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Pharmacology and Therapeutics

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

  1. Nicole Soranzo, 1, 2,
  2. Serena Sanna, 3,
  3. Eleanor Wheeler, 1,
  4. Christian Gieger, 4,
  5. Dörte Radke, 5,
  6. Josée Dupuis, 6, 7,
  7. Nabila Bouatia-Naji, 8,
  8. Claudia Langenberg, 9,
  9. Inga Prokopenko, 10, 11,
  10. Elliot Stolerman, 12, 13, 14,
  11. Manjinder S. Sandhu, 9, 15, 16,
  12. Matthew M. Heeney, 17,
  13. Joseph M. Devaney, 18,
  14. Muredach P. Reilly, 19, 20 and
  15. Sally L. Ricketts, 15*
  1. Corresponding authors: Jose C. Florez, jcflorez{at}partners.org; Manuela Uda, manuela.uda{at}inn.cnr.it; Nicholas J. Wareham, nick.wareham{at}mrc-epid.cam.ac.uk; Inês Barroso, ib1{at}sanger.ac.uk; and James B. Meigs, jmeigs{at}partners.org.
  1. N.S., S.S., E.W., C.G., and D.R. contributed equally to this study.

Diabetes 2010 Dec; 59(12): 3229-3239. https://doi.org/10.2337/db10-0502
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  • FIG. 1.
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    FIG. 1.

    Manhattan plot and quantile-quantile (QQ) plot of association findings. The figure summarizes the genome-wide association scan results combined across all studies by inverse variance weighting. The blue dotted line marks the threshold for genome-wide significance (5 × 10−8). SNPs in loci exceeding this threshold are highlighted in green. A QQ plot is shown in the inset panel, where the red line corresponds to all test statistics, and the blue line to results after excluding statistics at all associated loci (highlighted in green in the Manhattan plot). The gray area corresponds to the 90% confidence region from a null distribution of P values (generated from 100 simulations). (A high-quality color representation of this figure is available in the online issue.)

  • FIG. 2.
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    FIG. 2.

    Regional association plots at the HbA1c loci. Each panel spans ± 250 kb around the most significant associated SNP in the region, which is highlighted with a blue square (panel C spans ± 300 kb). At the top of each panel, comb diagrams indicate the location of SNPs in the Illumina HumanHap 550K and Affymetrix 500K chips, and of SNPs imputed. The SNPs are colored according to their linkage disequilibrium with the top variant based on the CEU HapMap population (http://www.hapmap.org). Gene transcripts are annotated in the lower box, with the most likely biologic candidate highlighted in blue; ± indicates the direction of transcription. In panel C, a few gene names were omitted for clarity. Here, genes are, from left to right, SCGN, HIST1H2AA, HIST1H2BA, SLC17A4, SLC17A1, SLC17A3, SLC17A2, TRIM38, HIST1H1A, HIST1H3A, HIST1H4A, HIST1H4B, HIST1H3B, HIST1H2AB, HIST1H2BB, HIST1H3C, HIST1H1C, HFE, HIST1H4C, HIST1H1T, HIST1H2BC, HIST1H2AC, HIST1H1E, HIST1H2BD, HIST1H2BD, HIST1H2BE, HIST1H4D, HIST1H3D, HIST1H2AD, HIST1H2BF, HIST1H4E, HIST1H2BG, HIST1H2AE, HIST1H3E, HIST1H1D, HIST1H4F, HIST1H4G, HIST1H3F, HIST1H2BH, HIST1H3G, HIST1H2BI, and HIST1H4H. In panel D, the names of the first two genes, UBE2D4 and WBSCR19, were also omitted for clarity. (A high-quality color representation of this figure is available in the online issue.)

  • FIG. 3.
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    FIG. 3.

    Net reclassification when screening for undiagnosed diabetes, using HbA1c as a population-level measure of genetic effect size. The figure shows the distribution of HbA1c in the FHS and ARIC cohorts combined (N = 10,110), stratified by individuals with undiagnosed type 2 diabetes (UnDx DM, N = 593, black lines) or without diabetes (Non DM, N = 9,517, gray lines), and by HbA1c without adjustment (solid lines) or after adjustment for seven nonglycemic SNPs (dashed lines). The vertical dashed line is the diabetes diagnostic threshold at HbA1c ≥6.5(%). Net reclassification is the overall proportion of the population appropriately moved above or below this line by considering the genetic information. For instance, among individuals with undiagnosed diabetes, 39.5% had an unadjusted HbA1c level ≥6.5 (%) and 37.4% had a seven SNP-adjusted HbA1c level ≥6.5 (%), and among those with undiagnosed diabetes, 2.02% of those with undiagnosed diabetes were misclassified by the influence of the seven SNPs. The net reclassification is calculated as the difference −2.02% − (−0.17%) = −1.86%.

