Evidence map›Paper›PMID 22773013›Full record

ArticleAsian journal of andrology2012

Genetic variants in TP53 and MDM2 associated with male infertility in Chinese population.

Cong Huang, Wei Liu, Gui-Xiang Ji, Ai-Hua Gu, Jian-Hua Qu, Ling Song, Xin-Ru Wang

Open access · goldAbstract read
In one paragraph

Article in Asian journal of andrology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. The role of p53 in male infertility.Frontiers in endocrinology · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. The frequency ofInternational journal of reproductive biomedicine · 2018
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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

7 authors at 3 institutions in 1 country.

Cong HuangState Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 210029, China.
Wei Liu
Gui-Xiang Ji
Ai-Hua Gu
Jian-Hua Qu
Ling Song
Xin-Ru Wang
Nanjing Medical University · CNMinistry of Ecology and Environment · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The TP53, a transcriptional regulator and tumor suppressor, is functionally important in spermatogenesis. MDM2 is a key regulator of the p53 pathway and modulates p53 activity. Both proteins have been functionally linked to germ cell apoptosis, which may affect human infertility, but very little is known on how common polymorphisms in these genes may influence germ cell apoptosis and the risk of male infertility. Thus, this study was designed to test whether three previously described polymorphisms 72Arg>Pro (rs1042522) and the Ex2+19C>T (rs2287498) in TP53, and the 5' untranslated region (5' UTR) 309T>G (rs937283) in MDM2, are associated with idiopathic male infertility in a Chinese population. The three polymorphisms were genotyped using OpenArray assay in a hospital-based case-control study, including 580 infertile patients and 580 fertile controls. Our analyses revealed that TP53 Ex2+19C>T and MDM2 309T>G polymorphisms are associated with male infertility. Furthermore, we detected a nearly statistically significant additive interaction between TP53 rs2287498 and MDM2 rs937283 for the development of male infertility (P(interaction)=0.055). In summary, this study found preliminary evidence, demonstrating that genetic variants in genes of the TP53 pathway are risk factors for male infertility.

Indexed as

Genes, p53Polymorphism, GeneticAdultChinaHumansInfertility, MaleMaleProto-Oncogene Proteins c-mdm2MDM2 protein, humanProto-Oncogene Proteins c-mdm2

Identifiers

PMID22773013
PMCPMC3734978
OpenAlexW1973034641

What OpenQuestion holds

Textmetadata
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.