Back to search

Article

ML-Guided GWAS Reveals Genetic Architectures for MASLD for Overweight and Lean Individuals in the <i>All of Us</i> Cohort

2025-12-20

Abstract excerpt

Metabolic dysfunction-associated steatotic liver disease (MASLD) arises from excessive hepatic fat accumulation that triggers inflammation and liver injury. It is the most prevalent chronic liver disease worldwide, affecting more than one quarter of adults. Despite this, MASLD is often underdiagnosed, making it more difficult to perform genome-wide association studies (GWAS). In this paper, we implemented a machin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
5786a269-ebc6-59d2-86c6-70c782c31a7a
DOI
10.64898/2025.12.18.25342567
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
ML-Guided GWAS Reveals Genetic Architectures for MASLD for Overweight and Lean Individuals in the <i>All of Us</i> CohortDOI 10.64898/2025.12.18.25342567
Select a neighboring publication to make it the new centre.