Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma

Detalhes bibliográficos
Autor(a) principal: Pertesi, Maroulio
Data de Publicação: 2019
Outros Autores: Vallée, Maxime, Wei, Xiaomu, Revuelta, Maria V., Galia, Perrine, Demangel, Delphine, Oliver, Javier, Foll, Matthieu, Chen, Siwei, Reis, R. M.
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/1822/67347
Resumo: [Excerpt] Multiple myeloma (MM) is the third most common hematological malignancy, after Non-Hodgkin Lymphoma and Leukemia. MM is generally preceded by Monoclonal Gammopathy of Undetermined Significance (MGUS) [1], and epidemiological studies have identified older age, male gender, family history, and MGUS as risk factors for developing MM [2]. The somatic mutational landscape of sporadic MM has been increasingly investigated, aiming to identify recurrent genetic events involved in myelomagenesis. Whole exome and whole genome sequencing studies have shown that MM is a genetically heterogeneous disease that evolves through accumulation of both clonal and subclonal driver mutations [3] and identified recurrently somatically mutated genes, including KRAS, NRAS, FAM46C, TP53, DIS3, BRAF, TRAF3, CYLD, RB1 and PRDM1 [3,4,5]. Despite the fact that family-based studies have provided data consistent with an inherited genetic susceptibility to MM compatible with Mendelian transmission [6], the molecular basis of inherited MM predisposition is only partly understood. Genome-Wide Association (GWAS) studies have identified and validated 23 loci significantly associated with an increased risk of developing MM that explain ~16% of heritability [7] and only a subset of familial cases are thought to have a polygenic background [8]. Recent studies have identified rare germline variants predisposing to MM in KDM1A [9], ARID1A and USP45 [10], and the implementation of next-generation sequencing technology will allow the characterization of more such rare variants. [...]
id RCAP_c96dbeebecc3e9dbf47c23da370b15e7
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/67347
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Exome sequencing identifies germline variants in DIS3 in familial multiple myelomaExomeExosome Multienzyme Ribonuclease ComplexFemaleGenetic Predisposition to DiseaseGerm-Line MutationHumansMultiple MyelomaPedigreeWhole Exome SequencingCiências Médicas::Medicina BásicaScience & Technology[Excerpt] Multiple myeloma (MM) is the third most common hematological malignancy, after Non-Hodgkin Lymphoma and Leukemia. MM is generally preceded by Monoclonal Gammopathy of Undetermined Significance (MGUS) [1], and epidemiological studies have identified older age, male gender, family history, and MGUS as risk factors for developing MM [2]. The somatic mutational landscape of sporadic MM has been increasingly investigated, aiming to identify recurrent genetic events involved in myelomagenesis. Whole exome and whole genome sequencing studies have shown that MM is a genetically heterogeneous disease that evolves through accumulation of both clonal and subclonal driver mutations [3] and identified recurrently somatically mutated genes, including KRAS, NRAS, FAM46C, TP53, DIS3, BRAF, TRAF3, CYLD, RB1 and PRDM1 [3,4,5]. Despite the fact that family-based studies have provided data consistent with an inherited genetic susceptibility to MM compatible with Mendelian transmission [6], the molecular basis of inherited MM predisposition is only partly understood. Genome-Wide Association (GWAS) studies have identified and validated 23 loci significantly associated with an increased risk of developing MM that explain ~16% of heritability [7] and only a subset of familial cases are thought to have a polygenic background [8]. Recent studies have identified rare germline variants predisposing to MM in KDM1A [9], ARID1A and USP45 [10], and the implementation of next-generation sequencing technology will allow the characterization of more such rare variants. [...]French National Cancer Institute (INCA) and the Fondation Française pour la Recherche contre le Myélome et les Gammapathies (FFMRG), the Intergroupe Francophone du Myélome (IFM), NCI R01 NCI CA167824 and a generous donation from Matthew Bell. This work was supported in part through the computational resources and staff expertise provided by Scientific Computing at the Icahn School of Medicine at Mount Sinai. Research reported in this paper was supported by the Office of Research Infrastructure of the National Institutes of Health under award number S10OD018522. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors thank the Association des Malades du Myélome Multiple (AF3M) for their continued support and participation. Where authors are identified as personnel of the International Agency for Research on Cancer / World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer / World Health OrganizationSpringer Natureet. al.Universidade do MinhoPertesi, MaroulioVallée, MaximeWei, XiaomuRevuelta, Maria V.Galia, PerrineDemangel, DelphineOliver, JavierFoll, MatthieuChen, SiweiReis, R. M.2019-042019-04-01T00:00:00Zletter to the editorinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/67347engPertesi, M., Vallée, M., Wei, X. et al. Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma. Leukemia 33, 2324–2330 (2019).0887-69241476-555110.1038/s41375-019-0452-630967618https://www.nature.com/articles/s41375-019-0452-6info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:54:26Zoai:repositorium.sdum.uminho.pt:1822/67347Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:02:23.906504Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma
title Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma
spellingShingle Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma
Pertesi, Maroulio
Exome
Exosome Multienzyme Ribonuclease Complex
Female
Genetic Predisposition to Disease
Germ-Line Mutation
Humans
Multiple Myeloma
Pedigree
Whole Exome Sequencing
Ciências Médicas::Medicina Básica
Science & Technology
title_short Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma
title_full Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma
title_fullStr Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma
title_full_unstemmed Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma
title_sort Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma
author Pertesi, Maroulio
author_facet Pertesi, Maroulio
Vallée, Maxime
Wei, Xiaomu
Revuelta, Maria V.
