ArticleGenetics, selection, evolution : GSE2022
Assessment of genotyping array performance for genome-wide association studies and imputation in African cattle.
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.
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Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Genomic and health characteristics of crossbred dairy cattle in central Uganda.Frontiers in genetics · 2025Article
- Genomic Reference Resource for African Cattle: Genome Sequences and High-Density Array Variants.Scientific data · 2024Article
- Genomic insights into the population history and adaptive traits of Latin American Criollo cattle.Royal Society open science · 2024Article
- The risk status, signatures of adaptation, and environmental suitability of village-based indigenous chickens from certain regions of Limpopo and KwaZulu-Natal provinces of South Africa.Frontiers in genetics · 2024Article
- Profiling the immune epigenome across global cattle breeds.Genome biology · 2023Article
- Tick-borne pathogens and body condition of cattle in smallholder rural livestock production systems in East and West Africa.Parasites & vectors · 2023Article
- Meta-analysis of heritability estimates and genome-wide association for tick-borne haemoparasites in African cattle.Frontiers in genetics · 2023Article
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Authors and funding
23 authors at 13 institutions in 11 countries.
Funding
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.
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