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Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
Open accessAbstract
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.
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Metadata
- Authors
- Pattaro, C., Teumer, A., Gorski, M., Chu, A. Y., Li, M., Mijatovic, V., Garnaas, M., Tin, A., Sorice, R., Li, Y., Taliun, D., Olden, M., Foster, M., Yang, Q., Chen, M.-H., Pers, T. H., Johnson, A. D., Ko, Y.-A., Fuchsberger, C., Tayo, B., Nalls, M., Feitosa, M. F., Isaacs, A., Dehghan, A., d’Adamo, P., Adeyemo, A., Dieffenbach, A. K., Zonderman, A. B., Nolte, I. M., van der Most, P. J., Wright, A. F., Shuldiner, A. R., Morrison, A. C., Hofman, A., Smith, A. V., Dreisbach, A. W., Franke, A., Uitterlinden, A. G., Metspalu, A., Tonjes, A., Lupo, A., Robino, A., Johansson, Å., Demirkan, A., Kollerits, B., Freedman, B. I., Ponte, B., Oostra, B. A., Paulweber, B., Krämer, B. K., Mitchell, B. D., Buckley, B. M., Peralta, C. A., Hayward, C., Helmer, C., Rotimi, C. N., Shaffer, C. M., Müller, C., Sala, C., van Duijn, C. M., Saint-Pierre, A., Ackermann, D., Shriner, D., Ruggiero, D., Toniolo, D., Lu, Y., Cusi, D., Czamara, D., Ellinghaus, D., Siscovick, D. 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- Venue
- Nature Communications
- Published
- 2016-01-21
- Volume
- 7
- Issue
- 1
- Pages
- 10023-10023
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2411709723
- Cited by
- 517
- References
- 49
- FWCI
- 51.86
- 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 ›
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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.