Evidence map›Paper›PMID 25374392›Full record

ArticleJournal of assisted reproduction and genetics2015

Association of single nucleotide polymorphisms in the USF1, GTF2A1L and OR2W3 genes with non-obstructive azoospermia in the Chinese population.

Yan Zhang, Xiao-Jin He, Bing Song, Lei Ye, Xu-Shi Xie, Jian Ruan, Fu-Sheng Zhou, Xian-Bo Zuo, Yun-Xia Cao, Wei-Dong Du

Open access · bronzeAbstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Yan ZhangDepartment of Biology, School of Life Sciences, Anhui Medical University, Hefei, 230032, China.
Xiao-Jin He
Bing Song
Lei Ye
Xu-Shi Xie
Jian Ruan
Fu-Sheng Zhou
Xian-Bo Zuo
Yun-Xia Cao
Wei-Dong Du
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNFirst Affiliated Hospital of Wannan Medical College · CNUniversity Hospital Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo research the association between the single nucleotide polymorphisms (SNPs) of three spermatogenesis-related genes (USF1, GTF2A1L and OR2W3) and non-obstruction azoospermia (NOA).

methodsWe investigated 361 NOA cases and 368 controls from the Chinese Han population, and we used Sequenom iplex technology to analyze the candidate 9 SNPs from the USF1, GTF2A1L and OR2W3 genes.

resultsIn this study, we found that the variant rs2516838 of USF1 was associated with NOA susceptibility (P = 0.020, OR = 1.436), and the haplotype TCG of the variants rs1556259, rs2516838, and rs2774276 of USF1 conferred an increased risk of NOA (P = 0.019, OR = 1.436). Furthermore, we found that the rs11204546 genotype of OR2W3 and the rs11677854 genotype of GTF2A1L were correlated with the FSH level in the patients (P = 0.004 and P = 0.018, respectively).

conclusionsOur results provided a new insight into susceptibility of USF1 variant with male infertility. Clinically, the SNPs (rs11204546 of OR2W3 and rs11677854 of GTF2A1L ) might be additional valuable molecular predictive markers for assessing the treatment of NOA patients.

Indexed as

AdultAsian PeopleAzoospermiaGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHaplotypesHumansInfertility, MaleMaleMiddle AgedPolymorphism, Single NucleotideReceptors, OdorantSpermatogenesisTranscription FactorsUpstream Stimulatory FactorsGTF2A1L protein, humanOR2W3 protein, humanReceptors, OdorantTranscription FactorsUpstream Stimulatory FactorsUSF1 protein, human

Identifiers

PMID25374392
PMCPMC4294865
OpenAlexW2081137282

What Socratic holds

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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 Socratic graph.