The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Modulation of Genetic Associations with Serum Urate Levels by Body-Mass-Index in Humans
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The NHGRI GWAS Catalog, a curated resource of SNP-trait associations
Welter, D., MacArthur, J., Morales, J., Burdett, T., Hall, P., Junkins, H., Klemm, A., Flicek, P., Manolio, T., Hindorff, L., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1229 · Cited by 2,707
GenABEL: an R library for genome-wide association analysis
Aulchenko, Y. S., Ripke, S., Isaacs, A., & van Duijn, C. M. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm108 · Cited by 1,836 · cited 1×
“g a score test mmscore [18] implemented in the GenABEL package [19]).”
MethodHamza, T. H., Chen, H., Hill-Burns, E. M., Rhodes, S. L., Montimurro, J., Kay, D. M., Tenesa, A., Kusel, V. I., Sheehan, P., Eaaswarkhanth, M., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002237 · Cited by 218
Self-citation
Cited by
Rodriguez-Ayllon, M., Cadenas-Sánchez, C., Estévez-López, F., Muñoz, N. E., Mora-Gonzalez, J., Migueles, J. H., Molina-García, P., Henriksson, H., Mena-Molina, A., Martínez-Vizcaíno, V., et al. (2019) · Sports Medicine · doi:10.1007/s40279-019-01099-5 · Cited by 1,360
Zheng, J., Erzurumluoglu, A. M., Elsworth, B. L., Kemp, J. P., Howe, L., Haycock, P. C., Hemani, G., Tansey, K., Laurin, C., Early Genetics and Lifecourse Epidemiology (EAGLE) Eczema Consortium, et al. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw613 · Cited by 869
The global burden of sepsis: barriers and potential solutions
Rudd, K. E., Kissoon, N., Limmathurotsakul, D., Bory, S., Mutahunga, B., Seymour, C. W., Angus, D. C., & West, T. E. (2018) · Critical Care · doi:10.1186/s13054-018-2157-z · Cited by 416
Physiology of Hyperuricemia and Urate-Lowering Treatments
Benn, C. L., Dua, P., Gurrell, R., Loudon, P., Pike, A., Storer, R. I., & Vangjeli, C. (2018) · Frontiers in Medicine · doi:10.3389/fmed.2018.00160 · Cited by 319
Daniels, S. J., Leeming, D. J., Eslam, M., Hashem, A. M., Nielsen, M. J., Krag, A., Karsdal, M. A., Grove, J. I., Neil Guha, I., Kawaguchi, T., et al. (2019) · Hepatology · doi:10.1002/hep.30163 · Cited by 273
Metadata
- Authors
- Huffman, J. E., Albrecht, E., Teumer, A., Mangino, M., Kapur, K., Johnson, T., Kutalik, Z., Pirastu, N., Pistis, G., Lopez, L. M., Haller, T., Salo, P., Goel, A., Li, M., Tanaka, T., Dehghan, A., Ruggiero, D., Malerba, G., Smith, A. V., Nolte, I. M., Portas, L., Phipps-Green, A., Boteva, L., Navarro, P., Johansson, A., Hicks, A. A., Polasek, O., Esko, T., Peden, J. F., Harris, S. E., Murgia, F., Wild, S. H., Tenesa, A., Tin, A., Mihailov, E., Grotevendt, A., Gislason, G. K., Coresh, J., D'Adamo, P., Ulivi, S., Vollenweider, P., Waeber, G., Campbell, S., Kolcic, I., Fisher, K., Viigimaa, M., Metter, J. E., Masciullo, C., Trabetti, E., Bombieri, C., Sorice, R., Döring, A., Reischl, E., Strauch, K., Hofman, A., Uitterlinden, A. G., Waldenberger, M., Wichmann, H.-E., Davies, G., Gow, A. J., Dalbeth, N., Stamp, L., Smit, J. H., Kirin, M., Nagaraja, R., Nauck, M., Schurmann, C., Budde, K., Farrington, S. M., Theodoratou, E., Jula, A., Salomaa, V., Sala, C., Hengstenberg, C., Burnier, M., Mägi, R., Klopp, N., Kloiber, S., Schipf, S., Ripatti, S., Cabras, S., Soranzo, N., Homuth, G., Nutile, T., Munroe, P. B., Hastie, N., Campbell, H., Rudan, I., Cabrera, C., Haley, C., Franco, O. H., Merriman, T. R., Gudnason, V., Pirastu, M., Penninx, B. W., Snieder, H., Metspalu, A., Ciullo, M., Pramstaller, P. P., van Duijn, C. M., Ferrucci, L., Gambaro, G., Deary, I. J., Dunlop, M. G., Wilson, J. F., Gasparini, P., Gyllensten, U., Spector, T. D., Wright, A. F., Hayward, C., Watkins, H., Perola, M., Bochud, M., Kao, W. H. L., Caulfield, M., Toniolo, D., Völzke, H., Gieger, C., Köttgen, A., & Vitart, V.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-03-26
- Volume
- 10
- Issue
- 3
- Pages
- e0119752
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2095845810
- Cited by
- 1,227
- References
- 3
- FWCI
- 124.21
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modulation of Genetic Associations with Serum Urate Levels by Body-Mass-Index in Humans. https://app.cochat.ai/papers/10.1371/journal.pone.0119752
- The paper
- Huffman, J. E., Albrecht, E., Teumer, A., Mangino, M., Kapur, K., Johnson, T., Kutalik, Z., Pirastu, N., Pistis, G., Lopez, L. M., Haller, T., Salo, P., Goel, A., Li, M., Tanaka, T., Dehghan, A., Ruggiero, D., Malerba, G., Smith, A. V., . . . Vitart, V. (2015). Modulation of Genetic Associations with Serum Urate Levels by Body-Mass-Index in Humans. PLOS ONE. https://doi.org/10.1371/journal.pone.0119752
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.