Identification of miRSNPs associated with the risk of multiple myeloma

Angelica Macauda, Diego Calvetti, Giuseppe Maccari, Kari Hemminki, Asta Försti, Hartmut Goldschmidt, Niels Weinhold, Richard Houlston, Vibeke Andersen, Ulla Vogel, Gabriele Buda, Judit Varkonyi, Anna Sureda, Joaquin Martinez Lopez, Marzena Watek, Aleksandra Butrym, Maria Eugenia Sarasquete, Marek Dudziński, Artur Jurczyszyn, Agnieszka Druzd-SitekMarcin Kruszewski, Edyta Subocz, Mario Petrini, Elzbieta Iskierka-Jażdżewska, Malgorzata Raźny, Gergely Szombath, Herlander Marques, Daria Zawirska, Dominik Chraniuk, Janusz Halka, Svend Erik Hove Jacobsen, Grzegorz Mazur, Ramón García Sanz, Charles Dumontet, Victor Moreno, Anna Stępień, Katia Beider, Matteo Pelosini, Rui Manuel Reis, Malgorzata Krawczyk-Kulis, Marcin Rymko, Hervé Avet-Loiseau, Fabienne Lesueur, Norbert Grząśko, Olga Ostrovsky, Krzysztof Jamroziak, Annette J Vangsted, Andrés Jerez, Waldemar Tomczak, Jan Maciej Zaucha, Katalin Kadar, Juan Sainz Pérez, Arnon Nagler, Stefano Landi, Federica Gemignani, Federico Canzian

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Resumé

Multiple myeloma (MM) is a malignancy of plasma cells usually infiltrating the bone marrow, associated with the production of a monoclonal immunoglobulin (M protein) which can be detected in the blood and/or urine. Multiple lines of evidence suggest that genetic factors are involved in MM pathogenesis, and several studies have identified single nucleotide polymorphisms (SNPs) associated with the susceptibility to the disease. SNPs within miRNA-binding sites in target genes (miRSNPs) may alter the strength of miRNA-mRNA interactions, thus deregulating protein expression. MiRSNPs are known to be associated with risk of various types of cancer, but they have never been investigated in MM. We performed an in silico genome-wide search for miRSNPs predicted to alter binding of miRNAs to their target sequences. We selected 12 miRSNPs and tested their association with MM risk. Our study population consisted of 1,832 controls and 2,894 MM cases recruited from 7 European countries and Israel in the context of the IMMEnSE (International Multiple Myeloma rESEarch) consortium. In this population two SNPs showed an association with p<0.05: rs286595 (located in gene MRLP22) and rs14191881 (located in gene TCF19). Results from IMMEnSE were meta-analyzed with data from a previously published genome-wide association study (GWAS). The SNPs rs13409 (located in the 3'UTR of the POU5F1 gene), rs1419881 (TCF19), rs1049633, rs1049623 (both in DDR1) showed significant associations with MM risk. In conclusion, we sought to identify genetic polymorphisms associated with MM risk starting from genome-wide prediction of miRSNPs. For some mirSNPs we have shown promising associations with MM risk. This article is protected by copyright. All rights reserved.

OriginalsprogEngelsk
TidsskriftInternational Journal of Cancer
Vol/bind140
Udgave nummer3
Sider (fra-til)526-534
ISSN0020-7136
DOI
StatusUdgivet - 2017

Fingeraftryk

Single Nucleotide Polymorphism
MicroRNAs
Genome-Wide Association Study
Genetic Polymorphisms
Israel
Plasma Cells
Computer Simulation
Population
Neoplasms
Proteins
Urine
Messenger RNA
Research

