Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, UK.
Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG, UK.
Nat Commun. 2023 Jan 19;14(1):307. doi: 10.1038/s41467-022-35563-0.
Obesity remains an unmet global health burden. Detrimental anatomical distribution of body fat is a major driver of obesity-mediated mortality risk and is demonstrably heritable. However, our understanding of the full genetic contribution to human adiposity is incomplete, as few studies measure adiposity directly. To address this, we impute whole-body imaging adiposity phenotypes in UK Biobank from the 4,366 directly measured participants onto the rest of the cohort, greatly increasing our discovery power. Using these imputed phenotypes in 392,535 participants yielded hundreds of genome-wide significant associations, six of which replicate in independent cohorts. The leading causal gene candidate, ADAMTS14, is further investigated in a mouse knockout model. Concordant with the human association data, the Adamts14 mice exhibit reduced adiposity and weight-gain under obesogenic conditions, alongside an improved metabolic rate and health. Thus, we show that phenotypic imputation at scale offers deeper biological insights into the genetics of human adiposity that could lead to therapeutic targets.
肥胖仍然是一个未得到满足的全球健康负担。身体脂肪的有害解剖分布是肥胖介导的死亡风险的主要驱动因素,并且可明显遗传。然而,我们对人类肥胖的全部遗传贡献的理解并不完整,因为很少有研究直接测量肥胖。为了解决这个问题,我们将 UK Biobank 中 4366 名直接测量的参与者的全身成像肥胖表型内插到队列的其余部分,极大地提高了我们的发现能力。在 392535 名参与者中使用这些内插表型产生了数百个全基因组显著关联,其中 6 个在独立队列中得到复制。主要的候选因果基因 ADAMTS14 在小鼠敲除模型中进一步进行了研究。与人类关联数据一致,Adamts14 小鼠在肥胖条件下表现出脂肪量和体重增加减少,同时代谢率和健康状况得到改善。因此,我们表明,大规模表型内插为人类肥胖的遗传学提供了更深入的生物学见解,这可能导致治疗靶点。