Banerjee Deepro, Girirajan Santhosh
medRxiv. 2025 Feb 28:2024.10.13.24315422. doi: 10.1101/2024.10.13.24315422.
Gene discoveries in obesity have largely relied on homogeneous populations, limiting their generalizability across ancestries. We performed a gene-based rare variant association study of BMI on 839,110 individuals from six ancestries across two population-scale biobanks. A cross-ancestry meta-analysis identified 13 genes, including five novel ones: , , , , and , that conferred about three-fold risk for severe obesity, were expressed in the brain and adipose tissue, and were linked to obesity traits such as body-fat percentage. While , and showed consistent effects, and showed significant ancestral heterogeneity. Polygenic risk additively increased obesity penetrance, and phenome-wide studies identified additional associations, including with altered mental status. These genes also influenced cardiometabolic comorbidities, including and towards type 2 diabetes with or without BMI as a mediator, and altered levels of plasma proteins, such as LECT2 and NCAN, which in turn affected BMI. Our findings provide insights into the genetic basis of obesity and its related comorbidities across ancestries and ascertainments.
肥胖领域的基因发现很大程度上依赖于同质化人群,这限制了其在不同血统间的普遍性。我们对来自两个人口规模生物样本库的六个血统的839,110名个体进行了基于基因的体重指数罕见变异关联研究。一项跨血统荟萃分析确定了13个基因,其中包括5个新基因: 、 、 、 和 ,这些基因赋予严重肥胖约三倍的风险,在大脑和脂肪组织中表达,并与诸如体脂百分比等肥胖特征相关。虽然 、 和 显示出一致的效应,但 和 表现出显著的血统异质性。多基因风险累加增加肥胖的外显率,全表型组研究确定了其他关联,包括 与精神状态改变有关。这些基因还影响心血管代谢合并症,包括 和 与2型糖尿病的关联,无论有无体重指数作为中介,以及血浆蛋白水平的改变,如LECT2和NCAN,进而影响体重指数。我们的研究结果为肥胖及其相关合并症在不同血统和确定方法中的遗传基础提供了见解。