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. 2017 May 4;12(5):e0177148. doi: 10.1371/journal.pone.0177148

Table 2. Associations of SLC5A2 SNPs with serum glucagon concentrations during the 5-point OGTT.

Geno-type N Glucagon
0 min
(pmol/L)
Glucagon
30 min
(pmol/L)
Glucagon
60 min
(pmol/L)
Glucagon
90 min
(pmol/L)
Glucagon
120 min
(pmol/L)
Glucagon AUCi
0–120 min
(pmol/L)
Glucagon decrease
0–120 min
(fold-change)
rs9924771 GG 181 65.6 ± 25.0 62.4 ± 21.9 56.5 ± 21.2 53.5 ± 18.4 53.3 ± 19.3 21.4 ± 25.2 0.86 ± 0.27
GA 157 67.5 ± 25.0 61.8 ± 23.0 56.3 ± 21.1 53.7 ± 20.0 54.1 ± 18.9 24.6 ± 24.4 0.84 ± 0.25
AA 37 63.4 ± 20.4 63.5 ± 19.9 56.2 ± 20.0 54.7 ± 16.3 53.4 ± 14.9 16.7 ± 18.2 0.89 ± 0.24
padd / pdom - - 0.7 / 0.9 0.7 / 0.6 0.9 / 1.0 0.9 / 1.0 0.7 / 0.6 0.5 / 0.9 0.3 / 0.6
rs3116150 GG 211 66.0 ± 24.0 61.9 ± 21.0 56.1 ± 20.9 54.0 ± 19.1 53.8 ± 18.4 22.3 ± 25.5 0.86 ± 0.27
GA 141 67.3 ± 25.8 63.5 ± 24.1 56.8 ± 21.3 53.9 ± 18.6 53.6 ± 18.8 22.9 ± 22.8 0.83 ± 0.23
AA 23 60.6 ± 22.7 57.7 ± 20.0 55.5 ± 20.7 49.8 ± 18.2 52.6 ± 21.0 18.7 ± 23.8 0.92 ± 0.30
padd / pdom - - 0.8 / 0.8 0.8 / 0.9 0.7 / 0.7 0.5 / 0.8 0.7 / 0.8 1.0 / 0.8 0.9 / 0.5
rs3813008 GG 274 65.6 ± 24.5 61.8 ± 21.7 55.7 ± 20.5 53.5 ± 18.1 53.3 ± 18.5 22.1 ± 25.5 0.86 ± 0.26
GA 96 68.6 ± 25.2 63.9 ± 23.6 58.4 ± 22.6 54.3 ± 21.2 54.8 ± 19.6 24.0 ± 20.6 0.84 ± 0.25
AA 5 51.4 ± 11.6 57.3 ± 16.7 51.9 ± 16.6 56.5 ± 16.4 52.4 ± 15.1 -0.2 ± 8.7 1.01 ± 0.07
padd / pdom - - 0.8 / 0.5 0.6 / 0.5 0.3 / 0.2 0.8 / 0.8 0.4 / 0.4 0.5 / 1.0 0.5 / 0.8
rs9934336 GG 203 66.2 ± 24.4 62.4 ± 22.4 56.4 ± 20.5 54.2 ± 18.4 54.4 ± 18.6 21.8 ± 22.7 0.86 ± 0.25
GA 155 66.1 ± 25.2 61.9 ± 22.3 56.2 ± 22.2 52.6 ± 19.7 52.8 ± 18.9 23.3 ± 26.1 0.85 ± 0.26
AA 17 66.1 ± 21.9 63.2 ± 17.6 57.1 ± 15.6 58.7 ± 15.6 51.8 ± 17.6 18.3 ± 27.1 0.82 ± 0.32
padd / pdom - - 0.9 / 1.0 0.8 / 1.0 1.0 / 0.7 0.9 / 0.4 0.4 / 0.3 0.8 / 0.5 0.2 / 0.2

Glucagon concentrations are shown as unadjusted raw data (means ± SD). Prior to statistical analysis, non-normally distributed data were loge-transformed. Associations between SNP genotypes and glucagon concentrations were tested by multiple linear regression analysis (standard least squares method) with gender, age, BMI, and insulin sensitivity as covariates. All SNPs were analysed in the additive and dominant inheritance models (padd / pdom). AUCi–inverse area under the curve; OGTT–oral glucose tolerance test; SNP–single nucleotide polymorphism