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Published on: April 4, 2018
A Comprehensive Analysis of the Agreement and Performance of Variant Annotation Programs in Equine Genomes
Jillian L Marlowe1, Lauren Hughes2, Eric Barrey3
1Department of Veterinary Clinical Sciences, University of Minnesota, St. Paul, MN 55455, USA.
Standardizing terminology is crucial for accurate variant annotation in domestic animals. This study found that consistent terminology significantly improves agreement between tools like Ensembl-VEP, SnpEff, and ANNOVAR, impacting variant prioritization.
Area of Science:
- Genomics
- Bioinformatics
- Animal Genetics
Background:
- Whole-genome sequencing (WGS) is widely used for genetic studies in domestic animals.
- Prioritizing causal variants requires effective variant annotation tools.
- Validation of these tools for non-human genomes is limited.
Purpose of the Study:
- To assess the agreement of popular variant annotators (Ensembl-VEP, SnpEff, ANNOVAR) in domestic animal genomes.
- To identify factors influencing annotation agreement and computational resource usage.
- To provide guidance for selecting variant annotation tools in animal genomics.
Main Methods:
- Evaluated annotation agreement across >58 million variants from 1065 horse genomes.
- Compared Ensembl-VEP, SnpEff, and ANNOVAR performance.
- Assessed impact of terminology standardization and genomic context on agreement.
- Measured computational resource requirements (memory, time).
Main Results:
- High agreement (>90%) achieved when terminology was standardized across annotators.
- Agreement dropped significantly (0-67%) without standardized terminology.
- Exonic and loss-of-function variants showed lower agreement than intergenic variants.
- ANNOVAR had substantially higher memory and time requirements compared to other tools.
Conclusions:
- Tool selection for variant annotation should consider study needs and computational resources.
- Standardization of terminology is critical for reliable variant prioritization in domestic animals.
- Findings offer a resource for optimizing variant annotation strategies in animal genomics research.
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