Indian Institute of Public Health-Delhi, Public Health Foundation of India, Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
Int J Obes (Lond). 2024 Nov;48(11):1552-1558. doi: 10.1038/s41366-024-01570-y. Epub 2024 Jul 7.
Obesity is among the leading public health threats globally. Over the last few years, visceral adiposity index (VAI), and body adiposity index (BAI), derived from anthropometric, and biochemical measures, have gained importance as a measure of obesity. However, unlike other common indices like body mass index, and waist circumference, the genetic predisposition of VAI, and BAI under-examined.
2265 sib-pairs from Indian Migration Study were used for examining the association of genetic variants from the Cardio-Metabochip array with VAI, and BAI. Mixed linear regression models were run, and all inferences were based on the within-sib component of the Fulker's association models. Gene-environment/lifestyle interaction analyses were also undertaken.
rs6659428 at LOC400796 | SEC16B (β = 0.26, SE = 0.05), and rs7611535 at DRD3 | LOC645180 (β = 0.18, SE = 0.04) were associated with VAI at suggestive significance value of <8.21 × 10. For BAI, rs73300702 at JAZF1-AS1 (β = 0.27, SE = 0.06), was the top hit at p value < 8.21 × 10. Further, rs6659428 showed marginal effect modification with rural/urban location (β = 0.26, SE = 0.13, p value = 0.047), and rs73300702 with physical activity (β = -0.29,SE = 0.14, p value = 0.034).
We report three novel genetic loci for VAI, and BAI in Indians that are important indicators of adiposity. These findings need to be replicated and validated with larger samples from different ethnicities. Further, functional studies for understanding the biological mechanisms of these adiposity indices need to be undertaken to understand the underlying pathophysiology.
肥胖是全球主要的公共卫生威胁之一。在过去的几年中，内脏脂肪指数（VAI）和身体脂肪指数（BAI）作为衡量肥胖的指标，已从人体测量和生化指标中得到了重视。然而，与身体质量指数和腰围等其他常见指数不同，VAI 和 BAI 的遗传易感性尚未得到充分研究。
利用来自印度移民研究的 2265 对同胞对，研究来自心脏代谢芯片阵列的遗传变异与 VAI 和 BAI 的关联。采用混合线性回归模型进行分析，所有推论均基于 Fulker 关联模型的同胞内成分。还进行了基因-环境/生活方式相互作用分析。
在提示性显著水平<8.21×10-8 时，LOC400796|SEC16B 上的 rs6659428（β=0.26，SE=0.05）和 DRD3|LOC645180 上的 rs7611535（β=0.18，SE=0.04）与 VAI 相关。对于 BAI，JAZF1-AS1 上的 rs73300702（β=0.27，SE=0.06）是在 p 值<8.21×10-8 时的最高命中。此外，rs6659428 与城乡位置（β=0.26，SE=0.13，p 值=0.047）呈边缘性效应修饰，rs73300702 与体力活动（β=-0.29，SE=0.14，p 值=0.034）呈边缘性效应修饰。
我们报道了印度人 VAI 和 BAI 的三个新的遗传位点，这些位点是肥胖的重要指标。这些发现需要在不同种族的更大样本中进行复制和验证。此外，还需要进行功能研究以了解这些肥胖指数的生物学机制，从而了解潜在的病理生理学。
