Menu
Currency
GWAS Study

A genome-wide association study implicates multiple mechanisms influencing raised urinary albumin-creatinine ratio.

Casanova F, Tyrrell J, Beaumont RN et al.

31630189 PubMed ID
GWAS Study Type
497157 Participants
57 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

CF
Casanova F
TJ
Tyrrell J
BR
Beaumont RN
JY
Ji Y
JS
Jones SE
HA
Hattersley AT
WM
Weedon MN
MA
Murray A
SA
Shore AC
FT
Frayling TM
WA
Wood AR
Chapter II

Abstract

Summary of the research findings

Raised albumin-creatinine ratio (ACR) is an indicator of microvascular damage and renal disease. We aimed to identify genetic variants associated with raised ACR and study the implications of carrying multiple ACR-raising alleles with metabolic and vascular-related disease. We performed a genome-wide association study of ACR using 437 027 individuals from the UK Biobank in the discovery phase, 54 527 more than previous studies, and followed up our findings in independent studies. We identified 62 independent associations with ACR across 56 loci (P < 5 × 10-8), of which 20 were not previously reported. Pathway analyses and the identification of 20 of the 62 variants (at r2 > 0.8) coinciding with signals for at least 16 related metabolic and vascular traits, suggested multiple pathways leading to raised ACR levels. After excluding variants at the CUBN locus, known to alter ACR via effects on renal absorption, an ACR genetic risk score was associated with a higher risk of hypertension, and less strongly, type 2 diabetes and stroke. For some rare genotype combinations at the CUBN locus, most individuals had ACR levels above the microalbuminuria clinical threshold. Contrary to our hypothesis, individuals carrying more CUBN ACR-raising alleles, and above the clinical threshold, had a higher frequency of vascular disease. The CUBN allele effects on ACR were twice as strong in people with diabetes-a result robust to an optimization-algorithm approach to simulating interactions, validating previously reported gene-diabetes interactions (P ≤ 4 × 10-5). In conclusion, a variety of genetic mechanisms and traits contribute to variation in ACR.

437,027 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

497157
Total Participants
GWAS
Study Type
Yes
Replicated
60,130 individuals
Replication Participants
European
Ancestry
U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

AI Summary In Progress

Our AI-generated summary of this publication is being prepared. Please check back soon.