Tables

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  • TABLE 1

    Characteristics of 46,368 participants from 31 cohorts employed in the meta-analysis

    CohortN males/femalesAge (years) men/womenBMI (kg/m2) men/womenHbA1C (%, NGSP) men/womenFasting plasma glucose (mmol/l) men/women
    ARIC3,106/3,67157.4 (5.7)/56.7 (5.6)27.33 (3.89)/26.63 (5.30)5.41 (0.38)/5.37 (0.36)5.75 (0.50)/5.52 (0.50)
    B58C-T1DGC1,217/1,28445.3 (0.3)/45.2 (0.3)27.93 (4.12)/26.86 (5.5)5.18 (0.48)/5.22 (0.51)—
    B58C-WTCCC711/71744.9 (0.4)/44.9 (0.4)27.79 (4.21)/26.84 (5.41)5.21 (0.68)/5.21 (0.51)—
    BLSA253/23572.2 (13.5)/67.2 (15.6)26.99 (3.92)/25.87 (4.94)5.44 (0.53)/5.45 (0.45)5.25 (0.56)/4.99 (0.48)
    Croatia275/38454.8 (15.0)/55.2 (15.8)27.43 (3.65)/26.94 (4.59)5.25 (0.49)/5.31 (0.55)5.40 (0.66)/5.26 (0.65)
    deCODE170/17266.1 (14.4)/63.8 (16.0)28.20 (4.00)/28.0 (4.90)5.80 (0.95)/5.77 (1.25)—
    DESIR178/53853.1 (5.6)/49.5 (8.5)23.15 (1.16)/21.36 (1.85)5.25 (0.38)/5.16 (0.38)5.11 (0.32)/5.01 (0.38)
    DGI218/26259.1 (10.6)/59.5 (10.6)26.42 (3.12)/26.29 (4.29)5.73 (0.56)/5.61 (0.59)5.50 (0.52)/5.39 (0.45)
    DIAGEN429/57159.0 (14.2)/59.0 (15.4)27.08 (3.61)/26.80 (4.82)5.59 (0.65)/5.50 (0.61)—
    Epic 5,0001,732/1,62757.6 (9.4)/54.0 (9.0)25.75 (2.60)/24.84 (3.38)5.19 (0.55)/5.08 (0.55)—
    EPIC cases409/54860.8 (8.9)/60.2 (9.1)32.55 (2.53)/33.44 (3.24)5.58 (0.97)/5.47 (0.62)—
    EPIC cohort859/1,05261.3 (9.3)/60.0 (9.2)26.79 (3.31)/26.33 (4.36)5.38 (0.56)/5.32 (0.57)—
    Fenland606/77244.4 (7.4)/45.4 (7.2)27.56 (3.91)/26.59 (5.35)5.42 (0.37)/5.37 (0.37)5.01 (0.47)/4.74 (0.48)
    FHS886/1,11054.7 (10.0)/54.1 (9.9)27.85 (3.92)/26.13 (4.97)5.24 (0.62)/5.25 (0.61)5.36 (0.48)/5.14 (0.49
    GenomeEUtwin0/568—/55.1 (21.8)—/24.6 (4.18)—/5.11 (0.68)—/5.24 (0.55)
    HEALTH2000580/62549.1 (10.4)/51.7 (11.4)25.69 (3.26)/25.32 (4.19)5.22 (0.29)/5.06 (0.32)5.34 (0.48)/5.17 (0.42)
    Lolipop582/18853.2 (10.4)/51.2 (10.5)27.49 (3.92)/26.74 (5.33)5.05 (0.54)/5.34 (0.38)5.51 (1.45)/5.35 (1.75)
    LURIC215/19554.1 (12.6)/61.1 (11.1)26.90 (3.60)/26.60 (4.00)5.80 (0.60)/5.90 (0.60)—
    KORA F3711/75162.3 (10.2)/61.6 (10.1)27.89 (3.49)/27.70 (4.95)5.30 (0.38)/5.33 (0.31)—
    KORA S4844/89253.9 (8.9)/53.4 (8.8)27.91 (3.87)/27.25 (4.89)5.57 (0.46)/5.59 (0.45)—
    METSIM1,789/057.0 (7.3)/—26.63 (3.76)/—5.56 (0.32)/——
    NHANES III468/74651.3 (20.6)/51.4 (20.3)26.92 (4.85)/26.37 (5.81)5.38 (0.50)/5.15 (0.55)—
    NTR513/93947.7 (14.4)/43.3 (13.7)25.58 (3.28)/24.59 (4.02)5.27 (0.46)/5.28 (0.45)5.53 (0.51)/5.32 (0.51)
    ORCADES298/35353.7 (15.3)/52.2 (15.4)27.79 (4.14)/27.30 (5.11)5.40 (0.49)/5.41 (0.51)5.45 (0.51)/5.18 (0.49)
