Common Variants at 10 Genomic Loci Influence Hemoglobin A1C Levels via Glycemic and Nonglycemic Pathways

被引:338
作者
Soranzo, Nicole
Sanna, Serena
Wheeler, Eleanor
Gieger, Christian
Radke, Doerte
Dupuis, Josee
Bouatia-Naji, Nabila
Langenberg, Claudia
Prokopenko, Inga
Stolerman, Elliot
Sandhu, Manjinder S.
Heeney, Matthew M.
Devaney, Joseph M.
Reilly, Muredach P.
Ricketts, Sally L.
Stewart, Alexandre F. R.
Voight, Benjamin F.
Willenborg, Christina
Wright, Benjamin
Altshuler, David
Arking, Dan
Balkau, Beverley
Barnes, Daniel
Boerwinkle, Eric
Boehm, Bernhard
Bonnefond, Amelie
Bonnycastle, Lori L.
Boomsma, Dorret I.
Boinstein, Stefan R.
Boettcher, Yvonne
Bumpstead, Suzannah
Burnett-Miller, Mary Susan
Campbell, Harry
Cao, Antonio
Chambers, John
Clark, Robert
Collins, Francis S.
Coresh, Josef
de Geus, Eco J. C.
Dei, Mariano
Deloukas, Panos
Doering, Angela
Egan, Josephine M.
Elosua, Roberto
Ferrucci, Luigi
Forouhi, Nita
Fox, Caroline S.
Franklin, Christopher
Franzosi, Maria Grazia
Gallina, Sophie
机构
基金
英国医学研究理事会;
关键词
FASTING GLUCOSE; GENETIC HEMOCHROMATOSIS; BLOOD-CELLS; ASSOCIATION; POLYMORPHISM; PREVALENCE; MTNR1B;
D O I
10.2337/db10-0502
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
OBJECTIVE-Glycated hemoglobin (HbA(1c)), used to monitor and diagnose diabetes, is influenced by average glycemia over a 2- to 3-month period. Genetic factors affecting expression, turnover, and abnormal glycation of hemoglobin could also be associated with increased levels of HbA(1c). We aimed to identify such genetic factors and investigate the extent to which they influence diabetes classification based on HbA(1c) levels. RESEARCH DESIGN AND METHODS-We studied associations with HbA(1c) in up to 46,368 nondiabetic adults of European descent from 23 genome-wide association studies (GWAS) and 8 cohorts with de novo genotyped single nucleotide polymorphisms (SNPs). We combined studies using inverse-variance meta-analysis and tested mediation by glycemia using conditional analyses. We estimated the global effect of HbA(1c) loci using a multilocus risk score, and used net reclassification to estimate genetic effects on diabetes screening. RESULTS-Ten loci reached genome-wide significant association with HbA(1c), including six new loci near FN3K (lead SNP/P value, rs1046896/P = 1.6 x 10(-26)), HFE (rs1800562/P = 2.6 x 10(-20)), TMPRSS6 (rs855791/P = 2.7 x 10(-14)), ANK1 (rs4737009/P = 6.1 x 10(-12)), SPTA1 (rs2779116/P = 2.8 x 10(-9)) and ATP11A/TUBGCP3 (rs7998202/P = 5.2 x 10(-9)), and four known HbA(1c) loci: HK1 (rs16926246/P = 3.1 x 10(-54)), MTNR1B (rs1387153/P = 4.0 X 10(-11)), GCK (rs1799884/P = 1.5 x 10(-20)) and G6PC2/ABCB11 (rs552976/P = 8.2 x 10(-18)). We show that associations with HbA(1c) are partly a function of hyperglycemia associated with 3 of the 10 loci (GCK, G6PC2 and MTNR1B). The seven nonglycemic loci accounted for a 0.19 (%HbA(1c)) difference between the extreme 10% tails of the risk score, and would reclassify similar to 2% of a general white population screened for diabetes with HbA(1c). CONCLUSIONS-GWAS identified 10 genetic loci reproducibly associated with HbA(1c). Six are novel and seven map to loci where rarer variants cause hereditary anemias and iron storage disorders. Common variants at these loci likely influence HbA(1c) levels via erythrocyte biology, and confer a small but detectable reclassification of diabetes diagnosis by HbA(1c) Diabetes 59: 3229-3239, 2010
引用
收藏
页码:3229 / 3239
页数:11
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