Evidence map›Paper›PMID 36057548›Full record

ArticleGenetics, selection, evolution : GSE2022

Assessment of genotyping array performance for genome-wide association studies and imputation in African cattle.

Valentina Riggio, Abdulfatai Tijjani, Rebecca Callaby, Andrea Talenti, David Wragg, Emmanuel T Obishakin, Chukwunonso Ezeasor, Frans Jongejan, Ndudim I Ogo, Fred Aboagye-Antwi and 13 more

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

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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

23 authors at 13 institutions in 11 countries.

Valentina Riggio *The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, UK. Valentina.Riggio@roslin.ed.ac.uk.ORCID http://orcid.org/0000-0003-0461-2939
Abdulfatai Tijjani *Centre for Tropical Livestock Genetics and Health (CTLGH), ILRI Ethiopia, P.O Box 5689, Addis Ababa, Ethiopia.
Rebecca CallabyThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, UK.
Andrea TalentiThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, UK.
David WraggThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, UK.
Emmanuel T ObishakinBiotechnology Division, National Veterinary Research Institute, Vom, Plateau State, Nigeria.
Chukwunonso EzeasorDepartment of Veterinary Pathology and Microbiology, University of Nigeria, Nsukka, Enugu State, Nigeria.
Frans JongejanDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, South Africa.
Ndudim I OgoNational Veterinary Research Institute, Vom, Nigeria.
Fred Aboagye-AntwiDepartment of Animal Biology and Conservation Sciences, University of Ghana, Accra, Ghana.
Alassane ToureLaboratoire National d'Appui Au Dévéloppement Agricole(LANADA)/Laboratoire Central Vétérinaire de Bingerville, Bp: 206, Bingerville, Côte d'Ivoire.
Jahashi NzalawahejDepartment of Microbiology, Parasitology and Biotechnology, Sokoine University of Agriculture, Morogoro, Tanzania.
Boubacar DialloCentral Vétérinaire de Diagnostic (LCVD), Conakry, Guinea.
Ayao MissohouEcole Inter-Etats des Sciences et Médecine Vétérinaires (EISMV) de Dakar, Dakar, Senegal.
Adrien M G BelemUniversité Polytechnique de Bobo-Dioulasso (UPB), Bobo -Dioulasso, Burkina Faso.
Appolinaire DjikengThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, UK.
Nick JuleffBill & Melinda Gates Foundation, Seattle, WA, USA.
Josephus FourieClinvet, 1479 Talmadge Hill South, Waverly, NY, 14892, USA.
Michel LabuschagneClinomics, Uitzich Road, Bainsvlei, Bloemfontein, 9338, South Africa.
Maxime MadderClinglobal, B03/04, The Tamarin Commercial Hub, Jacaranda Avenue, Tamarin, 90903, Mauritius.
Karen MarshallCentre for Tropical Livestock Genetics and Health (CTLGH), ILRI Kenya, P.O. Box 30709, Nairobi, 00100, Kenya.
James G D PrendergastThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, UK.
Liam J MorrisonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, UK.
Roslin Institute · GBClinvet · ZAÉcole Inter-États des Sciences et Médecine Vétérinaires de Dakar · SNGates Foundation · USGhent University Global Campus · KRInternational Livestock Research Institute · KELaboratoire National d'Appui au Développement Agricole · CINational Veterinary Research Institute · NGNazi Boni University · BFOnderstepoort Veterinary Academic Hospital · ZASokoine University of Agriculture · TZUniversity of Ghana · GHUniversity of Nigeria · NG

Funding

Bill and Melinda Gates Foundation OPP1125367Bill and Melinda Gates Foundation OPP1127286Biotechnology and Biological Sciences Research Council BBS/E/D/10002070Biotechnology and Biological Sciences Research Council BBS/E/D/20002172Biotechnology and Biological Sciences Research Council BBS/E/D/30002275
6 · The paper itself

Abstract

backgroundIn cattle, genome-wide association studies (GWAS) have largely focused on European or Asian breeds, using genotyping arrays that were primarily designed for European cattle. Because there is growing interest in performing GWAS in African breeds, we have assessed the performance of 23 commercial bovine genotyping arrays for capturing the diversity across African breeds and performing imputation. We used 409 whole-genome sequences (WGS) spanning global cattle breeds, and a real cohort of 2481 individuals (including African breeds) that were genotyped with the Illumina high-density (HD) array and the GeneSeek bovine 50 k array.

resultsWe found that commercially available arrays were not effective in capturing variants that segregate among African indicine animals. Only 6% of these variants in high linkage disequilibrium (LD) (r

conclusionsOur results show that the choice of an array should be based on a balance between the objective of the study and the breed/population considered, with the HD and BOS1 arrays being the best choice for both taurine and indicine breeds when performing GWAS, and the GGPF250 being preferable for fine-mapping studies. Moreover, our results suggest that there is no advantage to using the indicus-specific arrays for indicus breeds, regardless of the objective. Finally, we show that using a reference panel that better represents global bovine diversity improves imputation accuracy, particularly for non-European taurine populations.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideAnimalsCattleGenotypeLinkage Disequilibrium

Identifiers

PMID36057548
PMCPMC9441065
OpenAlexW4294671324

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.