Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 114, Issue 30, Pages 8059-8064Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1707945114
Keywords
MHC; autoimmune diseases; transplantation
Categories
Funding
- Public Health Service Grant/Cooperative Agreement from the National Cancer Institute (NCI) [5U24-CA076518]
- National Heart, Lung and Blood Institute (NHLBI)
- National Institute of Allergy and Infectious Diseases
- NHLBI
- NCI [5U10HL069294]
- Health Resources and Services Administration (HRSA/DHHS) [HHSH250201200016C]
- Office of Naval Research Grants [N00014-14-1-0028, N00014-15-1-0848]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available