    Partners/Roche291/35752.7 (12.9)/52.5 (12.7)27.80 (5.20)/27.10 (7.30)5.49 (0.48)/5.47 (0.45)—
    PROCARDIS687/14460.5 (6.7)/62.8 (6.3)27.65 (3.58)/28.11 (4.98)5.98 (1.07)/6.17 (1.10)—
    SardiNIA1,418/1,92846.5 (17.1)/45.2 (16.0)26.36 (3.99)/24.65 (4.82)5.47 (0.52)/5.39 (0.45)4.96 (0.59)/4.67 (0.54)
    SHIP1,696/1,84249.0 (16.0)/47.0 (16.0)27.30 (3.90)/26.60 (5.20)5.3 (0.60)/5.2 (0.60)—
    Sorbs254/37646.6 (16.2)/46.4 (15.8)26.90 (3.60)/26.7 (5.50)5.35 (0.37)/5.36 (0.38)5.47 (0.49)/5.21 (0.57)
    SardiNIA stage2555/89046.4 (15.1)/46.3 (15.8)26.36 (3.48)/24.61 (4.60)5.45 (0.85)/5.31 (0.86)—
    Segovia274/30953 (12)/55 (12)27.35 (3.15)/27.41 (4.68)5.17(0.49)/5.17 (0.45)—
    • Data are mean (SD). Fifteen cohorts were included in the fasting-glucose adjusted analysis shown in Table 2 (ARIC, BLSA, CROATIA, Fenland, FHS, DESIR, GENOMEUTWIN, Lolipop, NTR, ORCADES, SardiNIA, KORA F4, DGI, Sorbs and Health2000). BLSA, DGI, Fenland, FHS, KORA F4 and Sorbs were used for analyses that included 2-h glucose. The mean (mmol/l), SE and N for 2-h glucose levels for males and females, respectively, were: 6.96 (2.47) (236)/6.42 (2.04) (207) in BLSA; 5.75 (1.20) (209)/6.15 (1.25) (254) in DGI; 5.27 (1.41) (600)/5.16 (1.35) (757) in Fenland, 5.744 (1.614) (858)/5.992 (1.707) (1,067) in FHS, and 5.19 (2.02) (254)/5.54 (1.96) (376) in Sorbs. Fasting glucose was not available in KORA S4, thus conditional models were run in KORA F4, a follow-up visit of KORA S4 samples. Mean and SE 2-h glucose levels in males and females, respectively, were: 5.66 (0.67)/5.60 (0.57) for HbA1C and 5.82 (1.20)/5.40 (1.01) for glucose. Cohorts in italics provided only de novo genotyping data). The means for Hb (g/l, males/females) were 148.39 (10.29)/135.94 (9.55) (KORA F3), 148.21 (10.00)/134.51 (9.15) (KORA F4), 152.38 (11.33)/136.56 (10.38) (NHANES III) and 148.54 (12.12)/130.83 (11.60) (SardiNIA). The means for MCV (pg, males/females) were 92.32 (3.91)/90.74 (4.08) (KORA F3), 92.04 (4.23)/90.83 (4.38) (KORA F4), 89.69 (4.45)/89.40 (4.34) (NHANES III) and 87.29 (9.28)/85.64 (9.22) (SardiNIA). The means for MCH (fl, males/females) were 31.22 (1.51)/30.60 (1.64) (KORA F3), 31.50 (1.62)/30.89 (1.73) (KORA F4), 30.50 (1.74)/30.22 (1.67) (NHANES III) and 29.14 (3.60)/28.40 (3.69) (SardiNIA). The means for Iron (ìmol/l, males/females) were 17.66 (5.34)/16.29 (5.25) (KORA F3), 22.41 (6.87)/20.53 (6.53) (KORA F4), 18.78 (6.53)/17.03 (6.96) (NHANES III) and 18.01 (6.23)/15.30 (5.98) (SardiNIA). The means for Transferrin (g/l, males/females) were 2.45 (0.33)/2.56 (0.36) (KORA F3), 2.51 (0.35)/2.54 ( 0.38) (KORA F4), n.a. (NHANES III) and 1.96 (0.52)/2.07 (0.579) (SardiNIA).

