Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0018099 (gout)
 5,192 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Elevated serum uric acid levels cause gout and are a risk factor for cardiovascular disease and diabetes. To investigate the polygenetic basis of serum uric acid levels, we conducted a meta-analysis of genome-wide association scans from 14 studies totalling 28,141 participants of European descent, resulting in identification of 954 SNPs distributed across nine loci that exceeded the threshold of genome-wide significance, five of which are novel. Overall, the common variants associated with serum uric acid levels fall in the following nine regions: SLC2A9 (p = 5.2x10(-201)), ABCG2 (p = 3.1x10(-26)), SLC17A1 (p = 3.0x10(-14)), SLC22A11 (p = 6.7x10(-14)), SLC22A12 (p = 2.0x10(-9)), SLC16A9 (p = 1.1x10(-8)), GCKR (p = 1.4x10(-9)), LRRC16A (p = 8.5x10(-9)), and near PDZK1 (p = 2.7x10(-9)). Identified variants were analyzed for gender differences. We found that the minor allele for rs734553 in SLC2A9 has greater influence in lowering uric acid levels in women and the minor allele of rs2231142 in ABCG2 elevates uric acid levels more strongly in men compared to women. To further characterize the identified variants, we analyzed their association with a panel of metabolites. rs12356193 within SLC16A9 was associated with DL-carnitine (p = 4.0x10(-26)) and propionyl-L-carnitine (p = 5.0x10(-8)) concentrations, which in turn were associated with serum UA levels (p = 1.4x10(-57) and p = 8.1x10(-54), respectively), forming a triangle between SNP, metabolites, and UA levels. Taken together, these associations highlight additional pathways that are important in the regulation of serum uric acid levels and point toward novel potential targets for pharmacological intervention to prevent or treat hyperuricemia. In addition, these findings strongly support the hypothesis that transport proteins are key in regulating serum uric acid levels.
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PMID:Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations. 1950 97

Genetic variation in the SLC2A9 gene is a new genetic risk factor for low fractional excretion of uric acid, hyperuricemia, and gout. Its gene product, GLUT9, was previously known as a type II glucose/fructose transporter but is now known to function as a high-capacity uric acid transporter that is expressed in kidney, liver, and several other tissues. Follow-up meta-analyses, including one with data from 28,141 individuals, implicated a total of nine additional loci influencing serum urate concentrations, including six other membrane transporters (SLC17A1, SLC17A3, SLC22A11, SLC22A12, SLC16A9, and ABCG2). Variants in these genes together account for about 5% of the variance in serum urate, two-thirds of which is due to SLC2A9. Using these variants in 'Mendelian randomization' analyses provides a powerful means of dissecting the role of urate in cardiovascular and metabolic diseases, where cause-and-effect influences are difficult to discern due to potential confounding. The results highlight the complex interplay of membrane transporters involved in urate metabolism. They also show how variants of weak effect identified by genome-wide association studies can still be important in identifying novel pathways, including a 'complexity' of new and potentially druggable targets for modifying urate transport.
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PMID:A 'complexity' of urate transporters. 2061 16

Gout, a common disease, is a consequence of hyperuricemia, and increases the risks of hypertension, cardiovascular diseases, cerebrovascular diseases and renal failure. Gout can be classified into 3 types: the renal underexcretion (RUE) type, renal overload type and combined type. RUE type is a major type of gout; however, its genetic causes are still unclear. Since human organic anion transporter 4 (OAT4/SLC22A11) is expressed in the kidney and mediates urate transport, we investigated the effects of a common variant of OAT4/SLC22A11 on the susceptibility to gout. Five hundred and forty-five Japanese male gout cases and 1,115 male individuals as a control group were genotyped with rs17300741, a single nucleotide polymorphism in the OAT4/SLC22A11 gene. The association analysis of rs17300741 showed no significant association for all gout cases; however, there was a slight but significant association for RUE type gout cases (p = 0.049). These results also suggest that OAT4 contributes to urate transport at the apical membrane of renal proximal tubule cells in humans. Our findings make it clear for the first time that a common variant of OAT4/SLC22A11 is associated with RUE type gout, a major gout subtype.
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PMID:A common variant of organic anion transporter 4 (OAT4/SLC22A11) gene is associated with renal underexcretion type gout. 2402 86

