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Multifaceted genome-wide study identifies novel regulatory loci in SLC22A11 and ZNF45 for body mass index in Indians

机译:多方面的基因组研究识别印第安人体重指数的SLC22A11和ZNF45中的新型调节基因座

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摘要

Obesity, a risk factor for multiple diseases (e.g. diabetes, hypertension, cancers) originates through complex interactions between genes and prevailing environment (food habit and lifestyle) that varies across populations. Indians exhibit a unique obesity phenotype with high abdominal adiposity for a given body weight compared to matched white populations suggesting presence of population-specific genetic and environmental factors influencing obesity. However, Indian population-specific genetic contributors for obesity have not been explored yet. Therefore, to identify potential genetic contributors, we performed a two-staged genome-wide association study (GWAS) for body mass index (BMI), a common measure to evaluate obesity in 5973 Indian adults and the lead findings were further replicated in 1286 Indian adolescents. Our study revealed novel association of variants-rs6913677 in BAI3 gene (p = 1.08 x 10(-8)) and rs2078267 in SLC22A11 gene (p = 4.62 x 10(-8)) at GWAS significance, and of rs8100011 in ZNF45 gene (p = 1.04 x 10(-7)) with near GWAS significance. As genetic loci may dictate the phenotype through modulation of epigenetic processes, we overlapped genetic data of identified signals with their DNA methylation patterns in 236 Indian individuals and performed methylation quantitative trait loci (meth-QTL) analysis. Further, functional roles of discovered variants and underlying genes were speculated using publicly available gene regulatory databases (ENCODE, JASPAR, GeneHancer, GTEx). The identified variants in BAI3 and SLC22A11 genes were found to dictate methylation patterns at unique CpGs harboring critical cis-regulatory elements. Further, BAI3, SLC22A11 and ZNF45 variants were located in repressive chromatin, active enhancer, and active chromatin regions, respectively, in human subcutaneous adipose tissue in ENCODE database. Additionally, these genomic regions represented potential binding sites for key transcription factors implicated in obesity and/or metabolic disorders. Interestingly, GTEx portal identify rs8100011 as a robust cis-expression quantitative trait locus (cis-eQTL) in subcutaneous adipose tissue (p = 1.6 x 10(-7)), and ZNF45 gene expression in skeletal muscle of Indian subjects showed an inverse correlation with BMI indicating its possible role in obesity. In conclusion, our study discovered 3 novel population-specific functional genetic variants (rs6913677, rs2078267, rs8100011) in 2 novel (SLC22A11 and ZNF45) and 1 earlier reported gene (BAI3) for BMI in Indians. Our study decodes key genomic loci underlying obesity phenotype in Indians that may serve as prospective drug targets in future.
机译:肥胖症,多种疾病的危险因素(例如糖尿病,高血压,癌症)来自基因与普遍存在环境(食品习惯和生活方式)之间的复杂相互作用。与匹配的白色群体表现出对影响肥胖症的群体特异性遗传和环境因素的匹配,印第安人为给定体重表现出具有高腹部肥胖的腹部肥胖,其具有高腹部肥胖。然而,尚未探讨印度人口特异性遗传贡献者尚未探讨。因此,为了鉴定潜在的遗传贡献者,我们对体重指数(BMI)进行了双分阶段的基因组关联研究(GWA),常见的措施评估5973名印度成人,并在1286印度进一步复制铅发现青少年。我们的研究揭示了在GWAS意义上的Bai3基因(p = 1.08×10(-8)中的变体-RS6913677和RS2078267的rs2078267(P = 4.62×10(-8)),在ZNF45基因中的rs8100011( P = 1.04 x 10(-7))附近GWAS意义。由于遗传基因座可以通过调节表孔方法来规定表型,我们在236个印度个体中与其DNA甲基化模式重叠鉴定信号的遗传数据,并进行了甲基化定量性状基因座(METH-QTL)分析。此外,使用公开可用的基因调节数据库(编码,jaspar,gtex)推测发现的变体和底层基因的功能性角色。发现Bai3和SLC22A11基因中的鉴定变体决定了含有关键顺式调节元件的独特CPG的甲基化模式。此外,Bai3,SLC22a11和ZnF45变体分别位于抑制染色质,活性增强剂和活性染色质区域中的人皮下脂肪组中的编码数据库中。另外,这些基因组区域代表潜在的结合位点,用于涉及肥胖症和/或代谢障碍的关键转录因子。有趣的是,GTEX门户识别RS8100011作为皮下脂肪组织中的鲁棒顺式表达定量性状基因座(CIS-EQTL)(P = 1.6×10(-7)),印度受试者的骨骼肌中的ZnF45基因表达显示出反向相关性BMI表明其在肥胖症中的可能作用。总之,我们的研究发现了3种新型群体特异性功能遗传变异(RS6913677,RS2078267,RS8100011),2种新颖(SLC22A11和ZNF45)和印度BMI的早期报告的基因(Bai3)。我们的研究在印第安人中解码了关键基因组基因座,这些肥胖表型未来可作为预期药物目标。

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