Galia, Perrine
Demangel, Delphine
Oliver, Javier
Foll, Matthieu
Chen, Siwei
Reis, R. M.
author_role author
author2 Vallée, Maxime
Wei, Xiaomu
Revuelta, Maria V.
Galia, Perrine
Demangel, Delphine
Oliver, Javier
Foll, Matthieu
Chen, Siwei
Reis, R. M.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv et. al.
Universidade do Minho
dc.contributor.author.fl_str_mv Pertesi, Maroulio
Vallée, Maxime
Wei, Xiaomu
Revuelta, Maria V.
Galia, Perrine
Demangel, Delphine
Oliver, Javier
Foll, Matthieu
Chen, Siwei
Reis, R. M.
dc.subject.por.fl_str_mv Exome
Exosome Multienzyme Ribonuclease Complex
Female
Genetic Predisposition to Disease
Germ-Line Mutation
Humans
Multiple Myeloma
Pedigree
Whole Exome Sequencing
Ciências Médicas::Medicina Básica
Science & Technology
topic Exome
Exosome Multienzyme Ribonuclease Complex
Female
Genetic Predisposition to Disease
Germ-Line Mutation
Humans
Multiple Myeloma
Pedigree
Whole Exome Sequencing
Ciências Médicas::Medicina Básica
Science & Technology
description [Excerpt] Multiple myeloma (MM) is the third most common hematological malignancy, after Non-Hodgkin Lymphoma and Leukemia. MM is generally preceded by Monoclonal Gammopathy of Undetermined Significance (MGUS) [1], and epidemiological studies have identified older age, male gender, family history, and MGUS as risk factors for developing MM [2]. The somatic mutational landscape of sporadic MM has been increasingly investigated, aiming to identify recurrent genetic events involved in myelomagenesis. Whole exome and whole genome sequencing studies have shown that MM is a genetically heterogeneous disease that evolves through accumulation of both clonal and subclonal driver mutations [3] and identified recurrently somatically mutated genes, including KRAS, NRAS, FAM46C, TP53, DIS3, BRAF, TRAF3, CYLD, RB1 and PRDM1 [3,4,5]. Despite the fact that family-based studies have provided data consistent with an inherited genetic susceptibility to MM compatible with Mendelian transmission [6], the molecular basis of inherited MM predisposition is only partly understood. Genome-Wide Association (GWAS) studies have identified and validated 23 loci significantly associated with an increased risk of developing MM that explain ~16% of heritability [7] and only a subset of familial cases are thought to have a polygenic background [8]. Recent studies have identified rare germline variants predisposing to MM in KDM1A [9], ARID1A and USP45 [10], and the implementation of next-generation sequencing technology will allow the characterization of more such rare variants. [...]
publishDate 2019
dc.date.none.fl_str_mv 2019-04
2019-04-01T00:00:00Z
dc.type.driver.fl_str_mv letter to the editor
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/67347
url http://hdl.handle.net/1822/67347
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pertesi, M., Vallée, M., Wei, X. et al. Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma. Leukemia 33, 2324–2330 (2019).
0887-6924
1476-5551
10.1038/s41375-019-0452-6
30967618
https://www.nature.com/articles/s41375-019-0452-6
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833595056661987328