Standard reference sequences for submission of HLA genotyping for the 18th International HLA and Immunogenetics Workshop

Abstract

The International human leukocyte antigen (HLA) and Immunogenetics Workshops (IHIWs) have fostered international collaborations of researchers and experts in the fields of HLA, histocompatibility and immunology. These IHIW collaborations have comprised many projects focused on achieving a variety of specific goals. The international and collaborative nature of these projects necessitates the collection and analysis of complex data generated in multiple laboratories, often using multiple methods of acquisition. Collection and storage of these data in a consistent way adds value to IHIW projects, which can be extended to future work. DNA‐based genotyping data, especially HLA genotyping data, can be transmitted in the form of a Histoimmunogenetics Markup Language (HML) document. HML facilitates clear communication of a genotype and supporting metadata, such as, sequencing platform, laboratory assays, consensus sequence, and interpretation. Sequence information can be reported relative to known reference sequences, which add meaning and context to genotypes. Selecting the correct reference sequence for a given allele sequence is nuanced, and guidelines have emerged through collaborative community efforts such as Data Standards Hackathons. Here, we describe the guidelines established for the selection of reference sequences to be used in transmission of HLA (and MICA/MICB) genotyping data for the 18th IHIW.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 25, 2021
Source ID
10.1111/tan.14259

Entities

People

  • Benedict M. Matern
  • Eric Spierings
  • James Robinson
  • Kazutoyo Osoegawa
  • Martin Maiers
  • Matthias Niemann
  • Sebastiaan Heidt
  • Steven J. Mack

Organizations

  • Leiden University
  • National Institutes of Health
  • Office of Naval Research
  • Royal Free Hospital
  • Stanford University
  • University College London
  • University Medical Center Utrecht
  • University of California

Tags

Fields of Study

  • Biology

Readers

  • Immunology
  • Molecular and genetic basis of cancer.
  • Software Engineering.