Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA.
Obesity (Silver Spring). 2010 Feb;18(2):327-32. doi: 10.1038/oby.2009.216. Epub 2009 Jul 23.
Apolipoprotein A5 (APOA5) and lipoprotein lipase (LPL) proteins interact functionally to regulate lipid metabolism, and single-nucleotide polymorphisms (SNPs) for each gene have also been associated independently with obesity risk. Evaluating gene combinations may be more effective than single SNP analyses in identifying genetic risk, but insufficient minor allele frequency (MAF) often limits evaluations of potential epistatic relationships. Populations with multiple ancestral admixtures may provide unique opportunities for evaluating genetic interactions. We examined relationships between LPL m107 (rs1800590) and APOA5 S19W (rs3135506) and lipid and anthropometric measures in Caribbean origin Hispanics (n = 1,019, aged 45-75 years) living in the Boston metropolitan area. Significant interaction terms between LPL m107 and APOA5 S19W were observed for BMI (P = 0.003) and waist circumference (P = 0.019). Higher BMI (P = 0.001), waist (P = 0.011) and hip (P = 0.026) circumference were observed in minor allele (G) carriers for LPL m107 who also carried the APOA5 S19W minor allele (G). Additionally, extreme obesity (BMI > or = 40 kg/m(2)) risk was higher (odds ratio = 4.02; 95% confidence interval: 1.81-8.91; global P = 0.008) for minor allele carriers for both SNPs (LPL TG+GG, APOA5 CG+GG) compared to major allele carriers for both SNPs. In summary, we identified significant interactions for APOA5 S19W and LPL m107 for obesity in Caribbean Hispanics. Population-specific MAFs increase the difficulties of replicating gene-gene interactions, but may support the hypothesis that combinations of frequencies in selected genes could heighten obesity susceptibility in a given population. Analyses of gene-gene interactions may improve understanding of genetically based obesity risk, and underscore the need for further study of groups with multiple ancestral admixtures.
载脂蛋白 A5 (APOA5) 和脂蛋白脂肪酶 (LPL) 蛋白在功能上相互作用以调节脂质代谢,并且每个基因的单核苷酸多态性 (SNP) 也独立地与肥胖风险相关。评估基因组合可能比单 SNP 分析更有效地识别遗传风险,但由于次要等位基因频率 (MAF) 不足,通常限制了对潜在上位性关系的评估。具有多种祖先混合的人群可能为评估遗传相互作用提供独特的机会。我们研究了脂蛋白脂肪酶 m107 (rs1800590) 和载脂蛋白 A5 S19W (rs3135506) 与生活在波士顿大都市区的加勒比裔西班牙裔人 (n = 1,019,年龄 45-75 岁) 的脂质和人体测量指标之间的关系。在 BMI (P = 0.003) 和腰围 (P = 0.019) 中观察到 LPL m107 和 APOA5 S19W 之间存在显著的相互作用项。在 LPL m107 携带次要等位基因 (G) 的个体中,BMI (P = 0.001)、腰围 (P = 0.011) 和臀围 (P = 0.026) 更高携带载脂蛋白 A5 S19W 次要等位基因 (G)。此外,与两个 SNP 的主要等位基因携带者相比,两个 SNP 的次要等位基因携带者 (LPL TG+GG,APOA5 CG+GG) 的极端肥胖 (BMI >或= 40 kg/m(2)) 风险更高 (比值比 = 4.02;95%置信区间:1.81-8.91;全球 P = 0.008)。总之,我们在加勒比西班牙裔人中确定了 APOA5 S19W 和 LPL m107 与肥胖之间的显著相互作用。特定人群的 MAF 增加了复制基因-基因相互作用的难度,但可能支持这样一种假设,即选择基因中的频率组合可以增加特定人群的肥胖易感性。基因-基因相互作用的分析可以提高对基于遗传的肥胖风险的理解,并强调需要进一步研究具有多种祖先混合的群体。