Genome-wide association studies that scan the genome for common genetic variants associated with phenotype have greatly advanced medical knowledge. Hyperuricemia is no exception, with 28 loci identified. However, genetic control of pathways determining gout in the presence of hyperuricemia is still poorly understood. Two important pathways determining hyperuricemia have been confirmed (renal and gut excretion of uric acid with glycolysis now firmly implicated). Major urate loci are SLC2A9 and ABCG2. Recent studies show that SLC2A9 is involved in renal and gut excretion of uric acid and is implicated in antioxidant defense. Although etiological variants at SLC2A9 are yet to be identified, it is clear that considerable genetic complexity exists at the SLC2A9 locus, with multiple statistically independent genetic variants and local epistatic interactions. The positions of implicated genetic variants within or near chromatin regions involved in transcriptional control suggest that this mechanism (rather than structural changes in SLC2A9) is important in regulating the activity of SLC2A9. ABCG2 is involved primarily in extra-renal uric acid under-excretion with the etiological variant influencing expression. At the other 26 loci, probable causal genes can be identified at three (PDZK1, SLC22A11, and INHBB) with strong candidates at a further 10 loci. Confirmation of the causal gene will require a combination of re-sequencing, trans-ancestral mapping, and correlation of genetic association data with expression data. As expected, the urate loci associate with gout, although inconsistent effect sizes for gout require investigation. Finally, there has been no genome-wide association study using clinically ascertained cases to investigate the causes of gout in the presence of hyperuricemia. In such a study, use of asymptomatic hyperurcemic controls would be expected to increase the ability to detect genetic associations with gout.
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PMID:An update on the genetic architecture of hyperuricemia and gout. 2588 45

Gout is one of the most common inflammatory arthritis caused by hyperuricaemia, which is affected by both genetic factors and environmental factors. Early researches show that a few of rare monogenic mutations, such as PRPS1 and HPRT1 mutations, lead to abnormal purine anabolism and then cause hyperuricaemia and gout. In recent years, genome-wide association studies (GWAS) have identified dozens of susceptibility loci and/or candidate genes associated with hyperuricemia and gout. Loss-of-function mutations in SLC2A9, SLC22A11, and SLC22A12 cause hereditary hypouricaemia, while their overexpression may increase the reabsorption of uric acid. In contrast, loss-of-function mutations in ABCG2, SLC17A1, and SLC17A3 cause urate underexcretion of renal and intestinal. These variations leading to blood uric acid excretion disorder (excess reabsorption and underexcretion) are the main genetic factors affecting hyperuicemia and gout. Moreover, to some degree, inhibins-activins growth factor system, transcription factors, cytoskeleton and gene-environment interaction can also affect the level of blood uric acid. In addition, two risk genes, RFX3 and KCNQ1, which might impair immune response and lead to functional deficiency of beta cell were recently discovered to influence hyperuiceamia and gout in Han Chinese. This paper systematically reviews genetic studies on hyperuricaemia and gout to improve our understanding of pathogenesis of hyperuricaemia and gout.
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PMID:Research progress in the genetics of hyperuricaemia and gout. 2710 54

The aim of the present study was to evaluate the contribution of urate transporter genes and alcohol use to the risk of gout/tophi. Eight variants of ABCG2, SLC2A9, SLC22A12, SLC22A11 and SLC17A3 were genotyped in male individuals in a case-control study with 157 gout (33% tophi), 106 asymptomatic hyperuricaemia and 295 control subjects from Taiwan. The multilocus profiles of the genetic risk scores for urate gene variants were used to evaluate the risk of asymptomatic hyperuricaemia, gout and tophi. ABCG2 Q141K (T), SLC2A9 rs1014290 (A) and SLC22A12 rs475688 (C) under an additive model and alcohol use independently predicted the risk of gout (respective odds ratio for each factor=2.48, 2.03, 1.95 and 2.48). The additive composite Q141K, rs1014290 and rs475688 scores of high-risk alleles were associated with gout risk (P<0.0001). We observed the supramultiplicative interaction effect of genetic urate scores and alcohol use on gout and tophi risk (P for interaction=0.0452, 0.0033). The synergistic effect of genetic urate score 5-6 and alcohol use indicates that these combined factors correlate with gout and tophi occurrence.
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PMID:Additive composite ABCG2, SLC2A9 and SLC22A12 scores of high-risk alleles with alcohol use modulate gout risk. 2722 47