| Literature DB >> 28674023 |
Chao Xie1, Zhen Xuan Yeo2, Marie Wong2, Jason Piper2, Tao Long3, Ewen F Kirkness3, William H Biggs3, Ken Bloom3, Stephen Spellman4, Cynthia Vierra-Green4, Colleen Brady4, Richard H Scheuermann5,6, Amalio Telenti3, Sally Howard3, Suzanne Brewerton2, Yaron Turpaz2,3, J Craig Venter7,5.
Abstract
The HLA gene complex on human chromosome 6 is one of the most polymorphic regions in the human genome and contributes in large part to the diversity of the immune system. Accurate typing of HLA genes with short-read sequencing data has historically been difficult due to the sequence similarity between the polymorphic alleles. Here, we introduce an algorithm, xHLA, that iteratively refines the mapping results at the amino acid level to achieve 99-100% four-digit typing accuracy for both class I and II HLA genes, taking only [Formula: see text]3 min to process a 30× whole-genome BAM file on a desktop computer.Entities:
Keywords: MHC; autoimmune diseases; transplantation
Mesh:
Year: 2017 PMID: 28674023 PMCID: PMC5544337 DOI: 10.1073/pnas.1707945114
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205