Evidence map›Paper›PMID 28732466›Full record

ArticleBMC genetics2017

Estimation of linkage disequilibrium and effective population size in New Zealand sheep using three different methods to create genetic maps.

Vincent Prieur, Shannon M Clarke, Luiz F Brito, John C McEwan, Michael A Lee, Rudiger Brauning, Ken G Dodds, Benoît Auvray

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 68 citations in OpenAlex.

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  17. Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder's equation.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
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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

8 authors at 2 institutions in 1 country.

Vincent PrieurAgResearch, Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand.
Shannon M ClarkeAgResearch, Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand.
Luiz F BritoCentre for Genetic Improvement of Livestock, University of Guelph, N1G2W1, Guelph, Canada.
John C McEwanAgResearch, Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand.
Michael A LeeDepartment of Mathematics and Statistics, University of Otago, Dunedin, 9058, New Zealand.
Rudiger BrauningAgResearch, Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand.
Ken G DoddsAgResearch, Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand. ken.dodds@agresearch.co.nz.
Benoît AuvrayDepartment of Mathematics and Statistics, University of Otago, Dunedin, 9058, New Zealand.
AgResearch · NZUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvestments in genetic selection have played a major role in the New Zealand sheep industry competitiveness. Selection may erode genetic diversity, which is a crucial factor for the success of breeding programs. Better understanding of linkage disequilibrium (LD) and ancestral effective population size (N

resultsThe estimates obtained with M2 and M3 showed much less variability between autosomes than those with M1, which tended to give lower N

conclusionsM3 was considered the most accurate method to create genetic maps for the estimation of LD and N

Indexed as

Chromosome MappingLinkage DisequilibriumPolymorphism, Single NucleotideAnimalsBreedingGenetic MarkersGenomePopulation DensitySheepGenetic MarkersGenetic diversitygenetic mapsLDOvine 50 K SNP chipOvis aries

Identifiers

PMID28732466
PMCPMC5521107
OpenAlexW2736832953

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.