Evidence map›Paper›PMID 36174000›Full record

ArticlePloS one2022

A transcriptome-wide association study of uterine fibroids to identify potential genetic markers and toxic chemicals.

Gayeon Kim, Gyuyeon Jang, Jaeseung Song, Daeun Kim, Sora Lee, Jong Wha J Joo, Wonhee Jang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Challenges and Opportunities for Data Science in Women's Health.Annual review of biomedical data science · 2023
    Review
  4. Article
  5. Review
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.

Gayeon KimDepartment of Life Sciences, Dongguk University-Seoul, Seoul, Republic of Korea.
Gyuyeon JangDepartment of Life Sciences, Dongguk University-Seoul, Seoul, Republic of Korea.ORCID 0000-0002-1417-3100
Jaeseung SongDepartment of Life Sciences, Dongguk University-Seoul, Seoul, Republic of Korea.ORCID 0000-0003-2247-3194
Daeun KimDepartment of Life Sciences, Dongguk University-Seoul, Seoul, Republic of Korea.
Sora LeeDepartment of Life Sciences, Dongguk University-Seoul, Seoul, Republic of Korea.
Jong Wha J JooDepartment of Computer Science and Engineering, Dongguk University-Seoul, Seoul, South Korea.
Wonhee JangDepartment of Life Sciences, Dongguk University-Seoul, Seoul, Republic of Korea.ORCID 0000-0003-2470-8137
Dongguk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine fibroid is one of the most prevalent benign tumors in women, with high socioeconomic costs. Although genome-wide association studies (GWAS) have identified several loci associated with uterine fibroid risks, they could not successfully interpret the biological effects of genomic variants at the gene expression levels. To prioritize uterine fibroid susceptibility genes that are biologically interpretable, we conducted a transcriptome-wide association study (TWAS) by integrating GWAS data of uterine fibroid and expression quantitative loci data. We identified nine significant TWAS genes including two novel genes, RP11-282O18.3 and KBTBD7, which may be causal genes for uterine fibroid. We conducted functional enrichment network analyses using the TWAS results to investigate the biological pathways in which the overall TWAS genes were involved. The results demonstrated the immune system process to be a key pathway in uterine fibroid pathogenesis. Finally, we carried out chemical-gene interaction analyses using the TWAS results and the comparative toxicogenomics database to determine the potential risk chemicals for uterine fibroid. We identified five toxic chemicals that were significantly associated with uterine fibroid TWAS genes, suggesting that they may be implicated in the pathogenesis of uterine fibroid. In this study, we performed an integrative analysis covering the broad application of bioinformatics approaches. Our study may provide a deeper understanding of uterine fibroid etiologies and informative notifications about potential risk chemicals for uterine fibroid.

Indexed as

LeiomyomaTranscriptomeFemaleGenetic MarkersGenome-Wide Association StudyHumansToxicogeneticsGenetic Markers

Identifiers

PMID36174000
PMCPMC9521910
OpenAlexW4297991096

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.