Sex and age interaction with genetic association of atherogenic uric acid concentrations

Anita Brandstätter, Claudia Lamina, Stefan Kiechl, Steven Hunt, Stefan Coassin, Bernhard Paulweber, Felix Kramer, Monika Summerer, Johann Willeit, Lyudmyla Kedenko, Ted D. Adams, Florian Kronenberg

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Background: High serum uric acid levels are associated with gout, atherosclerosis and cardiovascular disease. Three genes (SLC2A9, ABCG2, and SLC17A3) were reported to be involved in the regulation of uric acid levels. Research: Design and Methods: SNPs rs2231142 (ABCG2) and rs1165205 (SLC17A3) were genotyped in three cohorts (n= 4492) and combined with previously genotyped SNPs within SLC2A9 (rs6855911, rs7442295, rs6449213, rs12510549). Results: Each copy of the minor allele decreased uric acid levels by 0.30-0.38mg/dL for SLC2A9 (p values: 10-20-10-36) and increased levels by 0.34mg/dL for ABCG2 (p=1.1×10-16). SLC17A3 influenced uric acid levels only modestly. Together the SNPs showed graded associations with uric acid levels of 0.111mg/dL per risk allele (p=3.8×10-42). In addition, we observed a sex-specific interaction of age with the association of SLC2A9 SNPs with uric acid levels, where increasing age strengthened the association of SNPs in women and decreased the association in men. Conclusions: Genetic variants within SLC2A9, ABCG2 and SLC17A3 show highly significant associations with uric acid levels, and for SNPs within SLC2A9 this association is strongly modified by age and sex.

Original languageEnglish
Pages (from-to)474-478
Number of pages5
JournalAtherosclerosis
Volume210
Issue number2
DOIs
Publication statusPublished - Jun 2010
Externally publishedYes

Fingerprint

Uric Acid
Single Nucleotide Polymorphism
Alleles
Gout
Atherosclerosis
Research Design
Cardiovascular Diseases
Serum
Genes

Keywords

  • Copy number variation
  • Epidemiology
  • Genetic risk score
  • Genetics
  • Sex-specific effect
  • Uric acid

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Brandstätter, A., Lamina, C., Kiechl, S., Hunt, S., Coassin, S., Paulweber, B., ... Kronenberg, F. (2010). Sex and age interaction with genetic association of atherogenic uric acid concentrations. Atherosclerosis, 210(2), 474-478. https://doi.org/10.1016/j.atherosclerosis.2009.12.013

Sex and age interaction with genetic association of atherogenic uric acid concentrations. / Brandstätter, Anita; Lamina, Claudia; Kiechl, Stefan; Hunt, Steven; Coassin, Stefan; Paulweber, Bernhard; Kramer, Felix; Summerer, Monika; Willeit, Johann; Kedenko, Lyudmyla; Adams, Ted D.; Kronenberg, Florian.

In: Atherosclerosis, Vol. 210, No. 2, 06.2010, p. 474-478.

Research output: Contribution to journalArticle

Brandstätter, A, Lamina, C, Kiechl, S, Hunt, S, Coassin, S, Paulweber, B, Kramer, F, Summerer, M, Willeit, J, Kedenko, L, Adams, TD & Kronenberg, F 2010, 'Sex and age interaction with genetic association of atherogenic uric acid concentrations', Atherosclerosis, vol. 210, no. 2, pp. 474-478. https://doi.org/10.1016/j.atherosclerosis.2009.12.013
Brandstätter, Anita ; Lamina, Claudia ; Kiechl, Stefan ; Hunt, Steven ; Coassin, Stefan ; Paulweber, Bernhard ; Kramer, Felix ; Summerer, Monika ; Willeit, Johann ; Kedenko, Lyudmyla ; Adams, Ted D. ; Kronenberg, Florian. / Sex and age interaction with genetic association of atherogenic uric acid concentrations. In: Atherosclerosis. 2010 ; Vol. 210, No. 2. pp. 474-478.
@article{b30226037fa849bc8daaf8f3b33e19d6,
title = "Sex and age interaction with genetic association of atherogenic uric acid concentrations",
abstract = "Background: High serum uric acid levels are associated with gout, atherosclerosis and cardiovascular disease. Three genes (SLC2A9, ABCG2, and SLC17A3) were reported to be involved in the regulation of uric acid levels. Research: Design and Methods: SNPs rs2231142 (ABCG2) and rs1165205 (SLC17A3) were genotyped in three cohorts (n= 4492) and combined with previously genotyped SNPs within SLC2A9 (rs6855911, rs7442295, rs6449213, rs12510549). Results: Each copy of the minor allele decreased uric acid levels by 0.30-0.38mg/dL for SLC2A9 (p values: 10-20-10-36) and increased levels by 0.34mg/dL for ABCG2 (p=1.1×10-16). SLC17A3 influenced uric acid levels only modestly. Together the SNPs showed graded associations with uric acid levels of 0.111mg/dL per risk allele (p=3.8×10-42). In addition, we observed a sex-specific interaction of age with the association of SLC2A9 SNPs with uric acid levels, where increasing age strengthened the association of SNPs in women and decreased the association in men. Conclusions: Genetic variants within SLC2A9, ABCG2 and SLC17A3 show highly significant associations with uric acid levels, and for SNPs within SLC2A9 this association is strongly modified by age and sex.",
keywords = "Copy number variation, Epidemiology, Genetic risk score, Genetics, Sex-specific effect, Uric acid",
author = "Anita Brandst{\"a}tter and Claudia Lamina and Stefan Kiechl and Steven Hunt and Stefan Coassin and Bernhard Paulweber and Felix Kramer and Monika Summerer and Johann Willeit and Lyudmyla Kedenko and Adams, {Ted D.} and Florian Kronenberg",
year = "2010",
month = "6",
doi = "10.1016/j.atherosclerosis.2009.12.013",
language = "English",
volume = "210",
pages = "474--478",
journal = "Atherosclerosis",
issn = "0021-9150",
publisher = "Elsevier Ireland Ltd",
number = "2",

