Evidence map›Paper›PMID 40677695›Full record

ArticleJHEP reports : innovation in hepatology2025

Genetic variants influencing liver fat in normal-weight individuals of European ancestry.

Ignazio S Piras, Janith Don, Nicholas J Schork, Johanna K DiStefano

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ignazio S PirasTranslational Genomics Research Institute, Phoenix, AZ, USA.
Janith DonTranslational Genomics Research Institute, Phoenix, AZ, USA.
Nicholas J SchorkTranslational Genomics Research Institute, Phoenix, AZ, USA.
Johanna K DiStefanoTranslational Genomics Research Institute, Phoenix, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) occurs across a wide spectrum of body weights, yet the genetic determinants underlying hepatic steatosis in individuals with normal BMI remain underexplored. This study aimed to identify genetic variants associated with liver fat fraction in normal-weight individuals. Methods: We performed a genome-wide association study (GWAS) using magnetic resonance imaging-proton density fat fraction (MRI-PDFF) data from 10,918 normal-weight participants (BMI <25 kg/m Results: We identified 241 genome-wide significant variants in the CC-GWAS and 418 in the QT-GWAS, with most located on chromosomes 19 and 22, including known loci such as Conclusions: This study, one of the first to detect genome-wide associations for hepatic steatosis in normal-weight individuals, identified both novel and established genetic loci. These findings highlight the role of genetic susceptibility independent of obesity-related pathways and may inform targeted strategies for MASLD prevention and treatment in this understudied population. Impact and implications: This study provides new insights into the genetic risk factors underlying metabolic dysfunction-associated steatotic liver disease in individuals with a normal BMI, a group often under-represented in steatotic liver disease research. Leveraging large-scale genomic and imaging data from the UK Biobank, we identified both known and novel variants associated with liver fat accumulation, emphasizing that genetic predisposition can drive hepatic steatosis independently of excess adiposity. While the study is based on individuals of European ancestry, future research should assess the relevance of these findings in more diverse populations to ensure broader clinical applicability. These results may help inform future strategies for early risk stratification and targeted prevention in metabolically vulnerable, normal-weight individuals.

Indexed as

Fine mappingGWASHepatic steatosisMASLDTWAS

Identifiers

PMID40677695
PMCPMC12270618

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