exposure for the risk of hyperuricemia (HU). Multivariate adjusted logistic and linear regression was done, including an interaction term. Results: Interaction of any alcohol exposure with GCKR (rs780094) and A1CF (rs10821905) influenced the risk of gout in Europeans (interaction term 0.28, P = 1.5 × 10 −4 ; interaction term 0.29, P = 1.4 × 10 −4 , respectively). At A1CF, alcohol exposure suppressed the gout risk conferred by the A-positive genotype. At GCKR, alcohol exposure eliminated the genetic effect on gout. In the Polynesian sample set, there was no experiment-wide evidence for interaction with alcohol in the risk of gout (all P > 8.6 × 10 −4). However, at GCKR, there was nominal evidence for an interaction in a direction consistent the European observation (interaction term 0.62, P = 0.05). There was no evidence for an interaction of A1CF or GCKR with alcohol exposure in determining HU. Conclusions: These data support the hypothesis that alcohol influences the risk of gout via glucose and apolipoprotein metabolism. In the absence of alcohol exposure, genetic variants in the GCKR and A1CF genes have a stronger role in gout.
2010
Background-Elevated serum urate levels can lead to gout and are associated with cardiovascular risk factors. We performed a genome-wide association study to search for genetic susceptibility loci for serum urate and gout and investigated the causal nature of the associations of serum urate with gout and selected cardiovascular risk factors and coronary heart disease (CHD). Methods and Results-Meta-analyses of genome-wide association studies (GWAS) were performed in 5 population-based cohorts of the Cohorts for Heart and Aging Research in Genome Epidemiology consortium for serum urate and gout in 28 283 white participants. The effect of the most significant single-nucleotide polymorphism at all genome-wide significant loci on serum urate was added to create a genetic urate score. Findings were replicated in the Women's Genome Health Study (nϭ22 054). Single-nucleotide polymorphisms at 8 genetic loci achieved genome-wide
Annals of the rheumatic diseases, 2014
Evidence on the potential independent impact of gout on the risk of diabetes is limited to a single study of men with a high cardiovascular risk profile. Our objective was to examine this relation in the general population, particularly among women. We conducted a sex-stratified matched cohort study using data from The Health Improvement Network (THIN), an electronic medical records database representative of the UK general population. Up to five non-gout individuals were matched to each case of incident gout by year of birth, year of enrolment and body mass index (BMI). Multivariate HRs for incident diabetes were calculated after additionally adjusting for smoking, alcohol consumption, physician visits, comorbidities and medication use. Among 35 339 gout patients (72.4% men, mean age of 62.7 years), the incidence rates of diabetes in women and men were 10.1 and 9.5 cases per 1000 person-years, respectively, whereas the corresponding rates were 5.6 and 7.2 cases per 1000 person-year...
Polymorphisms of ABCG2 and SLC22A12 Genes Associated with Gout Risk in Vietnamese Population
Medicina, 2019
Background and objective: Gout is a common form of inflammatory arthritis caused by the crystallization of uric acid. Previous studies have demonstrated that the genetic predisposition of gout varies in different ethnic populations. However the association study of genetic variants with gout remains unknown in the Vietnamese population. Our study aimed to assess the relationship between polymorphisms in ABCG2 and SLC22A12 and gout susceptibility in Vietnamese. Materials and methods: Genomic DNA was extracted from blood of a total of 170 patients with gout and 351 healthy controls. We genotyped single nucleotide polymorphisms (SNPs): rs72552713, rs12505410 of the ABCG2 gene and rs11231825, rs7932775 of the SLC22A12 gene using polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP) and then confirmed 10% of randomly selected subjects by Sanger sequencing. Results: Three SNPs (rs72552713 and rs12505410 and rs11231825) were in accordance with Hardy–Weinberg Equilib...
Journal of Health Science and Medical Research (JHSMR), 2023
Objective: This study aimed to investigate whether the risk of gout was associated with the ABCG2 rs2231142 variant and how this was affected by metabolic parameters. Material and Methods: The subjects were selected from the genetic variations of urate transporter genes in hyperuricemia and gout in the Thai population (GUHGTH) study. Overall, 96 participants aged 30-60 years were included in the study. Adjusted odds ratio (AORs) of gout was analyzed using multiple logistic regression models and the effects of combinations of ABCG2 rs2231142 variants and metabolic parameters on gout were explored. Results: The TG and TT genotypes of ABCG2 rs2231142 and hyperglycemia were significantly associated with gout risk. The risk of gout was significantly increased by the combined association of ABCG2 rs2231142 and metabolic parameters obesity and hyperglycemia for the TG and TT genotypes compared to the GG genotype (wild-type genotype). Conclusion: In conclusion, the ABCG2 rs2231142 variant was found to be a genetic risk factor for gout in Thai men. Obesity and hyperglycemia combined with the ABCG2 rs2231142 risk allele contributed to an increase in the risk of gout. Further case-control studies with larger sample sizes should be performed to confirm the combinations of the ABCG2 rs2231142 variant, obesity, and hyperglycemia on the risk of gout.
Risk Factor Analysis for Gout in the Latvian Population
Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences., 2020
Gout (Gr. podagra) is a multifactorial pathology, which means that both genetic and environmental factors play a role in the aetiology of the disease. For these reasons, revealing risk factors could be of very high importance in prevention and treatment of gout. In the present study, we found that a major role in gout predisposition is played by specific alleles in the ABCG2 gene. The study used survey data for 43 gout patients and 99 healthy control individuals who were genotyped for rs2231142. It was found that allelic variant rs2231142 in the ABCG2 gene had the strongest association with gout. Among other co-factors studied, sex, and increased body mass index were associated with gout.