OGRDB: A reference database of inferred immune receptor genes

William Lees, Christian E. Busse, Martin Corcoran, Mats Ohlin, Cathrine Scheepers, Frederick A. Matsen, Gur Yaari, Corey T. Watson, Andrew Collins, Adrian J. Shepherd

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


High-throughput sequencing of the adaptive immune receptor repertoire (AIRR-seq) is providing unprecedented insights into the immune response to disease and into the development of immune disorders. The accurate interpretation of AIRR-seq data depends on the existence of comprehensive germline gene reference sets. Current sets are known to be incomplete and unrepresentative of the degree of polymorphism and diversity in human and animal populations. A key issue is the complexity of the genomic regions in which they lie, which, because of the presence of multiple repeats, insertions and deletions, have not proved tractable with short-read whole genome sequencing. Recently, tools and methods for inferring such gene sequences from AIRR-seq datasets have become available, and a community approach has been developed for the expert review and publication of such inferences. Here, we present OGRDB, the Open Germline Receptor Database (https://ogrdb.airr-community.org), a public resource for the submission, review and publication of previously unknown receptor germline sequences together with supporting evidence.

Original languageEnglish
Pages (from-to)D964-D970
JournalNucleic Acids Research
Issue numberD1
StatePublished - 1 Jan 2020

Bibliographical note

Publisher Copyright:
© 2019 The Author(s). Published by Oxford University Press on behalf of Nucleic Acids Research.


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