  • TABLE 2

    Associations with HbA1C of 10 independent loci identified in the meta-analysis

    SNPChrPos (B36)Nearest locusEffect/other alleleCEU freq (effect)HbA1C (%) associationHeterogeneity
    Freq (effect)Nβ (SE)Pχ2P valueQ PI2 (%)
    rs27791161156,852,039SPTA1T/C0.320.2734,6630.024 (0.004)2.75 × 10−90.6730.6060
    rs5529762169,616,945G6PC2/ABCB11G/A0.660.6440,420*0.047 (0.003)8.16 × 10−180.5960.5910
    rs1800562626,201,120HFEG/A0.960.9443,778*0.063 (0.007)2.59 × 10−200.6610.30011
    rs1799884744,002,308GCKT/C0.200.1845,591*0.038 (0.004)1.45 × 10−200.1870.12024
    rs6474359841,668,351ANK1T/C0.970.9729,9970.058 (0.011)1.18 × 10−80.3280.26715
    rs4737009841,749,562ANK1A/G0.280.2436,8620.027 (0.004)6.11 × 10−120.1820.18221
    rs169262461070,763,398HK1C/T0.890.9042,707*0.089 (0.004)3.11 × 10−540.3290.16221
    rs13871531192,313,476MTNR1BT/C0.280.2832,2930.028 (0.004)3.96 × 10−110.8670.8570
    rs799820213112,379,869ATP11A/TUBGCP3G/A0.150.1434,7240.031 (0.005)5.24 × 10−90.4150.3836
    rs10468961778,278,822FN3KT/C0.250.3145,953*0.035 (0.003)1.57 × 10−260.4500.4402
    rs8557912235,792,882TMPRSS6A/G0.390.4234,5620.027 (0.004)2.74 × 10−140.9700.9620
    • *Indicates SNPs for which additional de novo genotyping was performed in eight cohorts. The β coefficient denotes the per-effect allele increase in HbA1C (%) at that locus.

  • TABLE 3

    Associations with HbA1C of 10 independent loci conditioned on levels of fasting or 2-h glucose

