Polygenic Risk Scores Predicting Estimated GFR Validated With Iohexol Clearance.

ABSTRACT:

Introduction

Genome-wide association studies (GWAS) have identified hundreds of single nucleotide variants (SNVs) associated with estimated glomerular filtration rate (eGFR). eGFR has been used as a proxy phenotype because of the complexity and cost of measured GFR (mGFR) in large studies. Because eGFR is influenced by non-GFR factors, these GWAS results may be biased compared with a hypothetical study using mGFR. We aimed to investigate this by comparing aggregate measures of genetic effects on mGFR and eGFR.

Methods

We studied 1492 persons from the Renal Iohexol Clearance Survey (RENIS) cohort, a representative sample of the general population in Northern Norway without preexisting cardiovascular disease, kidney disease, or diabetes. We measured iohexol-clearance, and geno

SUBMITTER: Eriksen BO 

PROVIDER: S-EPMC12799510 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature