ReviewNature reviews. Rheumatology2012
The genetics of hyperuricaemia and gout.
Review in Nature reviews. Rheumatology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
110 citing papers in PubMed, 5 syntheses or guidelines pooled it, 246 citations in OpenAlex.
- Genome-wide meta-analysis revealed several genetic loci associated with serum uric acid levels in Korean population: an analysis of Korea Biobank data.Journal of human genetics · 2022Pooled it
- Pooled it
- Genome-wide meta-analysis identifies multiple novel loci associated with serum uric acid levels in Japanese individuals.Communications biology · 2019Pooled it
- Fructose intake and risk of gout and hyperuricemia: a systematic review and meta-analysis of prospective cohort studies.BMJ open · 2016Pooled it
- Association between SLC2A9 (GLUT9) gene polymorphisms and gout susceptibility: an updated meta-analysis.Rheumatology international · 2016Pooled it
- Pharmacokinetics, Pharmacodynamics, and Tolerability of Concomitant Administration of Verinurad and Febuxostat in Healthy Male Volunteers.Clinical pharmacology in drug development · 2019Trial
- Pharmacokinetics, Pharmacodynamics, and Tolerability of Concomitant Multiple Dose Administration of Verinurad (RDEA3170) and Allopurinol in Adult Male Subjects With Gout.Journal of clinical pharmacology · 2018Trial
- Pharmacokinetics, pharmacodynamics, and tolerability of verinurad, a selective uric acid reabsorption inhibitor, in healthy Japanese and non-Asian male subjects.Drug design, development and therapy · 2018Trial
- Variants of ALPK1 with ABCG2, SLC2A9, and SLC22A12 increased the positive predictive value for gout.Journal of human genetics · 2018Trial
- Pharmacokinetics, pharmacodynamics, and tolerability of verinurad, a selective uric acid reabsorption inhibitor, in healthy adult male subjects.Drug design, development and therapy · 2017Trial
- Targeting CCDC90B restores intestinal stem cell function under hyperuricemic stress.Stem cell reports · 2026Article
- Deciphering the association between uric acid and kidney stones: insights into the mediating roles of BMI and serum iron: a cross-sectional study based on NHANES 2007-2018.International journal of surgery (London, England) · 2026Article
- Acute effects of moderate intensity exercise on uric acid excretion in underexcretion hyperuricemia.Scientific reports · 2026Article
- Association Between the Korean Healthy Eating Index and Hyperuricemia Among Korean Adults.Journal of Korean medical science · 2026Article
- Article
- Exploring the relationship between XDH gene variants and serum urate and xanthine dehydrogenase levels in gout.Clinical rheumatology · 2026Article
- Comprehensive phytochemical profiling of dealcoholized zhuyeqing liquor extract and its protective effect on hyperuricemia by regulating urate transporters and LPS/NLRP3 inflammasome pathway.Frontiers in nutrition · 2026Article
- Using Multi-Omics Methods to Understand Gouty Arthritis.Current rheumatology reviews · 2026Review
- Genetic variants associated with gout identified through a genome-wide study in the UK biobank (N = 150 542).Human molecular genetics · 2025Article
- Common Pathophysiological Mechanisms Connecting Dyslipidemia and Hyperuricemia: a Narrative Review.Maedica · 2025Review
50 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Gout is a common and very painful inflammatory arthritis caused by hyperuricaemia. This review provides an update on the genetics of hyperuricaemia and gout, including findings from genome-wide association studies. Most of the genes that associated with serum uric acid levels or gout are involved in the renal urate-transport system. For example, the urate transporter genes SLC2A9, ABCG2 and SLC22A12 modulate serum uric acid levels and gout risk. The net balance between renal urate absorption and secretion is a major determinant of serum uric acid concentration and loss-of-function mutations in SLC2A9 and SLC22A12 cause hereditary hypouricaemia due to reduced urate absorption and unopposed urate secretion. However, the variance in serum uric acid explained by genetic variants is small and their clinical utility for gout risk prediction seems limited because serum uric acid levels effectively predict gout risk. Urate-associated genes and genetically determined serum uric acid levels were largely unassociated with cardiovascular-metabolic outcomes, challenging the hypothesis of a causal role of serum uric acid in the development of cardiovascular disease. Strong pharmacogenetic associations between HLA-B*5801 alleles and severe allopurinol-hypersensitivity reactions were shown in Asian and European populations. Genetic testing for HLA-B*5801 alleles could be used to predict these potentially fatal adverse effects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.