Please use this identifier to cite or link to this item: /library/oar/handle/123456789/119127
Title: Association between a polygenic lipodystrophy genetic risk score and diabetes risk in the high prevalence Maltese population
Authors: Zammit, Maria
Agius, Rachel
Fava, Stephen
Vassallo, Josanne
Pace, Nikolai Paul
Keywords: Type 2 diabetes -- Malta -- Case studies
Insulin resistance -- Malta
Obesity -- Complications -- Malta -- Case studies
Dyslipidemias -- Pathophysiology
Lipodystrophy
Issue Date: 2024
Publisher: Springer
Citation: Zammit, M., Agius, R., Fava, S., Vassallo, J., & Pace, N. P. (2024). Association between a polygenic lipodystrophy genetic risk score and diabetes risk in the high prevalence Maltese population. Acta Diabetologica, 61(5), 555-564.
Abstract: Background: Type 2 diabetes (T2DM) is genetically heterogenous, driven by beta cell dysfunction and insulin resistance. Insulin resistance drives the development of cardiometabolic complications and is typically associated with obesity. A group of common variants at eleven loci are associated with insulin resistance and risk of both type 2 diabetes and coronary artery disease. These variants describe a polygenic correlate of lipodystrophy, with a high metabolic disease risk despite a low BMI. Objectives: In this cross-sectional study, we sought to investigate the association of a polygenic risk score composed of eleven lipodystrophy variants with anthropometric, glycaemic and metabolic traits in an island population characterised by a high prevalence of both obesity and type 2 diabetes. Methods: 814 unrelated adults (n = 477 controls and n = 337 T2DM cases) of Maltese-Caucasian ethnicity were genotyped and associations with phenotypes explored. Results: A higher polygenic lipodystrophy risk score was correlated with lower adiposity indices (lower waist circumference and body mass index measurements) and higher HOMA-IR, atherogenic dyslipidaemia and visceral fat dysfunction as assessed by the visceral adiposity index in the DM group. In crude and covariate-adjusted models, individuals in the top quartile of polygenic risk had a higher T2DM risk relative to individuals in the first quartile of the risk score distribution. Conclusion: This study consolidates the association between polygenic lipodystrophy risk alleles, metabolic syndrome parameters and T2DM risk particularly in normal-weight individuals. Our findings demonstrate that polygenic lipodystrophy risk alleles drive insulin resistance and diabetes risk independent of an increased BMI.
URI: https://www.um.edu.mt/library/oar/handle/123456789/119127
Appears in Collections:Scholarly Works - FacM&SMed



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