Citer dette

Macauda, A., Calvetti, D., Maccari, G., Hemminki, K., Försti, A., Goldschmidt, H., ... Canzian, F. (2017). Identification of miRSNPs associated with the risk of multiple myeloma. International Journal of Cancer, 140(3), 526-534. https://doi.org/10.1002/ijc.30465
Macauda, Angelica ; Calvetti, Diego ; Maccari, Giuseppe ; Hemminki, Kari ; Försti, Asta ; Goldschmidt, Hartmut ; Weinhold, Niels ; Houlston, Richard ; Andersen, Vibeke ; Vogel, Ulla ; Buda, Gabriele ; Varkonyi, Judit ; Sureda, Anna ; Lopez, Joaquin Martinez ; Watek, Marzena ; Butrym, Aleksandra ; Sarasquete, Maria Eugenia ; Dudziński, Marek ; Jurczyszyn, Artur ; Druzd-Sitek, Agnieszka ; Kruszewski, Marcin ; Subocz, Edyta ; Petrini, Mario ; Iskierka-Jażdżewska, Elzbieta ; Raźny, Malgorzata ; Szombath, Gergely ; Marques, Herlander ; Zawirska, Daria ; Chraniuk, Dominik ; Halka, Janusz ; Hove Jacobsen, Svend Erik ; Mazur, Grzegorz ; Sanz, Ramón García ; Dumontet, Charles ; Moreno, Victor ; Stępień, Anna ; Beider, Katia ; Pelosini, Matteo ; Reis, Rui Manuel ; Krawczyk-Kulis, Malgorzata ; Rymko, Marcin ; Avet-Loiseau, Hervé ; Lesueur, Fabienne ; Grząśko, Norbert ; Ostrovsky, Olga ; Jamroziak, Krzysztof ; Vangsted, Annette J ; Jerez, Andrés ; Tomczak, Waldemar ; Zaucha, Jan Maciej ; Kadar, Katalin ; Pérez, Juan Sainz ; Nagler, Arnon ; Landi, Stefano ; Gemignani, Federica ; Canzian, Federico. / Identification of miRSNPs associated with the risk of multiple myeloma. I: International Journal of Cancer. 2017 ; Bind 140, Nr. 3. s. 526-534.
@article{329c0309731b457486714d65546bcee3,
title = "Identification of miRSNPs associated with the risk of multiple myeloma",
abstract = "Multiple myeloma (MM) is a malignancy of plasma cells usually infiltrating the bone marrow, associated with the production of a monoclonal immunoglobulin (M protein) which can be detected in the blood and/or urine. Multiple lines of evidence suggest that genetic factors are involved in MM pathogenesis, and several studies have identified single nucleotide polymorphisms (SNPs) associated with the susceptibility to the disease. SNPs within miRNA-binding sites in target genes (miRSNPs) may alter the strength of miRNA-mRNA interactions, thus deregulating protein expression. MiRSNPs are known to be associated with risk of various types of cancer, but they have never been investigated in MM. We performed an in silico genome-wide search for miRSNPs predicted to alter binding of miRNAs to their target sequences. We selected 12 miRSNPs and tested their association with MM risk. Our study population consisted of 1,832 controls and 2,894 MM cases recruited from 7 European countries and Israel in the context of the IMMEnSE (International Multiple Myeloma rESEarch) consortium. In this population two SNPs showed an association with p<0.05: rs286595 (located in gene MRLP22) and rs14191881 (located in gene TCF19). Results from IMMEnSE were meta-analyzed with data from a previously published genome-wide association study (GWAS). The SNPs rs13409 (located in the 3'UTR of the POU5F1 gene), rs1419881 (TCF19), rs1049633, rs1049623 (both in DDR1) showed significant associations with MM risk. In conclusion, we sought to identify genetic polymorphisms associated with MM risk starting from genome-wide prediction of miRSNPs. For some mirSNPs we have shown promising associations with MM risk. This article is protected by copyright. All rights reserved.",
author = "Angelica Macauda and Diego Calvetti and Giuseppe Maccari and Kari Hemminki and Asta F{\"o}rsti and Hartmut Goldschmidt and Niels Weinhold and Richard Houlston and Vibeke Andersen and Ulla Vogel and Gabriele Buda and Judit Varkonyi and Anna Sureda and Lopez, {Joaquin Martinez} and Marzena Watek and Aleksandra Butrym and Sarasquete, {Maria Eugenia} and Marek Dudziński and Artur Jurczyszyn and Agnieszka Druzd-Sitek and Marcin Kruszewski and Edyta Subocz and Mario Petrini and Elzbieta Iskierka-Jażdżewska and Malgorzata Raźny and Gergely Szombath and Herlander Marques and Daria Zawirska and Dominik Chraniuk and Janusz Halka and {Hove Jacobsen}, {Svend Erik} and Grzegorz Mazur and Sanz, {Ram{\'o}n Garc{\'i}a} and Charles Dumontet and Victor Moreno and Anna Stępień and Katia Beider and Matteo Pelosini and Reis, {Rui Manuel} and Malgorzata Krawczyk-Kulis and Marcin Rymko and Herv{\'e} Avet-Loiseau and Fabienne Lesueur and Norbert Grząśko and Olga Ostrovsky and Krzysztof Jamroziak and Vangsted, {Annette J} and Andr{\'e}s Jerez and Waldemar Tomczak and Zaucha, {Jan Maciej} and Katalin Kadar and P{\'e}rez, {Juan Sainz} and Arnon Nagler and Stefano Landi and Federica Gemignani and Federico Canzian",
note = "{\circledC} 2016 UICC.",
year = "2017",
doi = "10.1002/ijc.30465",
language = "English",
volume = "140",
pages = "526--534",
journal = "International Journal of Cancer",
issn = "0020-7136",
publisher = "JohnWiley & Sons, Inc.",
number = "3",

