Modulation of genetic associations with serum urate levels by body-mass-index in humans
- PMID: 25811787
- PMCID: PMC4374966
- DOI: 10.1371/journal.pone.0119752
Modulation of genetic associations with serum urate levels by body-mass-index in humans
Abstract
We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, Pinter= 2.6 x 10-8). Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDARADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10-8), a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10-8), regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10-4). Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.
Conflict of interest statement
Figures
Similar articles
-
Trans-ancestral dissection of urate- and gout-associated major loci SLC2A9 and ABCG2 reveals primate-specific regulatory effects.J Hum Genet. 2021 Feb;66(2):161-169. doi: 10.1038/s10038-020-0821-z. Epub 2020 Aug 10. J Hum Genet. 2021. PMID: 32778763
-
Genetics of serum urate concentrations and gout in a high-risk population, patients with chronic kidney disease.Sci Rep. 2018 Sep 4;8(1):13184. doi: 10.1038/s41598-018-31282-z. Sci Rep. 2018. PMID: 30181573 Free PMC article.
-
Identification of a urate transporter, ABCG2, with a common functional polymorphism causing gout.Proc Natl Acad Sci U S A. 2009 Jun 23;106(25):10338-42. doi: 10.1073/pnas.0901249106. Epub 2009 Jun 8. Proc Natl Acad Sci U S A. 2009. PMID: 19506252 Free PMC article.
-
Recent advances in renal urate transport: characterization of candidate transporters indicated by genome-wide association studies.Clin Exp Nephrol. 2012 Feb;16(1):89-95. doi: 10.1007/s10157-011-0532-z. Epub 2011 Nov 1. Clin Exp Nephrol. 2012. PMID: 22038265 Review.
-
The genetics of hyperuricaemia and gout.Nat Rev Rheumatol. 2012 Oct;8(10):610-21. doi: 10.1038/nrrheum.2012.144. Epub 2012 Sep 4. Nat Rev Rheumatol. 2012. PMID: 22945592 Free PMC article. Review.
Cited by
-
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease.Cell Genom. 2022 Oct 12;2(10):100192. doi: 10.1016/j.xgen.2022.100192. eCollection 2022 Oct 12. Cell Genom. 2022. PMID: 36777996 Free PMC article.
-
Assessing the Causal Effects of Adipokines on Uric Acid and Gout: A Two-Sample Mendelian Randomization Study.Nutrients. 2022 Mar 5;14(5):1091. doi: 10.3390/nu14051091. Nutrients. 2022. PMID: 35268067 Free PMC article.
-
Impact of adiposity on risk of female gout among those genetically predisposed: sex-specific prospective cohort study findings over >32 years.Ann Rheum Dis. 2022 Apr;81(4):556-563. doi: 10.1136/annrheumdis-2021-221635. Epub 2021 Dec 2. Ann Rheum Dis. 2022. PMID: 34857519 Free PMC article.
-
Association of ABCG2 rs2231142 Allele and BMI With Hyperuricemia in an East Asian Population.Front Genet. 2021 Aug 31;12:709887. doi: 10.3389/fgene.2021.709887. eCollection 2021. Front Genet. 2021. PMID: 34531894 Free PMC article.
-
Automated feature extraction from population wearable device data identified novel loci associated with sleep and circadian rhythms.PLoS Genet. 2020 Oct 19;16(10):e1009089. doi: 10.1371/journal.pgen.1009089. eCollection 2020 Oct. PLoS Genet. 2020. PMID: 33075057 Free PMC article.
References
-
- Kutzing MK, Firestein BL. Altered uric acid levels and disease states. J Pharmacol Exp Ther. 2008; 324: 1–7. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
- HHSN268201100009I/HL/NHLBI NIH HHS/United States
- N01AG12100/AG/NIA NIH HHS/United States
- R01 HL059367/HL/NHLBI NIH HHS/United States
- G0700704/MRC_/Medical Research Council/United Kingdom
- U01HG004402/HG/NHGRI NIH HHS/United States
- HHSN268201100006C/HL/NHLBI NIH HHS/United States
- HHSN268201100005I/HL/NHLBI NIH HHS/United States
- MC_PC_U127592696/MRC_/Medical Research Council/United Kingdom
- C348/A12076/CRUK_/Cancer Research UK/United Kingdom
- R01 HL087641/HL/NHLBI NIH HHS/United States
- BB/F019394/1/BB_/Biotechnology and Biological Sciences Research Council/United Kingdom
- G0000657-53203/MRC_/Medical Research Council/United Kingdom
- 12076/CRUK_/Cancer Research UK/United Kingdom
- HHSN268201100012C/HL/NHLBI NIH HHS/United States
- UL1RR025005/RR/NCRR NIH HHS/United States
- R01HL59367/HL/NHLBI NIH HHS/United States
- HHSN268201100010C/HL/NHLBI NIH HHS/United States
- UL1 RR025005/RR/NCRR NIH HHS/United States
- HHSN268201100008C/HL/NHLBI NIH HHS/United States
- HHSN268201100005G/HL/NHLBI NIH HHS/United States
- HHSN268201100008I/HL/NHLBI NIH HHS/United States
- HHSN268201100007C/HL/NHLBI NIH HHS/United States
- R01 MD009164/MD/NIMHD NIH HHS/United States
- MR/K018647/1/MRC_/Medical Research Council/United Kingdom
- MR/K006584/1/MRC_/Medical Research Council/United Kingdom
- HHSN268201100011I/HL/NHLBI NIH HHS/United States
- HHSN268201100011C/HL/NHLBI NIH HHS/United States
- R01 HL086694/HL/NHLBI NIH HHS/United States
- HHSN268200625226C/PHS HHS/United States
- U01 HG004402/HG/NHGRI NIH HHS/United States
- G9521010D/MRC_/Medical Research Council/United Kingdom
- 095831/WT_/Wellcome Trust/United Kingdom
- R01HL087641/HL/NHLBI NIH HHS/United States
- MC_PC_U127561128/MRC_/Medical Research Council/United Kingdom
- G9521010/MRC_/Medical Research Council/United Kingdom
- HHSN268201100009C/HL/NHLBI NIH HHS/United States
- N01-AG-12100/AG/NIA NIH HHS/United States
- HHSN268201100005C/HL/NHLBI NIH HHS/United States
- HHSN268201100007I/HL/NHLBI NIH HHS/United States
- WT_/Wellcome Trust/United Kingdom
- C348/A6361/CRUK_/Cancer Research UK/United Kingdom
- MC_PC_U127527198/MRC_/Medical Research Council/United Kingdom
- R01HL086694/HL/NHLBI NIH HHS/United States
- MR/K026992/1/MRC_/Medical Research Council/United Kingdom
LinkOut - more resources
Full Text Sources
Other Literature Sources
