Evidence map›Paper›PMID 29608619›Full record

ArticlePloS one2018

Genome-wide pleiotropy and shared biological pathways for resistance to bovine pathogens.

M Mahmoud, Y Zeng, M Shirali, T Yin, K Brügemann, S König, C Haley

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 2 countries.

M MahmoudInstitute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Gießen, Germany.ORCID 0000-0002-2894-3882
Y ZengMRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.
M ShiraliCentre for Clinical Brain Sciences, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, United Kingdom.ORCID 0000-0002-5401-0541
T YinInstitute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Gießen, Germany.
K BrügemannInstitute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Gießen, Germany.
S KönigInstitute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Gießen, Germany.
C HaleyMRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-9811-0210
Justus-Liebig-Universität Gießen · DEInstitute of Genetics and Cancer · GBRoslin Institute · GBRoyal Edinburgh Hospital · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/20211550Biotechnology and Biological Sciences Research Council BBS/E/D/20211553Biotechnology and Biological Sciences Research Council BBS/E/D/20211554Medical Research Council MC_PC_U127592696
6 · The paper itself

Abstract

Host genetic architecture is a major factor in resistance to pathogens and parasites. The collection and analysis of sufficient data on both disease resistance and host genetics has, however, been a major obstacle to dissection the genetics of resistance to single or multiple pathogens. A severe challenge in the estimation of heritabilities and genetic correlations from pedigree-based studies has been the confounding effects of the common environment shared among relatives which are difficult to model in pedigree analyses, especially for health traits with low incidence rates. To circumvent this problem we used genome-wide single-nucleotide polymorphism data and implemented the Genomic-Restricted Maximum Likelihood (G-REML) method to estimate the heritabilities and genetic correlations for resistance to 23 different infectious pathogens in calves and cows in populations undergoing natural pathogen challenge. Furthermore, we conducted gene-based analysis and generalized gene-set analysis to understand the biological background of resistance to infectious diseases. The results showed relatively higher heritabilities of resistance in calves than in cows and significant pleiotropy (both positive and negative) among some calf and cow resistance traits. We also found significant pleiotropy between resistance and performance in both calves and cows. Finally, we confirmed the role of the B-lymphocyte pathway as one of the most important biological pathways associated with resistance to all pathogens. These results both illustrate the potential power of these approaches to illuminate the genetics of pathogen resistance in cattle and provide foundational information for future genomic selection aimed at improving the overall production fitness of cattle.

Indexed as

Genetic Predisposition to DiseaseGenomeGenome-Wide Association StudyGenomicsAnimalsCattleCattle DiseasesDisease ResistanceEpistasis, GeneticGene Regulatory NetworksGenetic Association StudiesHost-Pathogen InteractionsPolymorphism, Single NucleotideQuantitative Trait, HeritableReproduction

Identifiers

PMID29608619
PMCPMC5880348
OpenAlexW2795973812

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.