A novel rare CUBN variant and three additional genes identified in Europeans with and without diabetes: results from an exome-wide association study of albuminuria

Research output: Contribution to journalArticle

Abstract

Aims/hypothesis: Identifying rare coding variants associated with albuminuria may open new avenues for preventing chronic kidney disease and end-stage renal disease, which are highly prevalent in individuals with diabetes. Efforts to identify genetic susceptibility variants for albuminuria have so far been limited, with the majority of studies focusing on common variants. Methods: We performed an exome-wide association study to identify coding variants in a two-stage (discovery and replication) approach. Data from 33,985 individuals of European ancestry (15,872 with and 18,113 without diabetes) and 2605 Greenlanders were included. Results: We identified a rare (minor allele frequency [MAF]: 0.8%) missense (A1690V) variant in CUBN (rs141640975, β = 0.27, p = 1.3 × 10−11) associated with albuminuria as a continuous measure in the combined European meta-analysis. The presence of each rare allele of the variant was associated with a 6.4% increase in albuminuria. The rare CUBN variant had an effect that was three times stronger in individuals with type 2 diabetes compared with those without (pinteraction = 7.0 × 10−4, β with diabetes = 0.69, β without diabetes = 0.20) in the discovery meta-analysis. Gene-aggregate tests based on rare and common variants identified three additional genes associated with albuminuria (HES1, CDC73 and GRM5) after multiple testing correction (pBonferroni < 2.7 × 10−6). Conclusions/interpretation: The current study identifies a rare coding variant in the CUBN locus and other potential genes associated with albuminuria in individuals with and without diabetes. These genes have been implicated in renal and cardiovascular dysfunction. The findings provide new insights into the genetic architecture of albuminuria and highlight target genes and pathways for the prevention of diabetes-related kidney disease.

Details

Authors
  • Tarunveer S. Ahluwalia
  • Johannes Waage
  • Tea Skaaby
  • Niina Sandholm
  • Natalie van Zuydam
  • Romain Charmet
  • Jette Bork-Jensen
  • Peter Almgren
  • Betina H. Thuesen
  • Mathilda Bedin
  • Ivan Brandslund
  • Cramer K. Christensen
  • Allan Linneberg
  • Per Henrik Groop
  • Samy Hadjadj
  • David Alexandre Tregouet
  • Marit E. Jørgensen
  • Niels Grarup
  • Oluf Pedersen
  • Matias Simons
  • Mark I. McCarthy
  • Peter Rossing
  • Tuomas O. Kilpeläinen
  • Torben Hansen
Organisations
External organisations
  • Steno Diabetes Center Copenhagen
  • University of Copenhagen
  • Frederiksberg Hospital
  • Helsinki University Central Hospital
  • University of Helsinki
  • University of Oxford
  • Paris Descartes University
  • Lillebaelt Hospital
  • Monash University
  • Nantes University Hospital
  • University of Southern Denmark
  • Institute for Molecular Medicine Finland (FIMM)
  • Herlev Hospital
  • Folkhälsan
  • Pierre and Marie Curie University
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Medical Genetics
  • Endocrinology and Diabetes

Keywords

  • Albuminuria, Diabetes, DKD, Exome chip, Genetics, Genome-wide association study, GWAS, Kidney disease, Rare variant, SKAT, Type 2 diabetes
Original languageEnglish
Pages (from-to)292-305
JournalDiabetologia
Volume62
Issue number2
Early online date2018 Dec 13
Publication statusPublished - 2019 Feb
Publication categoryResearch
Peer-reviewedYes