The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD
Open accessAbstract
Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR <60ml/min/1.73m(2) at follow-up) and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR) were associated with incident CKD; p-values ranged from p = 4.1e-9 in UMOD to p = 0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1). SNPs in UMOD (OR = 0.92, p = 0.04) and GCKR (OR = 0.93, p = 0.03) were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression.
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Cites
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
Prevalence of Chronic Kidney Disease in the United States
Coresh, J., Selvin, E., Stevens, L. A., Manzi, J., Kusek, J. W., Eggers, P., Van Lente, F., & Levey, A. S. (2007) · JAMA · doi:10.1001/jama.298.17.2038 · Cited by 4,895
Self-citationAssociation of Trypanolytic ApoL1 Variants with Kidney Disease in African Americans
Genovese, G., Friedman, D. J., Ross, M. D., Lecordier, L., Uzureau, P., Freedman, B. I., Bowden, D. W., Langefeld, C. D., Oleksyk, T. K., Uscinski Knob, A. L., et al. (2010) · Science · doi:10.1126/science.1193032 · Cited by 2,028
Predictors of New-Onset Kidney Disease in a Community-Based Population
Fox, C. S. (2004) · JAMA · doi:10.1001/jama.291.7.844 · Cited by 1,241 · cited 1×
“In population based cohorts, serum creatinine measurements were calibrated to the National Health and Nutrition Examination Study (NHANES) standards in all studies to account for betweenlaboratory variation across studies, as described previously [10,16,17].”
MethodSelf-citation
Cited by
CKD Prevalence Varies across the European General Population
Brück, K., Stel, V. S., Gambaro, G., Hallan, S., Völzke, H., Ärnlöv, J., Kastarinen, M., Guessous, I., Vinhas, J., Stengel, B., et al. (2016) · Journal of the American Society of Nephrology · doi:10.1681/asn.2015050542 · Cited by 586
Self-citationPattaro, C., Teumer, A., Gorski, M., Chu, A. Y., Li, M., Mijatovic, V., Garnaas, M., Tin, A., Sorice, R., Li, Y., et al. (2016) · Nature Communications · doi:10.1038/ncomms10023 · Cited by 517
Self-citationUromodulin: from physiology to rare and complex kidney disorders
Devuyst, O., Olinger, E., & Rampoldi, L. (2017) · Nature Reviews Nephrology · doi:10.1038/nrneph.2017.101 · Cited by 312
Fazzini, F., Lamina, C., Raschenberger, J., Schultheiss, U. T., Kotsis, F., Schönherr, S., Weissensteiner, H., Forer, L., Steinbrenner, I., Meiselbach, H., et al. (2020) · Kidney International · doi:10.1016/j.kint.2020.02.034 · Cited by 38
Self-citationGenetics and hypertension: is it time to change my practice?
Delles, C., & Padmanabhan, S. (2012) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2012.02.004 · Cited by 23
Metadata
- Authors
- Böger, C. A., Gorski, M., Li, M., Hoffmann, M. M., Huang, C., Yang, Q., Teumer, A., Krane, V., O'Seaghdha, C. M., Kutalik, Z., Wichmann, H.-E., Haak, T., Boes, E., Coassin, S., Coresh, J., Kollerits, B., Haun, M., Paulweber, B., Köttgen, A., Li, G., Shlipak, M. G., Powe, N., Hwang, S.-J., Dehghan, A., Rivadeneira, F., Uitterlinden, A., Hofman, A., Beckmann, J. S., Krämer, B. K., Witteman, J., Bochud, M., Siscovick, D., Rettig, R., Kronenberg, F., Wanner, C., Thadhani, R. I., Heid, I. M., Fox, C. S., Kao, W. H., & The CKDGen Consortium
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-09-29
- Volume
- 7
- Issue
- 9
- Pages
- e1002292
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- OpenAlex
- W2169314667
- Cited by
- 200
- References
- 5
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD. https://app.cochat.ai/papers/10.1371/journal.pgen.1002292
- The paper
- Böger, C. A., Gorski, M., Li, M., Hoffmann, M. M., Huang, C., Yang, Q., Teumer, A., Krane, V., O'Seaghdha, C. M., Kutalik, Z., Wichmann, H.-E., Haak, T., Boes, E., Coassin, S., Coresh, J., Kollerits, B., Haun, M., Paulweber, B., Köttgen, A., . . . The CKDGen Consortium. (2011). Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD. PLoS Genetics. https://doi.org/10.1371/journal.pgen.1002292
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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.
