An Integrative Variant Scoring Function for Finding Novel Genes Associated with Ovarian and Thyroid Cancer.

Amanda Bataycan, Omodolapo Nurudeen, Jonathon E Mohl, Khodeza Begum Mitchell, Ming-Ying Leung

Abstract read

In one paragraph

Article in International journal of environmental research and public health, 2026. 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

–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

0 citing papers in PubMed.

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

5 authors.

Amanda BataycanComputational Science Program, The University of Texas at El Paso, El Paso, TX 79968, USA.

Omodolapo NurudeenBioinformatics Program, The University of Texas at El Paso, El Paso, TX 79968, USA.

Jonathon E MohlComputational Science Program, The University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0003-4440-4608

Khodeza Begum MitchellBorder Biomedical Research Center, The University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0002-2491-7943

Ming-Ying LeungComputational Science Program, The University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0003-2035-1214

Funding

National Institute on Minority Health to the Border Biomedical Research Center at UTEP 5U54MD007592

6 · The paper itself

Abstract

We devised a quantitative scoring function to assess the cumulative effects of somatic nonsynonymous single-nucleotide variants (SNVs) on protein-coding genes in patients with ovarian cancer (OvCa) and thyroid cancer (ThCa). The goal is to find novel candidate cancer-related genes for downstream bioinformatics analyses and wet-lab studies. With the Genomic Data Commons as primary data resource, SNV information was extracted from whole-exome sequencing data from patients with these cancers. A cumulative variant scoring function,

Indexed as

Ovarian NeoplasmsPolymorphism, Single NucleotideThyroid NeoplasmsComputational BiologyFemaleGenetic Predisposition to DiseaseHumansfunctional effect analyzerKEGG pathway analysisovarian cancerradioactive iodine treatmentsingle-nucleotide variantsthyroid cancertype II diabetes mellitus

Identifiers

PMID42074359

DOI10.3390/ijerph23040420

PMCPMC13115708

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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.