Evidence map›Paper›PMID 26648975›Full record

ArticleFrontiers in genetics2015

Extent of Linkage Disequilibrium and Effective Population Size in Four South African Sanga Cattle Breeds.

Sithembile O Makina, Jeremy F Taylor, Este van Marle-Köster, Farai C Muchadeyi, Mahlako L Makgahlela, Michael D MacNeil, Azwihangwisi Maiwashe

Abstract read
In one paragraph

Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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.

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3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Sithembile O MakinaAgricultural Research Council-Animal Production Institute Pretoria, South Africa ; Department of Animal and Wildlife Sciences, University of Pretoria Pretoria, South Africa.
Jeremy F TaylorDivision of Animal Sciences, University of Missouri Columbia, MO, USA.
Este van Marle-KösterDepartment of Animal and Wildlife Sciences, University of Pretoria Pretoria, South Africa.
Farai C MuchadeyiAgricultural Research Council-Biotechnology Platform Pretoria, South Africa.
Mahlako L MakgahlelaAgricultural Research Council-Animal Production Institute Pretoria, South Africa.
Michael D MacNeilAgricultural Research Council-Animal Production Institute Pretoria, South Africa ; Department of Animal, Wildlife and Grassland Sciences, University of Free State Bloemfontein, South Africa ; Delta G Miles City, MT, USA.
Azwihangwisi MaiwasheAgricultural Research Council-Animal Production Institute Pretoria, South Africa ; Department of Animal, Wildlife and Grassland Sciences, University of Free State Bloemfontein, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge on the extent of linkage disequilibrium (LD) in livestock populations is essential to determine the minimum distance between markers required for effective coverage when conducting genome-wide association studies (GWAS). This study evaluated the extent of LD, persistence of allelic phase and effective population size (Ne) for four Sanga cattle breeds in South Africa including the Afrikaner (n = 44), Nguni (n = 54), Drakensberger (n = 47), and Bonsmara breeds (n = 46), using Angus (n = 31) and Holstein (n = 29) as reference populations. We found that moderate LD extends up to inter-marker distances of 40-60 kb in Angus (0.21) and Holstein (0.21) and up to 100 kb in Afrikaner (0.20). This suggests that genomic selection and association studies performed within these breeds using an average inter-marker r (2)≥ 0.20 would require about 30,000-50,000 SNPs. However, r (2)≥ 0.20 extended only up to 10-20 kb in the Nguni and Drakensberger and 20-40 kb in the Bonsmara indicating that 75,000 to 150,000 SNPs would be necessary for GWAS in these breeds. Correlation between alleles at contiguous loci indicated that phase was not strongly preserved between breeds. This suggests the need for breed-specific reference populations in which a much greater density of markers should be scored to identify breed specific haplotypes which may then be imputed into multi-breed commercial populations. Analysis of effective population size based on the extent of LD, revealed Ne = 95 (Nguni), Ne = 87 (Drakensberger), Ne = 77 (Bonsmara), and Ne = 41 (Afrikaner). Results of this study form the basis for implementation of genomic selection programs in the Sanga breeds of South Africa.

Indexed as

cattle breedseffective population sizelinkage disequilibriumpersistence of phase

Identifiers

PMID26648975
PMCPMC4664654

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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.