Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes
Author(s)
Malikić, Salem; Ford, Michael; Qin, Xiang; Toji, Lorraine; Radovich, Milan; Skaar, Todd C.; Pratt, Victoria M.; Scherer, Steve; Sahinalp, S. Cenk; Numanagic, Ibrahim; Berger Leighton, Bonnie; ... Show more Show less
Downloads41467-018-03273-1.pdf (693.8Kb)
PUBLISHER_CC
Publisher with Creative Commons License
Creative Commons Attribution
Terms of use
Metadata
Show full item recordAbstract
High-throughput sequencing provides the means to determine the allelic decomposition for any gene of interest - the number of copies and the exact sequence content of each copy of a gene. Although many clinically and functionally important genes are highly polymorphic and have undergone structural alterations, no high-throughput sequencing data analysis tool has yet been designed to effectively solve the full allelic decomposition problem. Here we introduce a combinatorial optimization framework that successfully resolves this challenging problem, including for genes with structural alterations. We provide an associated computational tool Aldy that performs allelic decomposition of highly polymorphic, multi-copy genes through using whole or targeted genome sequencing data. For a large diverse sequencing data set, Aldy identifies multiple rare and novel alleles for several important pharmacogenes, significantly improving upon the accuracy and utility of current genotyping assays. As more data sets become available, we expect Aldy to become an essential component of genotyping toolkits.
Date issued
2018-02Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of MathematicsJournal
Nature Communications
Publisher
Springer Nature
Citation
Numanagić, Ibrahim et al. “Allelic Decomposition and Exact Genotyping of Highly Polymorphic and Structurally Variant Genes.” Nature Communications 9, 1 (February 2018): 828 © 2018 The Author(s)
Version: Final published version
ISSN
2041-1723