SynthesisPLoS genetics2009
Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations.
Synthesis in PLoS genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 344 papers, 13 of them syntheses that pooled it.
What it found
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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
344 citing papers in PubMed, 13 syntheses or guidelines pooled it, 655 citations in OpenAlex.
- Evaluation of efficacy and safety of glucokinase activators-a systematic review and meta-analysis.Frontiers in endocrinology · 2023Pooled it
- The association between genetic polymorphisms in ABCG2 and SLC2A9 and urate: an updated systematic review and meta-analysis.BMC medical genetics · 2020Pooled it
- Polygenic analysis of the effect of common and low-frequency genetic variants on serum uric acid levels in Korean individuals.Scientific reports · 2020Pooled it
- Subtype-specific gout susceptibility loci and enrichment of selection pressure onAnnals of the rheumatic diseases · 2020Pooled it
- Genome-wide association study revealed novel loci which aggravate asymptomatic hyperuricaemia into gout.Annals of the rheumatic diseases · 2019Pooled it
- Genome-wide meta-analysis identifies multiple novel loci associated with serum uric acid levels in Japanese individuals.Communications biology · 2019Pooled it
- Association of common gene variants in glucokinase regulatory protein with cardiorenal disease: A systematic review and meta-analysis.PloS one · 2018Pooled it
- GWAS of clinically defined gout and subtypes identifies multiple susceptibility loci that include urate transporter genes.Annals of the rheumatic diseases · 2017Pooled it
- Associations between SLC2A9 polymorphisms and gout susceptibility : A meta-analysis.Zeitschrift fur Rheumatologie · 2017Pooled it
- Selecting instruments for Mendelian randomization in the wake of genome-wide association studies.International journal of epidemiology · 2016Pooled it
- Association between SLC2A9 (GLUT9) gene polymorphisms and gout susceptibility: an updated meta-analysis.Rheumatology international · 2016Pooled it
- Genome wide association study of uric acid in Indian population and interaction of identified variants with Type 2 diabetes.Scientific reports · 2016Pooled it
- Modulation of genetic associations with serum urate levels by body-mass-index in humans.PloS one · 2015Pooled it
- Unraveling the genetic causes in large pedigrees with gout by whole‑exome sequencing.International journal of molecular medicine · 2020Trial
- The Effect of Lesinurad in Combination With Allopurinol on Serum Uric Acid Levels in Patients With Gout.Journal of clinical pharmacology · 2018Trial
- The effects of URAT1/SLC22A12 nonfunctional variants, R90H and W258X, on serum uric acid levels and gout/hyperuricemia progression.Scientific reports · 2016Trial
- ABCG2 transporter: Structural and functional associations with gout (Review).International journal of molecular medicine · 2026Review
- Inference of upstream-mutation and metabolomic-signature causality identifies prognostic biomarkers and therapeutic targets in pancreatic cancer.Nature communications · 2026Article
- Association of Functional Genetic Variations in Uric Acid Transporters with the Risk of Idiopathic Male Infertility: A Genetic Association Study and Bioinformatic Analysis.Biochemical genetics · 2025Article
- The Role of the Intestinal Microbiome in the Pathogenesis and Treatment of Hyperuricemia: A Review.Food science & nutrition · 2025Review
284 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
61 authors at 20 institutions in 11 countries.
Funding
Abstract
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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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.