Evidence map›Paper›PMID 26308735›Full record

ArticlePloS one2015

Pathway Analysis Based on a Genome-Wide Association Study of Polycystic Ovary Syndrome.

Unjin Shim, Han-Na Kim, Hyejin Lee, Jee-Young Oh, Yeon-Ah Sung, Hyung-Lae Kim

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.6field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 40 citations in OpenAlex.

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  18. Reactome from a WikiPathways Perspective.PLoS computational biology · 2016
    Article
  19. Perspectives in Polycystic Ovary Syndrome: From Hair to Eternity.The Journal of clinical endocrinology and metabolism · 2016
    Article
  20. Genetics of Common Endocrine Disease: The Present and the Future.The Journal of clinical endocrinology and metabolism · 2016
    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

6 authors at 2 institutions in 1 country.

Unjin ShimDepartment of Internal Medicine, Seoul Seonam Hospital, Ewha Womans University Medical Center, Seoul, Korea.
Han-Na KimDepartment of Biochemistry, Ewha Womans University School of Medicine, Seoul, Korea.
Hyejin LeeDepartment of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
Jee-Young OhDepartment of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
Yeon-Ah SungDepartment of Internal Medicine, Ewha Womans University School of Medicine, Seoul, Korea.
Hyung-Lae KimDepartment of Biochemistry, Ewha Womans University School of Medicine, Seoul, Korea.
Ewha Womans University · KREwha Womans University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age, and it is affected by both environmental and genetic factors. Although the genetic component of PCOS is evident, studies aiming to identify susceptibility genes have shown controversial results. This study conducted a pathway-based analysis using a dataset obtained through a genome-wide association study (GWAS) to elucidate the biological pathways that contribute to PCOS susceptibility and the associated genes.

methodsWe used GWAS data on 636,797 autosomal single nucleotide polymorphisms (SNPs) from 1,221 individuals (432 PCOS patients and 789 controls) for analysis. A pathway analysis was conducted using meta-analysis gene-set enrichment of variant associations (MAGENTA). Top-ranking pathways or gene sets associated with PCOS were identified, and significant genes within the pathways were analyzed.

resultsThe pathway analysis of the GWAS dataset identified significant pathways related to oocyte meiosis and the regulation of insulin secretion by acetylcholine and free fatty acids (all nominal gene-set enrichment analysis (GSEA) P-values < 0.05). In addition, INS, GNAQ, STXBP1, PLCB3, PLCB2, SMC3 and PLCZ1 were significant genes observed within the biological pathways (all gene P-values < 0.05).

conclusionsBy applying MAGENTA pathway analysis to PCOS GWAS data, we identified significant pathways and candidate genes involved in PCOS. Our findings may provide new leads for understanding the mechanisms underlying the development of PCOS.

Indexed as

Genetic Predisposition to DiseaseSignal TransductionBiomarkersCase-Control StudiesFemaleGenome-Wide Association StudyGenotypeHumansMeta-Analysis as TopicPolycystic Ovary SyndromePolymorphism, Single NucleotideBiomarkers

Identifiers

PMID26308735
PMCPMC4550465
OpenAlexW1866588896

What OpenQuestion holds

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LicenceCC BY
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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.