Sequence variants associating with urinary biomarkers

Stefania Benonisdottir, Ragnar P Kristjansson, Asmundur Oddsson, Valgerdur Steinthorsdottir, Evgenia Mikaelsdottir, Birte Kehr, Brynjar O Jensson, Gudny A Arnadottir, Gerald Sulem, Gardar Sveinbjornsson, Snaedis Kristmundsdottir, Erna V Ivarsdottir, Lotte K Vogel, Vinicius Tragante, Bjarni Gunnarsson, Hrafnhildur Linnet Runolfsdottir, Joseph G Arthur, Aimee M Deaton, Gudmundur I Eyjolfsson, Olafur B DavidssonFolkert W Asselbergs, Astradur B Hreidarsson, Thorunn Rafnar, Gudmar Thorleifsson, Vidar Edvardsson, Gunnar Sigurdsson, Anna Helgadottir, Bjarni V Halldorsson, Gisli Masson, Hilma Holm, Pall T Onundarson, Olafur S Indridason, Rafn Benediktsson, Runolfur Palsson, Daniel F Gudbjartsson, Isleifur Olafsson, Unnur Thorsteinsdottir, Patrick Sulem, Kari Stefansson

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Abstract

Urine dipstick tests are widely used in routine medical care to diagnose kidney and urinary tract and metabolic diseases. Several environmental factors are known to affect the test results, whereas the effects of genetic diversity are largely unknown.We tested 32.5 million sequence variants for association with urinary biomarkers in a set of 150 274 Icelanders with urine dipstick measurements.We detected 20 association signals, of which 14 are novel, associating with at least one of five clinical entities defined by the urine dipstick: glucosuria, ketonuria, proteinuria, hematuria and urine pH. These include three independent glucosuria variants at SLC5A2, the gene encoding the sodium-dependent glucose transporter (SGLT2), a protein targeted pharmacologically to increase urinary glucose excretion in the treatment of diabetes. Two variants associating with proteinuria are in LRP2 and CUBN, encoding the co-transporters megalin and cubilin, respectively, that mediate proximal tubule protein uptake. One of the hematuria-associated variants is a rare, previously unreported 2.5 kb exonic deletion in COL4A3. Of the four signals associated with urine pH, we note that the pH-increasing alleles of two variants (POU2AF1, WDR72) associate significantly with increased risk of kidney stones. Our results reveal that genetic factors affect variability in urinary biomarkers, in both a disease dependent and independent context.

Original languageEnglish
Pages (from-to)1199-1211
Number of pages13
JournalHuman Molecular Genetics
Volume28
Issue number7
Early online date24 Nov 2018
DOIs
Publication statusPublished - 1 Apr 2019

Keywords

  • Adult
  • Aged
  • Alleles
  • Biomarkers/analysis
  • Female
  • Genetic Variation/genetics
  • Hematuria/genetics
  • Humans
  • Hydrogen-Ion Concentration
  • Iceland
  • Ketosis/genetics
  • Kidney/metabolism
  • Male
  • Middle Aged
  • Proteinuria/genetics
  • Sodium-Glucose Transporter 2/genetics
  • Whole Genome Sequencing/methods

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