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Genome-Wide Association Study of Serum Fructosamine and Glycated Albumin in Adults Without Diagnosed Diabetes: Results From the Atherosclerosis Risk in Communities Study.

Citation
Loomis, S. J., et al. “Genome-Wide Association Study Of Serum Fructosamine And Glycated Albumin In Adults Without Diagnosed Diabetes: Results From The Atherosclerosis Risk In Communities Study.”. Diabetes, pp. 1684-1696.
Center University of Alabama at Birmingham
Author Stephanie J Loomis, Man Li, Nisa M Maruthur, Abigail S Baldridge, Kari E North, Hao Mei, Alanna Morrison, April P Carson, James S Pankow, Eric Boerwinkle, Robert Scharpf, Laura J Rasmussen-Torvik, Josef Coresh, Priya Duggal, Anna Köttgen, Elizabeth Selvin
Abstract

Fructosamine and glycated albumin are potentially useful alternatives to hemoglobin A (HbA) as diabetes biomarkers. The genetic determinants of fructosamine and glycated albumin, however, are unknown. We performed genome-wide association studies of fructosamine and glycated albumin among 2,104 black and 7,647 white participants without diabetes in the Atherosclerosis Risk in Communities (ARIC) Study and replicated findings in the Coronary Artery Risk Development in Young Adults (CARDIA) study. Among whites, rs34459162, a novel missense single nucleotide polymorphism (SNP) in , was associated with fructosamine ( = 5.3 × 10) and rs1260236, a known diabetes-related missense mutation in , was associated with percent glycated albumin ( = 5.9 × 10) and replicated in CARDIA. We also found two novel associations among blacks: an intergenic SNP, rs2438321, associated with fructosamine ( = 6.2 × 10), and an intronic variant in , rs59443763, associated with percent glycated albumin ( = 4.1 × 10), but these results did not replicate. Few established fasting glucose or HbA SNPs were also associated with fructosamine or glycated albumin. Overall, we found genetic variants associated with the glycemic information captured by fructosamine and glycated albumin as well as with their nonglycemic component. This highlights the importance of examining the genetics of hyperglycemia biomarkers to understand the information they capture, including potential glucose-independent factors.

Year of Publication
2018
Journal
Diabetes
Volume
67
Issue
8
Number of Pages
1684-1696
Date Published
12/2018
ISSN Number
1939-327X
DOI
10.2337/db17-1362
Alternate Journal
Diabetes
PMID
29844224
PMCID
PMC6054442
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