Statistical data of the SNPs' associations with indices of insulin release and ranking of the indices according to their lsn.

Seventeen subjects with calculated negative values were excluded (N = 1347). Prior to multiple linear regression analysis, all continuous variables were loge-transformed to approximate normal distribution. In the multiple linear regression models, the insulin secretion parameter was chosen as dependent variable, the SNP genotype (additive inheritance model) as independent variable and gender, age, BMI, and OGTT-derived insulin sensitivity as confounding variables. AUC – area under the curve; BMI – body mass index; CIR – cleared insulin response; DI – disposition index; HOMA-B – homeostasis model assessment of beta-cell function; IGI – insulinogenic index; lsn – least significant number (sample size expected to be needed to achieve statistical significance); SNP – single nucleotide polymorphism.

排除17例存在计算负值的受试者后，最终纳入分析的样本量为1347例（N=1347）。在开展多元线性回归分析前，对所有连续变量进行自然对数转换以近似服从正态分布。本研究的多元线性回归模型中，以胰岛素分泌参数作为因变量，单核苷酸多态性（single nucleotide polymorphism，SNP）基因型（加性遗传模型）作为自变量，并将性别、年龄、体质量指数（body mass index，BMI）以及口服葡萄糖耐量试验（OGTT）衍生的胰岛素敏感性作为混杂变量。AUC：曲线下面积（area under the curve）；BMI：体质量指数（body mass index）；CIR：清除胰岛素反应（cleared insulin response）；DI：处置指数（disposition index）；HOMA-B：β细胞功能稳态模型评估（homeostasis model assessment of beta-cell function）；IGI：胰岛素生成指数（insulinogenic index）；lsn：最小有效样本量（least significant number，即达到统计学显著性所需的预期样本量）；SNP：单核苷酸多态性（single nucleotide polymorphism）。