    SNPNearest locusEffect/OtherFasting glucose2-h glucose
    HbA1C (%) adjusted for sex, ageHbA1C (%) adjusted for glucose, sex, ageFasting glucose (mmol/l) adjusted for sex, ageHbA1C (%) adjusted for sex. ageHbA1C (%) adjusted for 2 h-glucose, sex, age2-h glucose (mmol/l) adjusted for sex, age
    rs2779116SPTA1T/Cβ (SE)0.019 (0.004)0.017 (0.004)−0.001 (0.005)0.026 (0.008)0.029 (0.008)0.029 (0.037)
    P2.4 × 10−61.7 × 10−60.9009.6 × 10−42.9 × 10−40.432
    N20,70021,35921,5056,3946,3476,347
    rs552976G6PC2 /ABCB11G/Aβ (SE)0.028 (0.004)0.013 (0.003)0.060 (0.005)0.029 (0.007)0.027 (0.007)−0.021 (0.034)
    P4.5 × 10−152.0 × 10−56.3 × 10−366.1 × 10−51.4 × 10−40.538
    N23,49623,49623,6426,3936,3466,346
    rs1800562HFEG/Aβ (SE)0.054 (0.007)0.048 (0.006)−0.008 (0.010)0.095 (0.016)0.096 (0.016)0.086 (0.073)
    P3.1 × 10−132.5 × 10−140.4191.1 × 10−91.1 × 10−90.239
    N23,50323,50323,6496,3896,3426,342
    rs1799884GCKT/Cβ (SE)0.030 (0.005)0.018 (0.004)0.053 (0.0063)0.037 (0.010)0.039 (0.010)0.111 (0.046)
    P5.6 × 10−117.3 × 10−64.7 × 10−171.3 × 10−46.2 × 10−50.0143
    N23,49723,49723,6436,3946,3476,347
    rs4737009ANK1A/Gβ (SE)0.023 (0.004)0.017 (0.004)0.010 (0.006)0.023 (0.008)0.025 (0.008)−0.049 (0.038)
    P3.2 × 10−82.7 × 10−60.0724.4 × 10−32.3 × 10−30.197
    N21,35521,35521,5016,3906,3436,343
    rs16926246HK1C/Tβ (SE)0.073 (0.007)0.069 (0.006)−0.013 (0.009)0.010 (0.017)0.097 (0.017)0.012 (0.092)
    P4.8 × 10−266.4 × 10−300.1781.6 × 10−91.3 × 10−80.899
    N22,40422,40422,5505,3015,2545,254
    rs1387153MTNR1BT/Cβ (SE)0.027 (0.004)0.013 (0.004)0.056 (0.006)0.035 (0.008)0.032 (0.009)0.036 (0.040)
    P1.9 × 10−112.2 × 10−41.8 × 10−233.1 × 10−51.5 × 10−40.362
    N20,16220,16220,3086,3946,3476,347
    rs7998202ATP11A/TUBGCP3G/Aβ (SE)0.027 (0.006)0.023 (0.005)0.013 (0.008)0.041 (0.012)0.035 (0.012)−0.035 (0.054)
    P3.4 × 10−61.3 × 10−50.1084.0 × 10−42.6 × 10−30.512
    N21,35921,35921,5056,3946,3476,347
    rs1046896FN3KT/Cβ (SE)0.030 (0.004)0.026 (0.003)0.005 (0.005)0.045 (0.008)0.043 (0.008)−0.011 (0.036)
    P2.0 × 10−161.0 × 10−150.3433.0 × 10−92.0 × 10−80.753
    N23,49623,49623,6426,3936,3466,346
    rs855791TMPRSS6A/Gβ (SE)0.020 (0.004)0.019 (0.003)−0.006 (0.005)0.024 (0.008)0.022 (0.008)0.009 (0.036)
    P6.7 × 10−88.3 × 10−90.2231.7 × 10−36.1 × 10−30.815
    N23,50823,50823,6546,3946,3476,347
    • β (SE) is the per-effect allele increase in HbA1C (%) as in Table 2. For analyses conditional on fasting glucose, data were available for up to 23,654 samples from 15 cohorts (ARIC, BLSA, CROATIA, Fenland, FHS, DESIR, GENOMEUTWIN, Lolipop, NTR, ORCADES, SardiNIA, KORA F4, DGI, Sorbs and Health2000). For analyses conditional on 2-h glucose, data were available for only a smaller set of six cohorts totaling up to 6,394 samples (BLSA, Fenland, FHS, KORA F4, DGI and Sorbs). The SNP association with HbA1C after adjusting for fasting glucose is attenuated most at the G6PC2/ABCB11, GCK and MTNR1B loci. Associations at ANK1 are given for rs4737009, with the ANK1 SNP showing the strongest association with HbA1C.

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Common Variants at 10 Genomic Loci Influence Hemoglobin A1C Levels via Glycemic and Nonglycemic Pathways
Nicole Soranzo, Serena Sanna, Eleanor Wheeler, Christian Gieger, Dörte Radke, Josée Dupuis, Nabila Bouatia-Naji, Claudia Langenberg, Inga Prokopenko, Elliot Stolerman, Manjinder S. Sandhu, Matthew M. Heeney, Joseph M. Devaney, Muredach P. Reilly, Sally L. Ricketts
Diabetes Dec 2010, 59 (12) 3229-3239; DOI: 10.2337/db10-0502

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Common Variants at 10 Genomic Loci Influence Hemoglobin A1C Levels via Glycemic and Nonglycemic Pathways
Nicole Soranzo, Serena Sanna, Eleanor Wheeler, Christian Gieger, Dörte Radke, Josée Dupuis, Nabila Bouatia-Naji, Claudia Langenberg, Inga Prokopenko, Elliot Stolerman, Manjinder S. Sandhu, Matthew M. Heeney, Joseph M. Devaney, Muredach P. Reilly, Sally L. Ricketts
Diabetes Dec 2010, 59 (12) 3229-3239; DOI: 10.2337/db10-0502
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