The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Meta-analysis identifies multiple loci associated with kidney function–related traits in east Asian populations
Open accessAbstract
Chronic kidney disease (CKD), impairment of kidney function, is a serious public health problem, and the assessment of genetic factors influencing kidney function has substantial clinical relevance. Here, we report a meta-analysis of genome-wide association studies for kidney function–related traits, including 71,149 east Asian individuals from 18 studies in 11 population-, hospital- or family-based cohorts, conducted as part of the Asian Genetic Epidemiology Network (AGEN). Our meta-analysis identified 17 loci newly associated with kidney function–related traits, including the concentrations of blood urea nitrogen, uric acid and serum creatinine and estimated glomerular filtration rate based on serum creatinine levels (eGFRcrea) (P < 5.0 × 10−8). We further examined these loci with in silico replication in individuals of European ancestry from the KidneyGen, CKDGen and GUGC consortia, including a combined total of ∼110,347 individuals. We identify pleiotropic associations among these loci with kidney function–related traits and risk of CKD. These findings provide new insights into the genetics of kidney function.
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Toprak, O., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney and Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,627
Levey, A. S., Coresh, J., Bolton, K., Culleton, B. F., Harvey, K. S., Ikizler, T. A., Johnson, C. A., Kausz, A., Kimmel, P. L., Kusek, J. W., et al. (2002) · University of Groningen research database (University of Groningen / Centre for Information Technology) · Cited by 11,633
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
The International Consortium for Blood Pressure Genome-Wide Association Studies (2011) · Nature · doi:10.1038/nature10405 · Cited by 2,033
Complete sequence and gene map of a human major histocompatibility complex
The MHC sequencing consortium (1999) · Nature · doi:10.1038/44853 · Cited by 1,065
Self-citationNew loci associated with kidney function and chronic kidney disease
Köttgen, A., Pattaro, C., Böger, C. A., Fuchsberger, C., Olden, M., Glazer, N. L., Parsa, A., Gao, X., Yang, Q., Smith, A. V., et al. (2010) · Nature Genetics · doi:10.1038/ng.568 · Cited by 804
Self-citationVitart, V., Rudan, I., Hayward, C., Gray, N. K., Floyd, J., Palmer, C. N., Knott, S. A., Kolcic, I., Polasek, O., Graessler, J., et al. (2008) · Nature Genetics · doi:10.1038/ng.106 · Cited by 799
de Bakker, P. I. W., McVean, G., Sabeti, P. C., Miretti, M. M., Green, T., Marchini, J., Ke, X., Monsuur, A. J., Whittaker, P., Delgado, M., et al. (2006) · Nature Genetics · doi:10.1038/ng1885 · Cited by 766
Kolz, M., Johnson, T., Sanna, S., Teumer, A., Vitart, V., Perola, M., Mangino, M., Albrecht, E., Wallace, C., Farrall, M., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000504 · Cited by 658
Self-citationMultiple loci associated with indices of renal function and chronic kidney disease
Köttgen, A., Glazer, N. L., Dehghan, A., Hwang, S.-J., Katz, R., Li, M., Yang, Q., Gudnason, V., Launer, L. J., Harris, T. B., et al. (2009) · Nature Genetics · doi:10.1038/ng.377 · Cited by 647
Kato, N., Takeuchi, F., Tabara, Y., Kelly, T. N., Go, M. J., Sim, X., Tay, W. T., Chen, C.-H., Zhang, Y., Yamamoto, K., et al. (2011) · Nature Genetics · doi:10.1038/ng.834 · Cited by 566
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Sekula, P., Del Greco M, F., Pattaro, C., & Köttgen, A. (2016) · Journal of the American Society of Nephrology · doi:10.1681/asn.2016010098 · Cited by 2,351
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the RACI consortium, Okada, Y., the GARNET consortium, Wu, D., Trynka, G., Raj, T., Terao, C., Ikari, K., Kochi, Y., Ohmura, K., et al. (2014) · Nature · doi:10.1038/nature12873 · Cited by 2,310
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Kim, Y., Han, B.-G., & the KoGES group (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyv316 · Cited by 1,017
Self-citationKanai, M., Akiyama, M., Takahashi, A., Matoba, N., Momozawa, Y., Ikeda, M., Iwata, N., Ikegawa, S., Hirata, M., Matsuda, K., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0047-6 · Cited by 801
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Metadata
- Authors
- The KidneyGen Consortium, Okada, Y., The CKDGen Consortium, The GUGC consortium, Sim, X., Go, M. J., Wu, J.-Y., Gu, D., Takeuchi, F., Takahashi, A., Maeda, S., Tsunoda, T., Chen, P., Lim, S.-C., Wong, T.-Y., Liu, J., Young, T. L., Aung, T., Seielstad, M., Teo, Y.-Y., Kim, Y. J., Lee, J.-Y., Han, B.-G., Kang, D., Chen, C.-H., Tsai, F.-J., Chang, L.-C., Fann, S.-J. C., Mei, H., Rao, D. C., Hixson, J. E., Chen, S., Katsuya, T., Isono, M., Ogihara, T., Chambers, J. C., Zhang, W., Kooner, J. S., Albrecht, E., Yamamoto, K., Kubo, M., Nakamura, Y., Kamatani, N., Kato, N., He, J., Chen, Y.-T., Cho, Y. S., Tai, E.-S., & Tanaka, T.
- Venue
- Nature Genetics
- Published
- 2012-07-15
- Volume
- 44
- Issue
- 8
- Pages
- 904-909
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W1994501150
- Cited by
- 310
- References
- 32
- FWCI
- 12.93
- Type
- journal article
- Language
- en
- Open access
- green
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- The KidneyGen Consortium, Okada, Y., The CKDGen Consortium, The GUGC consortium, Sim, X., Go, M. J., Wu, J.-Y., Gu, D., Takeuchi, F., Takahashi, A., Maeda, S., Tsunoda, T., Chen, P., Lim, S.-C., Wong, T.-Y., Liu, J., Young, T. L., Aung, T., Seielstad, M., . . . Tanaka, T. (2012). Meta-analysis identifies multiple loci associated with kidney function–related traits in east Asian populations. Nature Genetics. https://doi.org/10.1038/ng.2352
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