Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes

被引:15
作者
Went, Molly [1 ,2 ]
Kinnersley, Ben [1 ]
Sud, Amit [1 ]
Johnson, David C. [2 ]
Weinhold, Niels [3 ]
Foersti, Asta [4 ]
van Duin, Mark [5 ]
Orlando, Giulia [1 ]
Mitchell, Jonathan S. [1 ]
Kuiper, Rowan [5 ]
Walker, Brian A. [6 ]
Gregory, Walter M. [7 ]
Hoffmann, Per [8 ,9 ]
Jackson, Graham H. [10 ]
Noethen, Markus M. [8 ,11 ]
da Silva Filho, Miguel Inacio [4 ]
Thomsen, Hauke [4 ]
Broyl, Annemiek [5 ]
Davies, Faith E. [6 ]
Thorsteinsdottir, Unnur [12 ]
Hansson, Markus [13 ,14 ]
Kaiser, Martin [2 ]
Sonneveld, Pieter [6 ]
Goldschmidt, Hartmut [3 ,8 ]
Stefansson, Kari [12 ]
Hemminki, Kari [4 ]
Nilsson, Bojrn [14 ,15 ]
Morgan, Gareth J. [6 ]
Houlston, Richard S. [1 ]
机构
[1] Inst Canc Res, Div Genet & Epidemiol, 15 Cotswold Rd, Sutton SM2 5NG, Surrey, England
[2] Inst Canc Res, Div Mol Pathol, 15 Cotswold Rd, Sutton SM2 5NG, Surrey, England
[3] Heidelberg Univ, Dept Internal Med 5, D-69117 Heidelberg, Germany
[4] German Canc Res Ctr, D-69120 Heidelberg, Germany
[5] Erasmus MC Canc Inst, Dept Hematol, NL-3075 EA Rotterdam, Netherlands
[6] Univ Arkansas Med Sci, Myeloma Inst Res & Therapy, Little Rock, AR 72205 USA
[7] Univ Leeds, Clin Trials Res Unit, Leeds LS2 9PH, W Yorkshire, England
[8] Univ Bonn, Inst Human Genet, D-53127 Bonn, Germany
[9] Univ Basel, Dept Biomed, Div Med Genet, CH-4003 Basel, Switzerland
[10] Royal Victoria Infirm, Newcastle Upon Tyne NE1 4LP, Tyne & Wear, England
[11] Univ Bonn, Dept Genom Life & Brain Ctr, D-53127 Bonn, Germany
[12] deCODE Genet, Sturlugata 8, IS-101 Reykjavik, Iceland
[13] Skane Univ Hosp, Hematol Clin, SE-22185 Lund, Sweden
[14] Hematol & Transfus Med, Dept Lab Med, BMC B13, SE-22184 Lund, Sweden
[15] Broad Inst, 7 Cambridge Ctr, Cambridge, MA 02142 USA
关键词
Genome-wide association study; Gene expression; Multiple myeloma; Transcriptome-wide association study; EXPRESSION; RISK; CANCER; PROGNOSIS; PROTEIN; CDCA7L; ALLELE; CELLS; 5Q15;
D O I
10.1186/s40246-019-0231-5
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background While genome-wide association studies (GWAS) of multiple myeloma (MM) have identified variants at 23 regions influencing risk, the genes underlying these associations are largely unknown. To identify candidate causal genes at these regions and search for novel risk regions, we performed a multi-tissue transcriptome-wide association study (TWAS). Results GWAS data on 7319 MM cases and 234,385 controls was integrated with Genotype-Tissue Expression Project (GTEx) data assayed in 48 tissues (sample sizes, N = 80-491), including lymphocyte cell lines and whole blood, to predict gene expression. We identified 108 genes at 13 independent regions associated with MM risk, all of which were in 1 Mb of known MM GWAS risk variants. Of these, 94 genes, located in eight regions, had not previously been considered as a candidate gene for that locus. Conclusions Our findings highlight the value of leveraging expression data from multiple tissues to identify candidate genes responsible for GWAS associations which provide insight into MM tumorigenesis. Among the genes identified, a number have plausible roles in MM biology, notably APOBEC3C, APOBEC3H, APOBEC3D, APOBEC3F, APOBEC3G, or have been previously implicated in other malignancies. The genes identified in this TWAS can be explored for follow-up and validation to further understand their role in MM biology.
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共 41 条
  • [1] The multiple myeloma risk allele at 5q15 lowers ELL2 expression and increases ribosomal gene expression
    Ali, Mina
    Ajore, Ram
    Wihlborg, Anna-Karin
    Niroula, Abhishek
    Swaminathan, Bhairavi
    Johnsson, Ellinor
    Stephens, Owen W.
    Morgan, Gareth
    Meissner, Tobias
    Turesson, Ingemar
    Goldschmidt, Hartmut
    Mellqvist, Ulf-Henrik
    Gullberg, Urban
    Hansson, Markus
    Hemminki, Kari
    Nahi, Hareth
    Waage, Anders
    Weinhold, Niels
    Nilsson, Bjorn
    [J]. NATURE COMMUNICATIONS, 2018, 9
  • [2] Familial risks and temporal incidence trends of multiple myeloma
    Altieri, Andrea
    Chen, Bowang
    Bermejo, Justo Lorenzo
    Castro, Felipe
    Hemminki, Kari
    [J]. EUROPEAN JOURNAL OF CANCER, 2006, 42 (11) : 1661 - 1670
  • [3] Integrating predicted transcriptome from multiple tissues improves association detection
    Barbeira, Alvaro N.
