Systems Genomics Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi, 110067, India.
CSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.
Mol Genet Genomics. 2024 Sep 4;299(1):85. doi: 10.1007/s00438-024-02176-9.
Clinical biomarkers such as fasting glucose, HbA1c, and fasting insulin, which gauge glycemic status in the body, are highly influenced by diet. Indians are genetically predisposed to type 2 diabetes and their carbohydrate-centric diet further elevates the disease risk. Despite the combined influence of genetic and environmental risk factors, Indians have been inadequately explored in the studies of glycemic traits. Addressing this gap, we investigate the genetic architecture of glycemic traits at genome-wide level in 4927 Indians (without diabetes). Our analysis revealed numerous variants of sub-genome-wide significance, and their credibility was thoroughly assessed by integrating data from various levels. This identified key effector genes, ZNF470, DPP6, GXYLT2, PITPNM3, BEND7, and LORICRIN-PGLYRP3. While these genes were weakly linked with carbohydrate intake or glycemia earlier in other populations, our findings demonstrated a much stronger association in the Indian population. Associated genetic variants within these genes served as expression quantitative trait loci (eQTLs) in various gut tissues essential for digestion. Additionally, majority of these gut eQTLs functioned as methylation quantitative trait loci (meth-QTLs) observed in peripheral blood samples from 223 Indians, elucidating the underlying mechanism of their regulation of target gene expression. Specific co-localized eQTLs-meth-QTLs altered the binding affinity of transcription factors targeting crucial genes involved in glucose metabolism. Our study identifies previously unreported genetic variants that strongly influence the diet-glycemia relationship. These findings set the stage for future research into personalized lifestyle interventions integrating genetic insights with tailored dietary strategies to mitigate disease risk based on individual genetic profiles.
临床生物标志物,如空腹血糖、HbA1c 和空腹胰岛素,这些标志物可以衡量体内的血糖状态,它们受饮食的影响很大。印度人易患 2 型糖尿病,而他们以碳水化合物为主的饮食进一步增加了患病风险。尽管遗传和环境风险因素的综合影响,印度人在血糖特征的研究中一直没有得到充分的探索。为了解决这一差距,我们在 4927 名(无糖尿病)印度人中进行了全基因组范围内血糖特征的遗传结构研究。我们的分析揭示了许多具有亚基因组范围意义的变体,并且通过整合来自不同层次的数据,对其可信度进行了彻底评估。这确定了关键效应基因,包括 ZNF470、DPP6、GXYLT2、PITPNM3、BEND7 和 LORICRIN-PGLYRP3。虽然这些基因在其他人群中与碳水化合物摄入或血糖早期较弱相关,但我们的研究结果表明,它们在印度人群中存在更强的相关性。这些基因内的相关遗传变异作为表达数量性状基因座(eQTLs)存在于各种对消化至关重要的肠道组织中。此外,这些肠道 eQTLs 中的大多数作为甲基化数量性状基因座(meth-QTLs)存在于 223 名印度人的外周血样本中,阐明了它们调节靶基因表达的潜在机制。特定的共定位 eQTLs-meth-QTLs 改变了针对参与葡萄糖代谢的关键基因的转录因子的结合亲和力。我们的研究确定了以前未报道的遗传变异,这些变异强烈影响饮食与血糖的关系。这些发现为未来的研究奠定了基础,这些研究将遗传见解与定制的饮食策略相结合,根据个体的遗传特征,为个性化的生活方式干预措施来减轻疾病风险提供了方向。