}

Macauda, A, Calvetti, D, Maccari, G, Hemminki, K, Försti, A, Goldschmidt, H, Weinhold, N, Houlston, R, Andersen, V, Vogel, U, Buda, G, Varkonyi, J, Sureda, A, Lopez, JM, Watek, M, Butrym, A, Sarasquete, ME, Dudziński, M, Jurczyszyn, A, Druzd-Sitek, A, Kruszewski, M, Subocz, E, Petrini, M, Iskierka-Jażdżewska, E, Raźny, M, Szombath, G, Marques, H, Zawirska, D, Chraniuk, D, Halka, J, Hove Jacobsen, SE, Mazur, G, Sanz, RG, Dumontet, C, Moreno, V, Stępień, A, Beider, K, Pelosini, M, Reis, RM, Krawczyk-Kulis, M, Rymko, M, Avet-Loiseau, H, Lesueur, F, Grząśko, N, Ostrovsky, O, Jamroziak, K, Vangsted, AJ, Jerez, A, Tomczak, W, Zaucha, JM, Kadar, K, Pérez, JS, Nagler, A, Landi, S, Gemignani, F & Canzian, F 2017, 'Identification of miRSNPs associated with the risk of multiple myeloma', International Journal of Cancer, bind 140, nr. 3, s. 526-534. https://doi.org/10.1002/ijc.30465

Identification of miRSNPs associated with the risk of multiple myeloma. / Macauda, Angelica; Calvetti, Diego; Maccari, Giuseppe; Hemminki, Kari; Försti, Asta; Goldschmidt, Hartmut; Weinhold, Niels; Houlston, Richard; Andersen, Vibeke; Vogel, Ulla; Buda, Gabriele; Varkonyi, Judit; Sureda, Anna; Lopez, Joaquin Martinez; Watek, Marzena; Butrym, Aleksandra; Sarasquete, Maria Eugenia; Dudziński, Marek; Jurczyszyn, Artur; Druzd-Sitek, Agnieszka; Kruszewski, Marcin; Subocz, Edyta; Petrini, Mario; Iskierka-Jażdżewska, Elzbieta; Raźny, Malgorzata; Szombath, Gergely; Marques, Herlander; Zawirska, Daria; Chraniuk, Dominik; Halka, Janusz; Hove Jacobsen, Svend Erik; Mazur, Grzegorz; Sanz, Ramón García; Dumontet, Charles; Moreno, Victor; Stępień, Anna; Beider, Katia; Pelosini, Matteo; Reis, Rui Manuel; Krawczyk-Kulis, Malgorzata; Rymko, Marcin; Avet-Loiseau, Hervé; Lesueur, Fabienne; Grząśko, Norbert; Ostrovsky, Olga; Jamroziak, Krzysztof; Vangsted, Annette J; Jerez, Andrés; Tomczak, Waldemar; Zaucha, Jan Maciej; Kadar, Katalin; Pérez, Juan Sainz; Nagler, Arnon; Landi, Stefano; Gemignani, Federica; Canzian, Federico.

I: International Journal of Cancer, Bind 140, Nr. 3, 2017, s. 526-534.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Identification of miRSNPs associated with the risk of multiple myeloma

