Evidence map›Paper›PMID 23076525›Full record

ArticleMolecular biology reports2013

Effects of PGR and ESRα genotypes on the pregnancy rates after embryo transfer in Luxi cattle.

Ke-Qiong Tang, Wu-Cai Yang, Bin Pai, Shu-Jing Li, Long Chen, Li-Guo Yang

Abstract read
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In one paragraph

Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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 3 institutions in 1 country.

Ke-Qiong TangKey Laboratory under Education Ministry of China for Agricultural Animal Genetics, Breeding, and Reproduction, Wuhan, China. tangkeqiong20036@163.com
Wu-Cai Yang
Bin Pai
Shu-Jing Li
Long Chen
Li-Guo Yang
Ministry of Education of the People's Republic of China · CNOriginWater (China) · CNHuazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progesterone receptor (PGR) and estrogen receptor alpha (ESRα), which mediate the biological effects of the steroid hormones progesterone and estrogen, play a central role in the establishment and maintenance of pregnancy. The objectives of this study were to detect bovine PGR and ESRα genes polymorphisms and analyze their relationships with the pregnancy rates after embryo transfer and the hormone concentrations at the day of embryo transfer. One reported SNP of PGR G59752C and a novel SNP of ESRα G75935C were analyzed in 132 recipients of Luxi cattle. For the PGR gene, recipients with g.59752 GG and g.59752 GC genotypes had obviously higher pregnancy rates than g.59752 CC genotype. For the ESRα gene, recipients with g.75935 GC and g.75935 CC genotypes had obviously higher pregnancy rates than g.75935 GG genotype. Furthermore, the same tendency was observed for these two genes that the same genotype groups with high pregnancy rates had high progesterone concentration and low estrogen concentration at the day of embryo transfer. These results showed for the first time that PGR G59752C and ESRα G75935C polymorphisms had obvious effects on the pregnancy rates after embryo transfer, and indicated that PGR G59752C and ESRα G75935C polymorphisms could be potential markers for recipient selection of embryo transfer.

Indexed as

GenotypePregnancy RateAllelesAnimalsCattleEmbryo TransferEstrogen Receptor alphaFemaleGene FrequencyGenetic Association StudiesPregnancyReceptors, ProgesteroneEstrogen Receptor alphaReceptors, Progesterone

Identifiers

PMID23076525
OpenAlexW2055819057

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.