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IgCaller for reconstructing immunoglobulin gene rearrangements and oncogenic translocations from whole-genome sequencing in lymphoid neoplasms

Authors :
Barcelona Supercomputing Center
Nadeu, Ferran
Mas-de-les-Valls, Rut
Navarro, Alba
Royo, Romina
Martín, Silvia
Villamor, Neus
Suárez-Cisneros, Helena
Mares, Rosó
Lu, Junyan
Enjuanes, Anna
Rivas-Delgado, Alfredo
Aymerich, Marta
Baumann, Tycho
Colomer, Dolors
Delgado, Julio
Morin, Ryan D.
Zenz, Thorsten
Puente, Xose S.
Campbell, Peter J.
Beà, Sílvia
Maura, Francesco
Campo, Elías
Barcelona Supercomputing Center
Nadeu, Ferran
Mas-de-les-Valls, Rut
Navarro, Alba
Royo, Romina
Martín, Silvia
Villamor, Neus
Suárez-Cisneros, Helena
Mares, Rosó
Lu, Junyan
Enjuanes, Anna
Rivas-Delgado, Alfredo
Aymerich, Marta
Baumann, Tycho
Colomer, Dolors
Delgado, Julio
Morin, Ryan D.
Zenz, Thorsten
Puente, Xose S.
Campbell, Peter J.
Beà, Sílvia
Maura, Francesco
Campo, Elías
Publication Year :
2020

Abstract

Immunoglobulin (Ig) gene rearrangements and oncogenic translocations are routinely assessed during the characterization of B cell neoplasms and stratification of patients with distinct clinical and biological features, with the assessment done using Sanger sequencing, targeted next-generation sequencing, or fluorescence in situ hybridization (FISH). Currently, a complete Ig characterization cannot be extracted from whole-genome sequencing (WGS) data due to the inherent complexity of the Ig loci. Here, we introduce IgCaller, an algorithm designed to fully characterize Ig gene rearrangements and oncogenic translocations from short-read WGS data. Using a cohort of 404 patients comprising different subtypes of B cell neoplasms, we demonstrate that IgCaller identifies both heavy and light chain rearrangements to provide additional information on their functionality, somatic mutational status, class switch recombination, and oncogenic Ig translocations. Our data thus support IgCaller to be a reliable alternative to Sanger sequencing and FISH for studying the genetic properties of the Ig loci.<br />We are indebted to the Genomics Core Facility of the Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) for the technical support, to R. Siebert and D. Huebschmann for sharing the CSR regions, and to K. Stamatopoulos, E. Vlachonikola and F. Psomopoulos for their helpful comments on the manuscript. We thank R. Eils, P. Lichter, C. von Kalle, S. Fröhling, H. Glimm, M. Zapatka, S. Wolf, K. Beck, and J. Kirchhof for infrastructure and pipeline development within DKFZ-HIPO and NCT POP. This study was supported by the Instituto de Salud Carlos III and the European Regional Development Fund “Una manera de hacer Europa” (PMP15/00007 to E.C.), the “la Caixa” Foundation (CLLEvolution-LCF/PR/HR17/52150017, Health Research 2017 Program HR17-00221 to E.C.), the National Institute of Health “Molecular Diagnosis, Prognosis, and Therapeutic Targets in Mantle Cell Lymphoma” (P01CA229100 to E.C.), and CERCA Programme/Generalitat de Catalunya. F.N. is supported by a pre-doctoral fellowship of the Ministerio de Economía y Competitividad (BES-2016-076372). F.M. is supported by the Memorial Sloan Kettering Cancer Center NCI Core Grant (P30 CA 008748). E.C. is an Academia Researcher of the “Institució Catalana de Recerca i Estudis Avançats” (ICREA) of the Generalitat de Catalunya. This work was partially developed at the Centre Esther Koplowitz (CEK, Barcelona, Spain).<br />Peer Reviewed<br />Postprint (published version)

Details

Database :
OAIster
Notes :
11 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1224045943
Document Type :
Electronic Resource