}

TY - JOUR

T1 - Sex and age interaction with genetic association of atherogenic uric acid concentrations

AU - Brandstätter, Anita

AU - Lamina, Claudia

AU - Kiechl, Stefan

AU - Hunt, Steven

AU - Coassin, Stefan

AU - Paulweber, Bernhard

AU - Kramer, Felix

AU - Summerer, Monika

AU - Willeit, Johann

AU - Kedenko, Lyudmyla

AU - Adams, Ted D.

AU - Kronenberg, Florian

PY - 2010/6

Y1 - 2010/6

N2 - Background: High serum uric acid levels are associated with gout, atherosclerosis and cardiovascular disease. Three genes (SLC2A9, ABCG2, and SLC17A3) were reported to be involved in the regulation of uric acid levels. Research: Design and Methods: SNPs rs2231142 (ABCG2) and rs1165205 (SLC17A3) were genotyped in three cohorts (n= 4492) and combined with previously genotyped SNPs within SLC2A9 (rs6855911, rs7442295, rs6449213, rs12510549). Results: Each copy of the minor allele decreased uric acid levels by 0.30-0.38mg/dL for SLC2A9 (p values: 10-20-10-36) and increased levels by 0.34mg/dL for ABCG2 (p=1.1×10-16). SLC17A3 influenced uric acid levels only modestly. Together the SNPs showed graded associations with uric acid levels of 0.111mg/dL per risk allele (p=3.8×10-42). In addition, we observed a sex-specific interaction of age with the association of SLC2A9 SNPs with uric acid levels, where increasing age strengthened the association of SNPs in women and decreased the association in men. Conclusions: Genetic variants within SLC2A9, ABCG2 and SLC17A3 show highly significant associations with uric acid levels, and for SNPs within SLC2A9 this association is strongly modified by age and sex.

AB - Background: High serum uric acid levels are associated with gout, atherosclerosis and cardiovascular disease. Three genes (SLC2A9, ABCG2, and SLC17A3) were reported to be involved in the regulation of uric acid levels. Research: Design and Methods: SNPs rs2231142 (ABCG2) and rs1165205 (SLC17A3) were genotyped in three cohorts (n= 4492) and combined with previously genotyped SNPs within SLC2A9 (rs6855911, rs7442295, rs6449213, rs12510549). Results: Each copy of the minor allele decreased uric acid levels by 0.30-0.38mg/dL for SLC2A9 (p values: 10-20-10-36) and increased levels by 0.34mg/dL for ABCG2 (p=1.1×10-16). SLC17A3 influenced uric acid levels only modestly. Together the SNPs showed graded associations with uric acid levels of 0.111mg/dL per risk allele (p=3.8×10-42). In addition, we observed a sex-specific interaction of age with the association of SLC2A9 SNPs with uric acid levels, where increasing age strengthened the association of SNPs in women and decreased the association in men. Conclusions: Genetic variants within SLC2A9, ABCG2 and SLC17A3 show highly significant associations with uric acid levels, and for SNPs within SLC2A9 this association is strongly modified by age and sex.

KW - Copy number variation

KW - Epidemiology

KW - Genetic risk score

KW - Genetics

KW - Sex-specific effect

KW - Uric acid

UR - http://www.scopus.com/inward/record.url?scp=77953231300&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953231300&partnerID=8YFLogxK

U2 - 10.1016/j.atherosclerosis.2009.12.013

DO - 10.1016/j.atherosclerosis.2009.12.013

M3 - Article

VL - 210

SP - 474

EP - 478

JO - Atherosclerosis

JF - Atherosclerosis

SN - 0021-9150

IS - 2

ER -