Evidence map›Paper›PMID 26722565›Full record

ArticleInternational journal of clinical and experimental pathology2015

Association of common variants of FTO in women with polycystic ovary syndrome.

Hongxi Xue, Han Zhao, Yueran Zhao, Xin Liu, Zijiang Chen, Jinlong Ma

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. 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
1.7field-weighted citation impact, top 13% 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, 10 citations in OpenAlex.

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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 1 institution in 1 country.

Hongxi XueCenter for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Key Laboratory of Reproductive Medicine Jinan, China ; Department of Reproductive Medicine, Rizhao City Hospital of Traditional Chinese Medicine Rizhao, China ; National Research Center for Assisted Reproductive Technology and Reproductive Genetics Jinan, China ; The Key Laboratory for Reproductive Endocrinology of Ministry of Education Jinan, China.
Han ZhaoCenter for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Key Laboratory of Reproductive Medicine Jinan, China ; National Research Center for Assisted Reproductive Technology and Reproductive Genetics Jinan, China ; The Key Laboratory for Reproductive Endocrinology of Ministry of Education Jinan, China.
Yueran ZhaoCenter for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Key Laboratory of Reproductive Medicine Jinan, China ; National Research Center for Assisted Reproductive Technology and Reproductive Genetics Jinan, China ; The Key Laboratory for Reproductive Endocrinology of Ministry of Education Jinan, China.
Xin LiuCenter for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Key Laboratory of Reproductive Medicine Jinan, China ; National Research Center for Assisted Reproductive Technology and Reproductive Genetics Jinan, China ; The Key Laboratory for Reproductive Endocrinology of Ministry of Education Jinan, China.
Zijiang ChenCenter for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Key Laboratory of Reproductive Medicine Jinan, China ; National Research Center for Assisted Reproductive Technology and Reproductive Genetics Jinan, China ; The Key Laboratory for Reproductive Endocrinology of Ministry of Education Jinan, China.
Jinlong MaCenter for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Key Laboratory of Reproductive Medicine Jinan, China ; National Research Center for Assisted Reproductive Technology and Reproductive Genetics Jinan, China ; The Key Laboratory for Reproductive Endocrinology of Ministry of Education Jinan, China.
Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolycystic ovary syndrome (PCOS) is a common and complex multisystemic genetic disease. Previous genome-wide association study (GWAS) of PCOS has found several potentially causative single nucleotide polymorphisms (SNPs) in Han Chinese population. The goal of present investigation was to assess the potential association between rs1121980, rs1421085, rs1558902, rs8050136 SNPs and PCOS. In order to make a better elucidation of this disease, further investigations of association between SNPs susceptibility and PCOS become necessary.

methodsIn the present study, we enrolled 212 patients with PCOS and 198 control subjects. Four polymorphisms of FTO gene (rs1121980, rs1421085, rs1558902, rs8050136) were genotyped by Taqman-MGB method, and their relationship with PCOS was speculated.

resultsThe allele frequency has no significant difference between the PCOS group and the controls. Genotype frequencies of the four SNPs in the additive, dominant and recessive models showed no significant difference between PCOS cases and controls.

conclusionsOur results demonstrate that FTO gene has little association in PCOS development.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAllelesAlpha-Ketoglutarate-Dependent Dioxygenase FTOBody Mass IndexFemaleGene FrequencyGenetic Association StudiesGenotypeHumansPolycystic Ovary SyndromeProteinsYoung AdultAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanProteinsFTOgenome-wide association study (GWAS)polycystic ovary syndrome (PCOS)

Identifiers

PMID26722565
PMCPMC4680510
OpenAlexW2471274516

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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.