Copy number variation detection via high-density SNP genotyping

Abstract

CNVs in the human genome can be detected from high-density SNP genotyping data with well-designed computational algorithms. Further development of methods that better model signal intensity patterns, that handle samples with low-quality signals, and that use more available information, will improve the accuracy of CNV detection and complement current genome-wide association studies in identifying novel disease susceptibility loci.