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A catalog of genetic loci associated with kidney function from analyses of a million individuals

  • LifeLines Cohort Study
  • , V. A. Million Veteran Program
  • Albert-Ludwigs-University Freiburg
  • University of Utah
  • GlaxoSmithKline
  • Washington University St. Louis
  • University Hospital Regensburg
  • University of Regensburg
  • Johns Hopkins University
  • Merck
  • Leipzig University
  • Vanderbilt University Medical Center
  • Vanderbilt University
  • National University Health System
  • deCODE Genetics
  • Loyola University Chicago
  • National Research Council of Italy
  • Eurac Research, Bolzano, Italy
  • University of Edinburgh
  • IRCCS Ospedale Infantile Burlo Garofolo - Trieste
  • Institute for Community Medicine, Greifswald, Germany
  • German Centre for Cardiovascular Research
  • University of Groningen
  • Erasmus University Rotterdam
  • RIKEN
  • Kyushu University
  • Imperial College London
  • Institute of Public Health & Social Sciences, Peshawar, Pakistan
  • Novo Nordisk Foundation
  • Lund University
  • Karolinska Institutet
  • Dalarna University
  • University of Washington
  • University of Geneva
  • University of Lausanne
  • Swiss Institute of Bioinformatics
  • University of Cape Town
  • University of Michigan, Ann Arbor
  • University of Texas Health Science Center at Houston
  • UMR 8199 - EGID
  • Icahn School of Medicine at Mount Sinai
  • University of Potsdam
  • National Center for Tumor Diseases Heidelberg
  • Network Aging Research, Heidelberg, Germany
  • University of Trieste
  • University of Cambridge
  • University of Freiburg
  • EURAC Research

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
Original languageEnglish
Pages (from-to)957-972
JournalNature genetics
Volume51
Issue number6
DOIs
Publication statusPublished - 1 Jun 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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