Evidence map›Paper›PMID 35154322›Full record

ArticleJournal of oncology2022

Single Nucleotide Polymorphism of Genes Associated with Metabolic Fatty Liver Disease.

Tong Mu, Linrui Peng, Xinglei Xie, He He, Qing Shao, Xiran Wang, Yuwei Zhang

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Hepatogenomics of MAFLD in Asian Population: Genetic Polymorphisms and Pathway-Based Insights.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Review
  3. Review
  4. Impact of genotyping (Frontiers in endocrinology · 2025
    Article
  5. Article
  6. Relevance ofGenes · 2024
    Article
  7. Review
  8. Article
  9. Review
  10. Article
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

7 authors at 1 institution in 1 country.

Tong MuDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID https://orcid.org/0000-0002-8961-9293
Linrui PengDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Xinglei XieDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
He HeDepartment of Clinical Laboratory, West China Hospital, Sichuan University, Chengdu 610041, China.
Qing ShaoDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.
Xiran WangDepartment of Preventive Medicine, Sichuan University, Chengdu 610041, China.
Yuwei ZhangDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID https://orcid.org/0000-0001-7170-8653
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe present study aimed to reveal the relationship between single nucleotide polymorphism (SNP) of PNPLA3, TM6SF2, MBOAT7, GATAD2A, and STAT3 genes and metabolism-related fatty liver disease (MAFLD), so as to provide a research basis for further exploring the diagnosis and treatment of diseases at the molecular level.

methodsA total of 564 patients were included in the physical examination center of Xinjiang Karamay People's Hospital. They were divided into an MAFLD case group and a healthy control group. The whole blood DNA of each sample was extracted by a whole blood genomic DNA extraction kit, and the genotypes of PNPLA3 rs738409, MBOAT7 rs64173, STAT3 rs744166, TM6SF2 rs58542926, and GATAD2A rs4808199 were performed; after adjusting for confounding factors, the additive model, dominant model, and recessive model of each gene were analyzed by multivariate logistic regression.

resultsThe CC genotype of the PNPLA3 gene rs738409 and the TT genotype of the MBOAT7 gene rs64173 are risk factors in the occurrence of MAFLD. The AA genotype of the STAT3 gene rs744166 is a protective factor of MAFLD, while TM6SF2 rs58542926 and GATAD2A rs4808199 show no significant correlation with MAFLD.

Identifiers

PMID35154322
PMCPMC8831055
OpenAlexW4210790988

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.