AU - Macauda, Angelica

AU - Calvetti, Diego

AU - Maccari, Giuseppe

AU - Hemminki, Kari

AU - Försti, Asta

AU - Goldschmidt, Hartmut

AU - Weinhold, Niels

AU - Houlston, Richard

AU - Andersen, Vibeke

AU - Vogel, Ulla

AU - Buda, Gabriele

AU - Varkonyi, Judit

AU - Sureda, Anna

AU - Lopez, Joaquin Martinez

AU - Watek, Marzena

AU - Butrym, Aleksandra

AU - Sarasquete, Maria Eugenia

AU - Dudziński, Marek

AU - Jurczyszyn, Artur

AU - Druzd-Sitek, Agnieszka

AU - Kruszewski, Marcin

AU - Subocz, Edyta

AU - Petrini, Mario

AU - Iskierka-Jażdżewska, Elzbieta

AU - Raźny, Malgorzata

AU - Szombath, Gergely

AU - Marques, Herlander

AU - Zawirska, Daria

AU - Chraniuk, Dominik

AU - Halka, Janusz

AU - Hove Jacobsen, Svend Erik

AU - Mazur, Grzegorz

AU - Sanz, Ramón García

AU - Dumontet, Charles

AU - Moreno, Victor

AU - Stępień, Anna

AU - Beider, Katia

AU - Pelosini, Matteo

AU - Reis, Rui Manuel

AU - Krawczyk-Kulis, Malgorzata

AU - Rymko, Marcin

AU - Avet-Loiseau, Hervé

AU - Lesueur, Fabienne

AU - Grząśko, Norbert

AU - Ostrovsky, Olga

AU - Jamroziak, Krzysztof

AU - Vangsted, Annette J

AU - Jerez, Andrés

AU - Tomczak, Waldemar

AU - Zaucha, Jan Maciej

AU - Kadar, Katalin

AU - Pérez, Juan Sainz

AU - Nagler, Arnon

AU - Landi, Stefano

AU - Gemignani, Federica

AU - Canzian, Federico

N1 - © 2016 UICC.

PY - 2017

Y1 - 2017

N2 - Multiple myeloma (MM) is a malignancy of plasma cells usually infiltrating the bone marrow, associated with the production of a monoclonal immunoglobulin (M protein) which can be detected in the blood and/or urine. Multiple lines of evidence suggest that genetic factors are involved in MM pathogenesis, and several studies have identified single nucleotide polymorphisms (SNPs) associated with the susceptibility to the disease. SNPs within miRNA-binding sites in target genes (miRSNPs) may alter the strength of miRNA-mRNA interactions, thus deregulating protein expression. MiRSNPs are known to be associated with risk of various types of cancer, but they have never been investigated in MM. We performed an in silico genome-wide search for miRSNPs predicted to alter binding of miRNAs to their target sequences. We selected 12 miRSNPs and tested their association with MM risk. Our study population consisted of 1,832 controls and 2,894 MM cases recruited from 7 European countries and Israel in the context of the IMMEnSE (International Multiple Myeloma rESEarch) consortium. In this population two SNPs showed an association with p<0.05: rs286595 (located in gene MRLP22) and rs14191881 (located in gene TCF19). Results from IMMEnSE were meta-analyzed with data from a previously published genome-wide association study (GWAS). The SNPs rs13409 (located in the 3'UTR of the POU5F1 gene), rs1419881 (TCF19), rs1049633, rs1049623 (both in DDR1) showed significant associations with MM risk. In conclusion, we sought to identify genetic polymorphisms associated with MM risk starting from genome-wide prediction of miRSNPs. For some mirSNPs we have shown promising associations with MM risk. This article is protected by copyright. All rights reserved.

AB - Multiple myeloma (MM) is a malignancy of plasma cells usually infiltrating the bone marrow, associated with the production of a monoclonal immunoglobulin (M protein) which can be detected in the blood and/or urine. Multiple lines of evidence suggest that genetic factors are involved in MM pathogenesis, and several studies have identified single nucleotide polymorphisms (SNPs) associated with the susceptibility to the disease. SNPs within miRNA-binding sites in target genes (miRSNPs) may alter the strength of miRNA-mRNA interactions, thus deregulating protein expression. MiRSNPs are known to be associated with risk of various types of cancer, but they have never been investigated in MM. We performed an in silico genome-wide search for miRSNPs predicted to alter binding of miRNAs to their target sequences. We selected 12 miRSNPs and tested their association with MM risk. Our study population consisted of 1,832 controls and 2,894 MM cases recruited from 7 European countries and Israel in the context of the IMMEnSE (International Multiple Myeloma rESEarch) consortium. In this population two SNPs showed an association with p<0.05: rs286595 (located in gene MRLP22) and rs14191881 (located in gene TCF19). Results from IMMEnSE were meta-analyzed with data from a previously published genome-wide association study (GWAS). The SNPs rs13409 (located in the 3'UTR of the POU5F1 gene), rs1419881 (TCF19), rs1049633, rs1049623 (both in DDR1) showed significant associations with MM risk. In conclusion, we sought to identify genetic polymorphisms associated with MM risk starting from genome-wide prediction of miRSNPs. For some mirSNPs we have shown promising associations with MM risk. This article is protected by copyright. All rights reserved.

U2 - 10.1002/ijc.30465

DO - 10.1002/ijc.30465

M3 - Journal article

C2 - 27718532

VL - 140

SP - 526

EP - 534

JO - International Journal of Cancer

JF - International Journal of Cancer

SN - 0020-7136

IS - 3

ER -

Macauda A, Calvetti D, Maccari G, Hemminki K, Försti A, Goldschmidt H et al. Identification of miRSNPs associated with the risk of multiple myeloma. International Journal of Cancer. 2017;140(3):526-534. https://doi.org/10.1002/ijc.30465