KidneyGPS: a user-friendly web application to help prioritize kidney function genes and variants based on evidence from genome-wide association studies.

Additionally, for each of the 594 eGFR signals, we queried further genetic association data relevant to the kidney researcher: (7) To highlight the relevance of a genetic association with creatinine-based eGFR for kidney function rather than creatinine metabolism, we included information on whether the locus association was directionally consistent and nominally significant for blood urea nitrogen (BUN) or cystatin-based eGFR (eGFRcys; i.e. locus lead variant P < 0.05; opposite or same direction of effect for BUN or eGFRcys, respectively; n = 852,678 or 460,826, respectively; yielding 491 of 594 signals validated); (8) Since genetic effects with steeper decline versus more stable eGFR over time might point to particularly deleterious mechanisms for the kidney, we included information on whether the signal showed significant association on eGFR decline (N = 343,339 [ 25 ], yielding 8 decline signals).

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