4.8 Article

Fast and accurate HLA typing from short-read next-generation sequence data with xHLA

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1707945114

关键词

MHC; autoimmune diseases; transplantation

资金

  1. Public Health Service Grant/Cooperative Agreement from the National Cancer Institute (NCI) [5U24-CA076518]
  2. National Heart, Lung and Blood Institute (NHLBI)
  3. National Institute of Allergy and Infectious Diseases
  4. NHLBI
  5. NCI [5U10HL069294]
  6. Health Resources and Services Administration (HRSA/DHHS) [HHSH250201200016C]
  7. Office of Naval Research Grants [N00014-14-1-0028, N00014-15-1-0848]

向作者/读者索取更多资源

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 similar to 3 min to process a 30 x whole-genome BAM file on a desktop computer.

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