Comprehensive HLA Typing from a Current Allele Database Using Next-Generation Sequencing Data

Shuji Kawaguchi; Koichiro Higasa; Ryo Yamada; Fumihiko Matsuda

doi:10.1007/978-1-4939-8546-3_16

Comprehensive HLA Typing from a Current Allele Database Using Next-Generation Sequencing Data

Methods Mol Biol. 2018:1802:225-233. doi: 10.1007/978-1-4939-8546-3_16.

Authors

Shuji Kawaguchi¹, Koichiro Higasa¹, Ryo Yamada¹, Fumihiko Matsuda²

Affiliations

¹ Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
² Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan. [email protected].

PMID: 29858813
DOI: 10.1007/978-1-4939-8546-3_16

Abstract

HLA allele information is essential for a variety of medical applications, such as genomic studies of multifactorial diseases, including immune system and inflammation-related disorders, and donor selection in organ transplantation and regenerative medicine. To obtain this information, an accurate HLA typing method that is applicable for any allele registered in HLA allele databases is needed. Here, we describe a method for determining alleles from a current HLA database using next-generation sequencing (NGS) results.

Keywords: Bioinformatics; Database; HLA typing; NGS; Software.

MeSH terms

Algorithms
Alleles*
Databases, Genetic*
Exome Sequencing
High-Throughput Nucleotide Sequencing / methods*
Histocompatibility Testing / methods*
Humans