Genotyping and Copy Number Analysis of Immunoglobin Heavy Chain Variable Genes Using Long Reads

• Main Authors: Michael Ford, Ehsan Haghshenas, Corey T. Watson, S. Cenk Sahinalp
• Format: Article
• Language: English
• Published: Elsevier 2020-03-01
• Series: iScience
• Online Access: http://www.sciencedirect.com/science/article/pii/S2589004220300675

Summary: One of the remaining challenges to describing an individual's genetic variation lies in the highly heterogeneous and complex genomic regions that impede the use of classical reference-guided mapping and assembly approaches. Once such region is the Immunoglobulin heavy chain locus (IGH), which is critical for the development of antibodies and the adaptive immune system. We describe ImmunoTyper, the first PacBio-based genotyping and copy number calling tool specifically designed for IGH V genes (IGHV). We demonstrate that ImmunoTyper's multi-stage clustering and combinatorial optimization approach represents the most comprehensive IGHV genotyping approach published to date, through validation using gold-standard IGH reference sequence. This preliminary work establishes the feasibility of fine-grained genotype and copy number analysis using error-prone long reads in complex multi-gene loci and opens the door for in-depth investigation into IGHV heterogeneity using accessible and increasingly common whole-genome sequence. : Biological Sciences; Bioinformatics; Computational Bioinformatics; Genomic Analysis Subject Areas: Biological Sciences, Bioinformatics, Computational Bioinformatics, Genomic Analysis