Evidence map›Paper›PMID 38224715›Full record

ArticleGenomics & informatics2023

A genomic and bioinformatic-based approach to identify genetic variants for liver cancer across multiple continents.

Muhammad Ma'ruf, Lalu Muhammad Irham, Wirawan Adikusuma, Made Ary Sarasmita, Sabiah Khairi, Barkah Djaka Purwanto, Rockie Chong, Maulida Mazaya, Lalu Muhammad Harmain Siswanto

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Article in Genomics & informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 7 institutions in 3 countries.

Muhammad Ma'rufFaculty of Pharmacy, Universitas Ahmad Dahlan, Yogyakarta 55164, Indonesia.
Lalu Muhammad IrhamFaculty of Pharmacy, Universitas Ahmad Dahlan, Yogyakarta 55164, Indonesia.
Wirawan AdikusumaDepartement of Pharmacy, University of Muhammadiyah Mataram, Mataram 83127, Indonesia.
Made Ary SarasmitaDepartment of Clinical Pharmacy, College of Pharmacy, Taipei Medical University, Taipei 110, Taiwan.
Sabiah KhairiSchool of Nursing, College of Nursing, Taipei Medical University, Taipei 11031, Taiwan.
Barkah Djaka PurwantoFaculty of Medicine, Universitas Ahmad Dahlan, Yogyakarta 55191, Indonesia.
Rockie ChongDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Maulida MazayaResearch Center for Computing, Research Organization for Electronics and Informatics, National Research and Innovation Agency (BRIN), Cibinong Science Center, Cibinong 16911, Indonesia.
Lalu Muhammad Harmain SiswantoMataram Training Health Center, Indonesia Ministry of Health, Mataram 83237, Indonesia.
Universitas Ahmad Dahlan · IDMinistry of Health · IDNational Research and Innovation Agency · IDTaipei Medical University · TWUdayana University · IDUniversity of California, Los Angeles · USUniversity of Muhammadiyah Mataram · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer is the fourth leading cause of death worldwide. Well-known risk factors include hepatitis B virus and hepatitis C virus, along with exposure to aflatoxins, excessive alcohol consumption, obesity, and type 2 diabetes. Genomic variants play a crucial role in mediating the associations between these risk factors and liver cancer. However, the specific variants involved in this process remain under-explored. This study utilized a bioinformatics approach to identify genetic variants associated with liver cancer from various continents. Single-nucleotide polymorphisms associated with liver cancer were retrieved from the genome-wide association studies catalog. Prioritization was then performed using functional annotation with HaploReg v4.1 and the Ensembl database. The prevalence and allele frequencies of each variant were evaluated using Pearson correlation coefficients. Two variants, rs2294915 and rs2896019, encoded by the PNPLA3 gene, were found to be highly expressed in the liver tissue, as well as in the skin, cell-cultured fibroblasts, and adipose-subcutaneous tissue, all of which contribute to the risk of liver cancer. We further found that these two SNPs (rs2294915 and rs2896019) were positively correlated with the prevalence rate. Positive associations with the prevalence rate were more frequent in East Asian and African populations. We highlight the utility of this population-specific PNPLA3 genetic variant for genetic association studies and for the early prognosis and treatment of liver cancer. This study highlights the potential of integrating genomic databases with bioinformatic analysis to identify genetic variations involved in the pathogenesis of liver cancer. The genetic variants investigated in this study are likely to predispose to liver cancer and could affect its progression and aggressiveness. We recommend future research prioritizing the validation of these variations in clinical settings.

Indexed as

bioinformaticsgenomic variantsliver cancerPNPLA3rs2294915rs2896019

Identifiers

PMID38224715
PMCPMC10788354
OpenAlexW4390424712

What OpenQuestion holds

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Registered trials

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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.