CNVmap: A Method and Software To Detect and Map Copy Number Variants from Segregation Data.

ABSTRACT: Single nucleotide polymorphisms (SNPs) are used widely for detecting quantitative trait loci, or for searching for causal variants of diseases. Nevertheless, structural variations such as copy-number variants (CNVs) represent a large part of natural genetic diversity, and contribute significantly to trait variation. Numerous methods and softwares based on different technologies (amplicons, CGH, tiling, or SNP arrays, or sequencing) have already been developed to detect CNVs, but they bypass a wealth of information such as genotyping data from segregating populations, produced, e.g., for QTL mapping. Here, we propose an original method to both detect and genetically map CNVs using mapping panels. Specifically, we exploit the apparent heterozygous state of duplicated loc

SUBMITTER: Falque M 

PROVIDER: S-EPMC7054022 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature