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and glycated albumin are potentially useful alternatives to hemoglobin A1c (HbA1c) 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 RCN3, was associated with fructosamine (P = 5.3 \u00d7 10\u22129) and rs1260236, a known diabetes-related missense mutation in GCKR, was associated with percent glycated albumin (P = 5.9 \u00d7 10\u22129) and replicated in CARDIA. We also found two novel associations among blacks: an intergenic SNP, rs2438321, associated with fructosamine (P = 6.2 \u00d7 10\u22129), and an intronic variant in PRKCA, rs59443763, associated with percent glycated albumin (P = 4.1 \u00d7 10\u22129), but these results did not replicate. Few established fasting glucose or HbA1c 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.<\/jats:p>","DOI":"10.2337\/db17-1362","type":"journal-article","created":{"date-parts":[[2018,5,29]],"date-time":"2018-05-29T13:55:23Z","timestamp":1527602123000},"page":"1684-1696","update-policy":"https:\/\/doi.org\/10.2337\/ada-journal-policies","source":"Crossref","is-referenced-by-count":18,"title":["Genome-Wide Association Study of Serum Fructosamine and Glycated Albumin in Adults Without Diagnosed Diabetes: Results From the Atherosclerosis Risk in Communities Study"],"prefix":"10.2337","volume":"67","author":[{"given":"Stephanie J.","family":"Loomis","sequence":"first","affiliation":[{"name":"Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, 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P.","family":"Carson","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James S.","family":"Pankow","sequence":"additional","affiliation":[{"name":"Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Boerwinkle","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, The University of Texas Health Science Center at Houston School of Public Health at Houston, Houston, TX"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Scharpf","sequence":"additional","affiliation":[{"name":"Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura 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