    Pividori, Milton D.
    Zheng, Jiamao
    Wheeler, Heather E.
    Nicolae, Dan L.
    Im, Hae Kyung
    [J]. PLOS GENETICS, 2019, 15 (01):
  • [4] HLA polymorphism and risk of multiple myeloma
    Beksac, M.
    Gragert, L.
    Fingerson, S.
    Maiers, M.
    Zhang, M-J
    Albrecht, M.
    Zhong, X.
    Cozen, W.
    Dispenzieri, A.
    Lonial, S.
    Hari, P.
    [J]. LEUKEMIA, 2016, 30 (11) : 2260 - 2264
  • [5] Genomic patterns of progression in smoldering multiple myeloma
    Bolli, Niccolo
    Maura, Francesco
    Minvielle, Stephane
    Gloznik, Dominik
    Szalat, Raphael
    Fullam, Anthony
    Martincorena, Inigo
    Dawson, Kevin J.
    Samur, Mehmet Kemal
    Zamora, Jorge
    Tarpey, Patrick
    Davies, Helen
    Fulciniti, Mariateresa
    Shammas, Masood A.
    Tai, Yu Tzu
    Magrangeas, Florence
    Moreau, Philippe
    Corradini, Paolo
    Anderson, Kenneth
    Alexandrov, Ludmil
    Wedge, David C.
    Avet-Loiseau, Herve
    Campbell, Peter
    Munshi, Nikhil
    [J]. NATURE COMMUNICATIONS, 2018, 9
  • [6] Common variation at 3p22.1 and 7p15.3 influences multiple myeloma risk
    Broderick, Peter
    Chubb, Daniel
    Johnson, David C.
    Weinhold, Niels
    Foersti, Asta
    Lloyd, Amy
    Olver, Bianca
    Ma, Yussanne P.
    Dobbins, Sara E.
    Walker, Brian A.
    Davies, Faith E.
    Gregory, Walter A.
    Child, J. Anthony
    Ross, Fiona M.
    Jackson, Graham H.
    Neben, Kai
    Jauch, Anna
    Hoffmann, Per
    Muehleisen, Thomas W.
    Noethen, Markus M.
    Moebus, Susanne
    Tomlinson, Ian P.
    Goldschmidt, Hartmut
    Hemminki, Kari
    Morgan, Gareth J.
    Houlston, Richard S.
    [J]. NATURE GENETICS, 2012, 44 (01) : 58 - U83
  • [7] CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data
    Cairns, Jonathan
    Freire-Pritchett, Paula
    Wingett, Steven W.
    Varnai, Csilla
    Dimond, Andrew
    Plagnol, Vincent
    Zerbino, Daniel
    Schoenfelder, Stefan
    Javierre, Biola-Maria
    Osborne, Cameron
    Fraser, Peter
    Spivakov, Mikhail
    [J]. GENOME BIOLOGY, 2016, 17
  • [8] Common variation at 3q26.2, 6p21.33, 17p11.2 and 22q13.1 influences multiple myeloma risk
    Chubb, Daniel
    Weinhold, Niels
    Broderick, Peter
    Chen, Bowang
    Johnson, David C.
    Foersti, Asta
    Vijayakrishnan, Jayaram
    Migliorini, Gabriele
    Dobbins, Sara E.
    Holroyd, Amy
    Hose, Dirk
    Walker, Brian A.
    Davies, Faith E.
    Gregory, Walter A.
    Jackson, Graham H.
    Irving, Julie A.
    Pratt, Guy
    Fegan, Chris
    Fenton, James A. L.
    Neben, Kai
    Hoffmann, Per
    Noethen, Markus M.
    Muehleisen, Thomas W.
    Eisele, Lewin
    Ross, Fiona M.
    Straka, Christian
    Einsele, Hermann
    Langer, Christian
    Doerner, Elisabeth
    Allan, James M.
    Jauch, Anna
    Morgan, Gareth J.
    Hemminki, Kari
    Houlston, Richard S.
    Goldschmidt, Hartmut
    [J]. NATURE GENETICS, 2013, 45 (10) : 1221 - U366
  • [9] Step-Wise Assembly, Maturation and Dynamic Behavior of the Human CENP-P/O/R/Q/U Kinetochore SubComplex
    Eskat, Anja
    Deng, Wen
    Hofmeister, Antje
    Rudolphi, Sven
    Emmerth, Stephan
    Hellwig, Daniela
    Ulbricht, Tobias
    Doering, Volker
    Bancroft, James M.
    McAinsh, Andrew D.
    Cardoso, M. Cristina
    Meraldi, Patrick
    Hoischen, Christian
    Leonhardt, Heinrich
    Diekmann, Stephan
    [J]. PLOS ONE, 2012, 7 (09):
  • [10] Principles for the post-GWAS functional characterization of cancer risk loci
    Freedman, Matthew L.
    Monteiro, Alvaro N. A.
    Gayther, Simon A.
    Coetzee, Gerhard A.
    Risch, Angela
    Plass, Christoph
    Casey, Graham
    De Biasi, Mariella
    Carlson, Chris
    Duggan, David
    James, Michael
    Liu, Pengyuan
    Tichelaar, Jay W.
    Vikis, Haris G.
    You, Ming
    Mills, Ian G.
    [J]. NATURE GENETICS, 2011, 43 (06) : 513 - 518