Microarrays 2013, 2(3), 171-185; doi:10.3390/microarrays2030171
Comparative Analysis of CNV Calling Algorithms: Literature Survey and a Case Study Using Bovine High-Density SNP Data
1
Bovine Functional Genomics Laboratory, BARC, BA, USDA-ARS, Beltsville, MD 20705, USA
2
Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA
3
Laboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100029, China
4
Animal Improvement Programs Laboratory, BARC, BA, USDA-ARS, Beltsville, MD 20705, USA
*
Author to whom correspondence should be addressed.
Received: 2 May 2013 / Revised: 4 June 2013 / Accepted: 5 June 2013 / Published: 25 June 2013
(This article belongs to the Special Issue Copy-Number-Variation Microarrays in Basic Research and Clinical Applications)
Abstract
Copy number variations (CNVs) are gains and losses of genomic sequence between two individuals of a species when compared to a reference genome. The data from single nucleotide polymorphism (SNP) microarrays are now routinely used for genotyping, but they also can be utilized for copy number detection. Substantial progress has been made in array design and CNV calling algorithms and at least 10 comparison studies in humans have been published to assess them. In this review, we first survey the literature on existing microarray platforms and CNV calling algorithms. We then examine a number of CNV calling tools to evaluate their impacts using bovine high-density SNP data. Large incongruities in the results from different CNV calling tools highlight the need for standardizing array data collection, quality assessment and experimental validation. Only after careful experimental design and rigorous data filtering can the impacts of CNVs on both normal phenotypic variability and disease susceptibility be fully revealed.Keywords:
copy number variation (CNV); algorithm; segmental duplication; single nucleotide polymorphism (SNP); cattle genome
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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MDPI and ACS Style
Xu, L.; Hou, Y.; Bickhart, D.M.; Song, J.; Liu, G.E. Comparative Analysis of CNV Calling Algorithms: Literature Survey and a Case Study Using Bovine High-Density SNP Data. Microarrays 2013, 2, 171-185.
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