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A polygenic score for reduced kidney function and adverse outcomes in a cohort with chronic kidney disease.

作者信息

Steinbrenner Inga, Yu Zhi, Jin Jin, Schultheiss Ulla T, Kotsis Fruzsina, Grams Morgan E, Coresh Josef, Wuttke Matthias, Kronenberg Florian, Eckardt Kai-Uwe, Chatterjee Nilanjan, Sekula Peggy, Köttgen Anna

机构信息

Institute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.

Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

出版信息

Kidney Int. 2023 Feb;103(2):421-424. doi: 10.1016/j.kint.2022.11.013. Epub 2022 Dec 5.

Abstract
摘要

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本文引用的文献

1
Genome-wide polygenic score to predict chronic kidney disease across ancestries.
Nat Med. 2022 Jul;28(7):1412-1420. doi: 10.1038/s41591-022-01869-1. Epub 2022 Jun 16.
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The illusion of polygenic disease risk prediction.
Genet Med. 2019 Aug;21(8):1705-1707. doi: 10.1038/s41436-018-0418-5. Epub 2019 Jan 12.
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Genome-wide polygenic risk predictors for kidney disease.
Nat Rev Nephrol. 2018 Dec;14(12):723-724. doi: 10.1038/s41581-018-0067-6.
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The personal and clinical utility of polygenic risk scores.
Nat Rev Genet. 2018 Sep;19(9):581-590. doi: 10.1038/s41576-018-0018-x.
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The German Chronic Kidney Disease (GCKD) study: design and methods.
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