Evidence map›Paper›PMID 30811441›Full record

ArticlePloS one2019

Genetic heterogeneity and diversity of North American golden retrievers using a low density STR marker panel.

Eric S Ontiveros, Shayne Hughes, Maria Cecilia T Penedo, Robert A Grahn, Joshua A Stern

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Eric S OntiverosDepartment of Medicine and Epidemiology, School of Veterinary Medicine, University of California Davis, Davis, California, United States of America.
Shayne HughesVeterinary Genetics Laboratory, University of California Davis, Davis, California, United States of America.
Maria Cecilia T PenedoVeterinary Genetics Laboratory, University of California Davis, Davis, California, United States of America.
Robert A GrahnVeterinary Genetics Laboratory, University of California Davis, Davis, California, United States of America.
Joshua A SternDepartment of Medicine and Epidemiology, School of Veterinary Medicine, University of California Davis, Davis, California, United States of America.ORCID 0000-0001-5611-5745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thirty-three autosomal short tandem repeat (STR) markers were used to evaluate genetic heterogeneity and diversity in 525 golden retrievers (GRs). This breed was selected because of its popularity and artificial selection for conformation vs. performance phenotypes. Seven additional STRs were used to evaluate the highly polymorphic dog leukocyte antigen (DLA) class I and class II regions. From 3 to 13 alleles were found at each of the 33 loci (mean 7) and the average effective alleles (Ne) was 3.34. The observed heterozygosity was 0.65 and the expected heterozygosity was 0.68. The resulting fixation index was 0.035 indicating that the population was randomly breeding. We found that modern GRs retain 46% of genomic diversity present in all canids and 21/175 (12%) and 20/90 (22%) of the known DLA class I and class II haplotypes, respectively. Selection for performance or conformation led to a narrowing of genomic and DLA diversity with conformation having a greater effect than performance. A comparison was made between coefficient of inbreeding (COI) determined from 10 or 12 generation pedigrees and DNA based internal relatedness values. A weak but significant correlation was observed between IR score and 10 or 12 generation COI (r = 0.38, p<0.0001 and r = 0.40, p<0.0001, respectively). IR values were higher in conformation than performance lines but only significant at p = 0.17. This was supported by 10 and 12 generation COI values that were significantly (p<0.0001) higher in conformation than performance lines. We demonstrate herein that a low density of STR markers can be utilized to study the genetic makeup of GRs.

Indexed as

AllelesBreedingGenetic HeterogeneityHeterozygoteAnimalsDogsFemaleMaleUnited States

Identifiers

PMID30811441
PMCPMC6392251

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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.