Evidence map›Paper›PMID 31909828›Full record

ArticleAnimal genetics2020

Genome-enable prediction for health traits using high-density SNP panel in US Holstein cattle.

F Lopes, G Rosa, P Pinedo, J E P Santos, R C Chebel, K N Galvao, G M Schuenemann, R C Bicalho, R O Gilbert, S Rodrigez-Zas and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Animal genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-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

6 citing papers in PubMed, 16 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

12 authors at 8 institutions in 2 countries.

F LopesDepartment of Animal Sciences, University of Wisconsin, Madison, WI, 53706, USA.
G RosaDepartment of Animal Sciences, University of Wisconsin, Madison, WI, 53706, USA.
P PinedoDepartment of Animal Sciences, Colorado State University, Fort Collins, CO, 80521, USA.ORCID https://orcid.org/0000-0001-7111-3377
J E P SantosDepartment of Animal Sciences, University of Florida, Gainesville, FL, 32611, USA.
R C ChebelCollege of Veterinary Medicine, University of Florida, Gainesville, FL, 32611, USA.
K N GalvaoCollege of Veterinary Medicine, University of Florida, Gainesville, FL, 32611, USA.
G M SchuenemannCollege of Veterinary Medicine, The Ohio State University, Columbus, OH, 43210, USA.
R C BicalhoCollege of Veterinary Medicine, Cornell University, Ithaca, NY, 14850, USA.
R O GilbertSchool of Veterinary Medicine, Ross University, Saint Kitts, Saint Kitts and Nevis, West Indies.
S Rodrigez-ZasDepartment of Animal Sciences, University of Illinois, Urbana-Champaign, IL, 61790, USA.
C M SeaburyCollege of Veterinary Medicine, Texas A&M University, College Station, TX, 77843, USA.
W ThatcherDepartment of Animal Sciences, University of Florida, Gainesville, FL, 32611, USA.
University of Florida · USUniversity of Wisconsin–Madison · USColorado State University · USCornell University · USRoss University School of Veterinary Medicine · KNTexas A&M University · USThe Ohio State University · USUniversity of Illinois Urbana-Champaign · US

Funding

USDA NIFA AFRI Translational Genomics for Improved Fertility of Animals 2013-68004
6 · The paper itself

Abstract

The objective of this study was to compare accuracies of different Bayesian regression models in predicting molecular breeding values for health traits in Holstein cattle. The dataset was composed of 2505 records reporting the occurrence of retained fetal membranes (RFM), metritis (MET), mastitis (MAST), displaced abomasum (DA), lameness (LS), clinical endometritis (CE), respiratory disease (RD), dystocia (DYST) and subclinical ketosis (SCK) in Holstein cows, collected between 2012 and 2014 in 16 dairies located across the US. Cows were genotyped with the Illumina BovineHD (HD, 777K). The quality controls for SNP genotypes were HWE P-value of at least 1 × 10

Indexed as

GenotypeAnimalsBayes TheoremCattleCattle DiseasesDNA ShufflingGenomicsModels, GeneticUnited StatesBayesian regression modelsdairygenomic predictionreproduction

Identifiers

PMID31909828
PMCPMC7065151
OpenAlexW3000485060

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.