ArticleScientific data2022
ExAgBov: A public database of annotated variations from hundreds of bovine whole-exome sequencing samples.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Gene variants in the pheromone vomeronasal receptors and QTLs around behavioral and fat metabolism genes associated with altered feed efficiency in cattle.Scientific reports · 2026Article
- Spontaneous immortalization of bovine fibroblasts following long-term expansion offers a non-transformed cell source for cultivated beef.Nature food · 2025Article
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- ExAgBov: A public database of annotated variations from hundreds of bovine whole-exome sequencing samples.Scientific data · 2022Article
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Authors and funding
3 authors.
Funding
Abstract
Large reference datasets of annotated genetic variations from genome-scale sequencing are essential for interpreting identified variants, their functional impact, and their possible contribution to diseases and traits. However, to date, no such database of annotated variation from broad cattle populations is publicly available. To overcome this gap and advance bovine NGS-driven variant discovery and interpretation, we obtained and analyzed raw data deposited in the SRA public repository. Short reads from 262 whole-exome sequencing samples of Bos Taurus were mapped to the Bos Taurus ARS-UCD1.2 reference genome. The GATK best practice workflow was applied for variant calling. Comprehensive annotation of all recorded variants was done using the Ensembl Variant Effect Predictor (VEP). An in-depth analysis of the population structure revealed the breeds comprising the database. The Exomes Aggregate of Bovine- ExAgBov is a comprehensively annotated dataset of more than 20 million short variants, of which ~2% are located within open reading frames, splice regions, and UTRs, and more than 60,000 variants are predicted to be deleterious.
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Registered trials
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