Inferred allelic variants of immunoglobulin receptor genes: A system for their evaluation, documentation, and naming

Mats Ohlin, Cathrine Scheepers, Martin Corcoran, William D. Lees, Christian E. Busse, Davide Bagnara, Linnea Thörnqvist, Jean Philippe Bürckert, Katherine J.L. Jackson, Duncan Ralph, Chaim A. Schramm, Nishanth Marthandan, Felix Breden, Jamie Scott, Frederick A. Matsen, Victor Greiff, Gur Yaari, Steven H. Kleinstein, Scott Christley, Jacob S. SherkowSofia Kossida, Marie Paule Lefranc, Menno C. Van Zelm, Corey T. Watson, Andrew M. Collins

Research output: Contribution to journalReview articlepeer-review

45 Scopus citations

Abstract

Immunoglobulins or antibodies are the main effector molecules of the B-cell lineage and are encoded by hundreds of variable (V), diversity (D), and joining (J) germline genes, which recombine to generate enormous IG diversity. Recently, high-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) of recombined V-(D)-J genes has offered unprecedented insights into the dynamics of IG repertoires in health and disease. Faithful biological interpretation of AIRR-seq studies depends upon the annotation of raw AIRR-seq data, using reference germline gene databases to identify the germline genes within each rearrangement. Existing reference databases are incomplete, as shown by recent AIRR-seq studies that have inferred the existence of many previously unreported polymorphisms. Completing the documentation of genetic variation in germline gene databases is therefore of crucial importance. Lymphocyte receptor genes and alleles are currently assigned by the Immunoglobulins, T cell Receptors and Major Histocompatibility Nomenclature Subcommittee of the International Union of Immunological Societies (IUIS) and managed in IMGT®, the international ImMunoGeneTics information system® (IMGT). In 2017, the IMGT Group reached agreement with a group of AIRR-seq researchers on the principles of a streamlined process for identifying and naming inferred allelic sequences, for their incorporation into IMGT®. These researchers represented the AIRR Community, a network of over 300 researchers whose objective is to promote all aspects of immunoglobulin and T-cell receptor repertoire studies, including the standardization of experimental and computational aspects of AIRR-seq data generation and analysis. The Inferred Allele Review Committee (IARC) was established by the AIRR Community to devise policies, criteria, and procedures to perform this function. Formalized evaluations of novel inferred sequences have now begun and submissions are invited via a new dedicated portal (https://ogrdb.airr-community.org). Here, we summarize recommendations developed by the IARC—focusing, to begin with, on human IGHV genes—with the goal of facilitating the acceptance of inferred allelic variants of germline IGHV genes. We believe that this initiative will improve the quality of AIRR-seq studies by facilitating the description of human IG germline gene variation, and that in time, it will expand to the documentation of TR and IG genes in many vertebrate species.

Original languageEnglish
Article number435
JournalFrontiers in Immunology
Volume10
Issue numberMAR
DOIs
StatePublished - 2019

Bibliographical note

Publisher Copyright:
Copyright © 2019 Ohlin, Scheepers, Corcoran, Lees, Busse, Bagnara, Thörnqvist, Bürckert, Jackson, Ralph, Schramm, Marthandan, Breden, Scott, Matsen, Greiff, Yaari, Kleinstein, Christley, Sherkow, Kossida, Lefranc, van Zelm, Watson and Collins. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Funding

DB was supported in part by the Fondazione Umberto Veronesi. SC was supported in part by an NIAID grant (R01-AI097403). SK was supported in part by an NIH grant (R01-AI104739). FM and DR were supported in part by NIH grants (R01-GM113246, R01-AI120961, R01-AI138709). DR was also supported by grants from the NIH and University of Washington/Fred Hutchinson CFAR (U19-AI117891, P30-AI027757). MO and LT were supported in part by a grant from the Swedish Research Council (2016-01720). CW was supported in part by NIAID grants (R24-AI138963, R21-AI142590). GY was supported in part by a grant from the United States-Israel Binational Science Foundation (2017253). MvZ was supported in part by a grant from the NHMRC (GNT1117687).

FundersFunder number
University of Washington/Fred Hutchinson CFARU19-AI117891, P30-AI027757
National Institutes of HealthR01-AI120961, R01-AI138709, R01-AI104739
National Institute of General Medical SciencesR01GM113246
National Institute of Allergy and Infectious DiseasesR01-AI097403
National Health and Medical Research CouncilGNT1117687
United States-Israel Binational Science Foundation2017253
Vetenskapsrådet2016-01720, R21-AI142590, R24-AI138963
Fondazione Umberto Veronesi

    Keywords

    • AIRR-seq
    • Allelic variation
    • IGHV
    • Immunoglobulin
    • Inference
    • V(D)J rearrangement

    Fingerprint

    Dive into the research topics of 'Inferred allelic variants of immunoglobulin receptor genes: A system for their evaluation, documentation, and naming'. Together they form a unique fingerprint.

    Cite this