Evidence map›Paper›PMID 29228019›Full record

ArticlePloS one2017

Loci and pathways associated with uterine capacity for pregnancy and fertility in beef cattle.

Mahesh Neupane, Thomas W Geary, Jennifer N Kiser, Gregory W Burns, Peter J Hansen, Thomas E Spencer, Holly L Neibergs

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.2field-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

34 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Exploration of the Polymorphism Distribution of BovineAnimals : an open access journal from MDPI · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 4 institutions in 1 country.

Mahesh NeupaneDepartment Animal Sciences, Washington State University, Pullman, Washington, United States of America.ORCID http://orcid.org/0000-0002-9030-3720
Thomas W GearyUSDA-ARS, Fort Keogh Livestock and Range Research Laboratory, Miles City, Montana, United States of America.
Jennifer N KiserDepartment Animal Sciences, Washington State University, Pullman, Washington, United States of America.
Gregory W BurnsDivision of Animal Sciences, University of Missouri, Columbia, Missouri, United States of America.
Peter J HansenDepartment of Animal Sciences, University of Florida, Gainesville, Florida, United States of America.
Thomas E SpencerDivision of Animal Sciences, University of Missouri, Columbia, Missouri, United States of America.
Holly L NeibergsDepartment Animal Sciences, Washington State University, Pullman, Washington, United States of America.
Washington State University · USUniversity of Missouri · USFort Keogh Livestock and Range Research Laboratory · USUniversity of Florida · US

Funding

Systems biology approach to understand endometrial receptivity & pregnancy lossR01HD072898 · NICHD · WASHINGTON STATE UNIVERSITY · PI SPENCER, THOMAS E · 2012 to 2016
$1.1M
NICHD NIH HHS R01 HD072898
6 · The paper itself

Abstract

Infertility and subfertility negatively impact the economics and reproductive performance of cattle. Of note, significant pregnancy loss occurs in cattle during the first month of pregnancy, yet little is known about the genetic loci influencing pregnancy success and loss in cattle. To identify quantitative trait loci (QTL) with large effects associated with early pregnancy loss, Angus crossbred heifers were classified based on day 28 pregnancy outcomes to serial embryo transfer. A genome wide association analysis (GWAA) was conducted comparing 30 high fertility heifers with 100% success in establishing pregnancy to 55 subfertile heifers with 25% or less success. A gene set enrichment analysis SNP (GSEA-SNP) was performed to identify gene sets and leading edge genes influencing pregnancy loss. The GWAA identified 22 QTL (p < 1 x 10-5), and GSEA-SNP identified 9 gene sets (normalized enrichment score > 3.0) with 253 leading edge genes. Network analysis identified TNF (tumor necrosis factor), estrogen, and TP53 (tumor protein 53) as the top of 671 upstream regulators (p < 0.001), whereas the SOX2 (SRY [sex determining region Y]-box 2) and OCT4 (octamer-binding transcription factor 4) complex was the top master regulator out of 773 master regulators associated with fertility (p < 0.001). Identification of QTL and genes in pathways that improve early pregnancy success provides critical information for genomic selection to increase fertility in cattle. The identified genes and regulators also provide insight into the complex biological mechanisms underlying pregnancy establishment in cattle.

Indexed as

AnimalsCattleFemaleFertilityGenome-Wide Association StudyPolymorphism, Single NucleotidePregnancyQuantitative Trait LociUterus

Identifiers

PMID29228019
PMCPMC5724891
OpenAlexW2772426150

What OpenQuestion holds

Textmetadata
LicenceCC0
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.