Keaton Jacob M, Hellwege Jacklyn N, Ng Maggie C Y, Palmer Nicholette D, Pankow James S, Fornage Myriam, Wilson James G, Correa Adolfo, Rasmussen-Torvik Laura J, Rotter Jerome I, Chen Yii-DER I, Taylor Kent D, Rich Stephen S, Wagenknecht Lynne E, Freedman Barry I, Bowden Donald W
Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA2Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA3Center for Diabetes Research, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA.
Pac Symp Biocomput. 2017;22:242-253. doi: 10.1142/9789813207813_0024.
Type 2 diabetes (T2D) is the result of metabolic defects in insulin secretion and insulin sensitivity, yet most T2D loci identified to date influence insulin secretion. We hypothesized that T2D loci, particularly those affecting insulin sensitivity, can be identified through interaction with known T2D loci implicated in insulin secretion. To test this hypothesis, single nucleotide polymorphisms (SNPs) nominally associated with acute insulin response to glucose (AIRg), a dynamic measure of first-phase insulin secretion, and previously associated with T2D in genome-wide association studies (GWAS) were identified in African Americans from the Insulin Resistance Atherosclerosis Family Study (IRASFS; n=492 subjects). These SNPs were tested for interaction, individually and jointly as a genetic risk score (GRS), using GWAS data from five cohorts (ARIC, CARDIA, JHS, MESA, WFSM; n=2,725 cases, 4,167 controls) with T2D as the outcome. In single variant analyses, suggestively significant (Pinteraction < 5×10-6) interactions were observed at several loci including DGKB (rs978989), CDK18 (rs12126276), CXCL12 (rs7921850), HCN1 (rs6895191), FAM98A (rs1900780), and MGMT (rs568530). Notable beta-cell GRS interactions included two SNPs at the DGKB locus (rs6976381; rs6962498). These data support the hypothesis that additional genetic factors contributing to T2D risk can be identified by interactions with insulin secretion loci.
2型糖尿病(T2D)是胰岛素分泌和胰岛素敏感性代谢缺陷的结果,但迄今为止鉴定出的大多数T2D基因座都会影响胰岛素分泌。我们推测,可以通过与已知的参与胰岛素分泌的T2D基因座相互作用来鉴定T2D基因座,尤其是那些影响胰岛素敏感性的基因座。为了验证这一假设,在胰岛素抵抗动脉粥样硬化家族研究(IRASFS;n = 492名受试者)的非裔美国人中,鉴定出与葡萄糖急性胰岛素反应(AIRg,第一阶段胰岛素分泌的动态指标)名义上相关且先前在全基因组关联研究(GWAS)中与T2D相关的单核苷酸多态性(SNP)。使用来自五个队列(ARIC、CARDIA、JHS、MESA、WFSM;n = 2725例病例,4167名对照)以T2D为结局的GWAS数据,对这些SNP进行单独和作为遗传风险评分(GRS)联合的相互作用测试。在单变量分析中,在包括DGKB(rs978989)、CDK18(rs12126276)、CXCL12(rs7921850)、HCN1(rs6895191)、FAM98A(rs1900780)和MGMT(rs568530)在内的几个基因座观察到提示性显著(P相互作用< 5×10-6)的相互作用。值得注意的β细胞GRS相互作用包括DGKB基因座的两个SNP(rs6976381;rs6962498)。这些数据支持这样的假设,即通过与胰岛素分泌基因座的相互作用可以鉴定出导致T2D风险的其他遗传因素。