Evidence map›Paper›PMID 28986737›Full record

ArticleJournal of applied genetics2017

Assessing the degree of stratification between closely related Holstein-Friesian populations.

Joanna Szyda, Tomasz Suchocki, Saber Qanbari, Zengting Liu, Henner Simianer

Abstract read
In one paragraph

Article in Journal of applied genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

5 authors.

Joanna SzydaBiostatistics Group, Department of Genetics, Wrocław University of Environmental and Life Sciences, Kozuchowska 7, 51-631, Wrocław, Poland. joanna.szyda@upwr.edu.pl.ORCID http://orcid.org/0000-0001-9688-0193
Tomasz SuchockiBiostatistics Group, Department of Genetics, Wrocław University of Environmental and Life Sciences, Kozuchowska 7, 51-631, Wrocław, Poland.
Saber QanbariAnimal Breeding and Genetics Group, Georg-August-Universität Göttingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany.
Zengting Liuvit, Heinrich-Schröder-Weg 1, 27283, Verden, Germany.
Henner SimianerAnimal Breeding and Genetics Group, Georg-August-Universität Göttingen, Albrecht-Thaer-Weg 3, 37075, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic information is an important part of the routine evaluation of dairy cattle and provides the wide availability of animals genotyped using single nucleotide polymorphism (SNP) microarrays. We analyzed 2243 Polish and 2294 German Holstein-Friesian bulls genotyped using the Illumina BovineSNP50 BeadChip. For each bull, estimated breeding values (EBVs) calculated from national routine genetic evaluation were available for production traits and for somatic cell score (SCS). Separately for each population, we estimated SNP haplotypes, pairwise linkage disequilibrium (LD), and SNP effects. The SNP genetic covariance between both populations was estimated using a bivariate mixed model. The average LD was lower in the Polish than in the German population and, with increasing genomic distance, LD decays 1.7 times more rapidly in German than in Polish cattle. The comparison of SNP allele frequencies for base populations estimated separately using Polish and German data revealed a very good agreement. The comparison of genetic effects corresponding to various window lengths defined in bp emerged a systematic pattern: regardless of the length of the compared region, few significant differences were found for production traits, while many were observed for SCS. For each trait, the German population had much higher SNP variances than the Polish population and the genetic covariance estimates were all positive. Depending on traits' inheritance mode, the additive genetic variation can be stored in many genes following the infinitesimal model (like for SCS) or distributed between genes with high effects and the polygenic "background" (like for production traits). Accounting for those differences has implications on the prospective international genomic evaluation.

Indexed as

AnimalsBreedingCattleGene FrequencyGenomeHaplotypesLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideGerman and Polish Holstein-Friesian cattleLinkage disequilibriumProduction traitsSingle nucleotide polymorphismSomatic cell score

Identifiers

PMID28986737
PMCPMC5655691

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.