Evidence map›Paper›PMID 33193739›Full record

ArticleFrontiers in genetics2020

Genomic Analysis of IgG Antibody Response to Common Pathogens in Commercial Sows in Health-Challenged Herds.

Leticia P Sanglard, PigGen Canada, Benny E Mote, Philip Willson, John C S Harding, Graham S Plastow, Jack C M Dekkers, Nick V L Serão

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. 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
0.7field-weighted citation impact, top 32% 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, 5 citations in OpenAlex.

  1. Review
  2. A genome-wide screen for resilient responses in growing pigs.Genetics, selection, evolution : GSE · 2022
    Article
  3. 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

8 authors at 4 institutions in 2 countries.

Leticia P SanglardDepartment of Animal Science, Iowa State University, Ames, IA, United States.
PigGen Canada
Benny E MoteDepartment of Animal Science, University of Nebraska-Lincoln, Lincoln, NE, United States.
Philip WillsonCanadian Centre for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, SK, Canada.
John C S HardingDepartment of Large Animal Clinical Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Graham S PlastowDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Jack C M DekkersDepartment of Animal Science, Iowa State University, Ames, IA, United States.
Nick V L SerãoDepartment of Animal Science, Iowa State University, Ames, IA, United States.
Iowa State University · USUniversity of Alberta · CAUniversity of Nebraska–Lincoln · USUniversity of Saskatchewan · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Losses due to infectious diseases are one of the main factors affecting productivity in the swine industry, motivating the investigation of disease resilience-related traits for genetic selection. However, these traits are not expected to be expressed in the nucleus herds, where selection is performed. One alternative is to use information from the commercial level to identify and select nucleus animals genetically superior for coping with pathogen challenges. In this study, we analyzed the genetic basis of antibody (Ab) response to common infectious pathogens in health-challenged commercial swine herds as potential indicator traits for disease resilience, including Ab response to influenza A virus of swine (IAV),

Indexed as

antibody responsegenetic correlationGWASheritabilityinfectious pathogens

Identifiers

PMID33193739
PMCPMC7646516
OpenAlexW3094548354

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.