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Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways.

Authors :
Soranzo N
Sanna S
Wheeler E
Gieger C
Radke D
Dupuis J
Bouatia-Naji N
Langenberg C
Prokopenko I
Stolerman E
Sandhu MS
Heeney MM
Devaney JM
Reilly MP
Ricketts SL
Stewart AF
Voight BF
Willenborg C
Wright B
Altshuler D
Arking D
Balkau B
Barnes D
Boerwinkle E
Böhm B
Bonnefond A
Bonnycastle LL
Boomsma DI
Bornstein SR
Böttcher Y
Bumpstead S
Burnett-Miller MS
Campbell H
Cao A
Chambers J
Clark R
Collins FS
Coresh J
de Geus EJ
Dei M
Deloukas P
Döring A
Egan JM
Elosua R
Ferrucci L
Forouhi N
Fox CS
Franklin C
Franzosi MG
Gallina S
Goel A
Graessler J
Grallert H
Greinacher A
Hadley D
Hall A
Hamsten A
Hayward C
Heath S
Herder C
Homuth G
Hottenga JJ
Hunter-Merrill R
Illig T
Jackson AU
Jula A
Kleber M
Knouff CW
Kong A
Kooner J
Köttgen A
Kovacs P
Krohn K
Kühnel B
Kuusisto J
Laakso M
Lathrop M
Lecoeur C
Li M
Li M
Loos RJ
Luan J
Lyssenko V
Mägi R
Magnusson PK
Mälarstig A
Mangino M
Martínez-Larrad MT
März W
McArdle WL
McPherson R
Meisinger C
Meitinger T
Melander O
Mohlke KL
Mooser VE
Morken MA
Narisu N
Nathan DM
Nauck M
O'Donnell C
Oexle K
Olla N
Pankow JS
Payne F
Peden JF
Pedersen NL
Peltonen L
Perola M
Polasek O
Porcu E
Rader DJ
Rathmann W
Ripatti S
Rocheleau G
Roden M
Rudan I
Salomaa V
Saxena R
Schlessinger D
Schunkert H
Schwarz P
Seedorf U
Selvin E
Serrano-Ríos M
Shrader P
Silveira A
Siscovick D
Song K
Spector TD
Stefansson K
Steinthorsdottir V
Strachan DP
Strawbridge R
Stumvoll M
Surakka I
Swift AJ
Tanaka T
Teumer A
Thorleifsson G
Thorsteinsdottir U
Tönjes A
Usala G
Vitart V
Völzke H
Wallaschofski H
Waterworth DM
Watkins H
Wichmann HE
Wild SH
Willemsen G
Williams GH
Wilson JF
Winkelmann J
Wright AF
Zabena C
Zhao JH
Epstein SE
Erdmann J
Hakonarson HH
Kathiresan S
Khaw KT
Roberts R
Samani NJ
Fleming MD
Sladek R
Abecasis G
Boehnke M
Froguel P
Groop L
McCarthy MI
Kao WH
Florez JC
Uda M
Wareham NJ
Barroso I
Meigs JB
Source :
Diabetes [Diabetes] 2010 Dec; Vol. 59 (12), pp. 3229-39. Date of Electronic Publication: 2010 Sep 21.
Publication Year :
2010

Abstract

Objective: Glycated hemoglobin (HbA₁(c)), 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 HbA₁(c). We aimed to identify such genetic factors and investigate the extent to which they influence diabetes classification based on HbA₁(c) levels.<br />Research Design and Methods: We studied associations with HbA₁(c) 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 HbA₁(c) loci using a multilocus risk score, and used net reclassification to estimate genetic effects on diabetes screening.<br />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 × 10⁻²⁶), HFE (rs1800562/P = 2.6 × 10⁻²⁰), TMPRSS6 (rs855791/P = 2.7 × 10⁻¹⁴), ANK1 (rs4737009/P = 6.1 × 10⁻¹²), SPTA1 (rs2779116/P = 2.8 × 10⁻⁹) and ATP11A/TUBGCP3 (rs7998202/P = 5.2 × 10⁻⁹), and four known HbA₁(c) loci: HK1 (rs16926246/P = 3.1 × 10⁻⁵⁴), MTNR1B (rs1387153/P = 4.0 × 10⁻¹¹), GCK (rs1799884/P = 1.5 × 10⁻²⁰) and G6PC2/ABCB11 (rs552976/P = 8.2 × 10⁻¹⁸). We show that associations with HbA₁(c) 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 (% HbA₁(c)) difference between the extreme 10% tails of the risk score, and would reclassify ∼2% of a general white population screened for diabetes with HbA₁(c).<br />Conclusions: GWAS identified 10 genetic loci reproducibly associated with HbA₁(c). 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 HbA₁(c) levels via erythrocyte biology, and confer a small but detectable reclassification of diabetes diagnosis by HbA₁(c).

Details

Language :
English
ISSN :
1939-327X
Volume :
59
Issue :
12
Database :
MEDLINE
Journal :
Diabetes
Publication Type :
Academic Journal
Accession number :
20858683
Full Text :
https://doi.org/10.2337/db10-0502