脂肪组织
生物
全基因组关联研究
疾病
生物信息学
表型
遗传学
胰岛素抵抗
肥胖
脂肪生成
人类遗传学
2型糖尿病
胰岛素
糖尿病
体质指数
遗传变异
计算生物学
个性化医疗
遗传变异
医学
基因组学
遗传异质性
遗传关联
数量性状位点
脂质代谢
内分泌学
精密医学
遗传倾向
2型糖尿病
作者
Elizabeth A. Burton,Victor Svenstrup,Mayank Murali,Hesam Dashti,Ruth J. F. Loos,Melina Claussnitzer
标识
DOI:10.1161/atvbaha.126.324811
摘要
Cardiometabolic diseases are a leading cause of global morbidity and mortality and arise from shared and distinct risk factors acting through interconnected biological pathways. Although excess adiposity is a major risk factor, body mass index incompletely captures cardiometabolic risk, reflecting heterogeneity in overall and regional fat storage capacity and ectopic lipid accumulation. Failure of subcutaneous adipose tissue to expand appropriately promotes lipid overflow into visceral and ectopic depots, contributing to insulin resistance, dyslipidemia, and organ dysfunction. Human genetic studies have identified thousands of genetic loci influencing fat storage, fat distribution, and ectopic lipid accumulation, revealing that these traits reflect distinct underlying mechanisms with divergent cardiometabolic consequences. Recent scaling of genetic discovery for refined adiposity and cardiometabolic phenotypes and multitrait genetic approaches have advanced understanding of adipose-driven disease heterogeneity. We highlight variant-to-function strategies to resolve causal pathways and discuss emerging scalable approaches to accelerate biological learning from genetic discovery and translate these insights into adipose-directed therapeutics for cardiometabolic disease.
科研通智能强力驱动
Strongly Powered by AbleSci AI