Human leukocyte antigen typing using a knowledge base coupled with a high-throughput oligonucleotide probe array analysis

Guang Lan Zhang, Derin B. Keskin, Hsin Nan Lin, Hong Huang Lin, David S. DeLuca, Scott Leppanen, Edgar L. Milford, Ellis L. Reinherz, Vladimir Brusic

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Human leukocyte antigens (HLA) are important biomarkers because multiple diseases, drug toxicity, and vaccine responses reveal strong HLA associations. Current clinical HLA typing is an elimination process requiring serial testing. We present an alternative in situ synthesized DNA-based microarray method that contains hundreds of thousands of probes representing a complete overlapping set covering 1,610 clinically relevant HLA class I alleles accompanied by computational tools for assigning HLA type to 4-digit resolution. Our proof-of-concept experiment included 21 blood samples, 18 cell lines, and multiple controls. The method is accurate, robust, and amenable to automation. Typing errors were restricted to homozygous samples or those with very closely related alleles from the same locus, but readily resolved by targeted DNA sequencing validation of flagged samples. High-throughput HLA typing technologies that are effective, yet inexpensive, can be used to analyze the world's populations, benefiting both global public health and personalized health care.

Original languageEnglish
Article number597
JournalFrontiers in Immunology
Volume5
Issue numberNOV
DOIs
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • HLA disease association
  • HLA typing
  • Population typing

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology

Fingerprint Dive into the research topics of 'Human leukocyte antigen typing using a knowledge base coupled with a high-throughput oligonucleotide probe array analysis'. Together they form a unique fingerprint.

Cite this