Key result
Genetic loci for fat distribution link distinct biologic mechanisms to divergent cardiometabolic risks.
Why the study?
Excess adiposity is a major cardiometabolic risk factor, but body mass index incompletely captures risk due to heterogeneity in fat storage and ectopic lipid accumulation mechanisms.
This review highlights variant-to-function strategies and scalable approaches to accelerate biological learning from genetic discovery and translate these insights into adipose-directed therapeutics for cardiometabolic disease.
May inform fat distribution–based risk assessment beyond BMI; leaves open adipose-targeted therapies pending functional validation.
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.
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Burton et al. (2026) conducted a review in Cardiometabolic disease. Human genetic studies have identified thousands of genetic loci influencing fat storage and distribution, revealing distinct underlying mechanisms with divergent cardiometabolic consequences.
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