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Dataset Information

The interplay of genetics and fatty acid metabolism: exploring their impact on metabolic syndrome in Swedish men.


ABSTRACT:

Background

Genetic risk variants for obesity and metabolic syndrome (MetS) have been identified, but their link to relevant metabolic health parameters warrants further attention. This study aimed to investigate the extent to which single-nucleotide polymorphisms (SNPs) associated with obesity are linked to changes in fatty acid (FA) profiles in serum cholesteryl esters, lipid metabolism, and MetS risk.

Method

Data from the Uppsala Longitudinal Study of Adult Men (ULSAM), conducted in men at age 50 (N = 1973) and age 70 (N = 982), were used to investigate SNPs associated with body mass index (BMI) in genome-wide association studies with metabolic parameters at age 50. The significant SNPs and associated lipid parameters were then used as predictors of MetS over a 20-year fol

SUBMITTER: Oskarsdottir H 

PROVIDER: S-EPMC12210471 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature