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ABSTRACT: Background & aims
Genetic information is not yet used for the clinical diagnosis of advanced fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Herein, we investigated whether incorporating genetic information regarding PNPLA3 and TM6SF2 into existing non-invasive fibrosis scoring systems could improve their predictive accuracy, particularly in patients with type 2 diabetes mellitus (T2DM), a high-risk population for MASLD-related complications.Methods
Data were collected from a cohort of 637 patients with biopsy-proven MASLD. All participants underwent liver stiffness measurement (LSM), serum marker analysis, and genotyping for PNPLA3 (rs738409), TM6SF2 (rs58542926), and other relevant single nucleotide p
SUBMITTER: Kim DY
PROVIDER: S-EPMC12857344 | biostudies-literature | 2026 Feb
REPOSITORIES: biostudies-literature