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.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Transcriptome-wide association study identifies multiple genes and pathways associated with pancreatic cancer
    Gong, Liuyun
    Zhang, Dan
    Lei, Yutiantian
    Qian, Yuanjie
    Tan, Xinyue
    Han, Suxia
    CANCER MEDICINE, 2018, 7 (11): : 5727 - 5732
  • [32] Transcriptome-wide association analysis identified candidate susceptibility genes for nasopharyngeal carcinoma
    He, Yong-Qiao
    Xue, Wen-Qiong
    Li, Dan-Hua
    Wang, Tong-Min
    Mai, Zhi-Ming
    Yang, Da-Wei
    Deng, Chang-Mi
    Liao, Ying
    Zhang, Wen-Li
    Xiao, Ruo-Wen
    Luo, Luting
    Diao, Hua
    Tong, Xiating
    Wu, Yanxia
    Zhang, Jiang-Bo
    Zhou, Ting
    Li, Xi-Zhao
    Zhang, Pei-Fen
    Zheng, Xiao-Hui
    Zhang, Shao-Dan
    Hu, Ye-Zhu
    Tang, Minzhong
    Zheng, Yuming
    Cai, Yonglin
    Chang, Ellen T.
    Zhang, Zhe
    Huang, Guangwu
    Cao, Su-Mei
    Liu, Qing
    Feng, Lin
    Sun, Ying
    Lung, Maria Li
    Adami, Hans-Olov
    Ye, Weimin
    Lam, Tai-Hing
    Jia, Wei-Hua
    CANCER COMMUNICATIONS, 2022, 42 (09) : 887 - 891
  • [33] A cross-tissue transcriptome-wide association study identifies new susceptibility genes for frailty
    Lin, Daoyi
    Wu, Shuyan
    Li, Wangyu
    Ye, Peng
    Pan, Xuan
    Zheng, Ting
    Gao, Fei
    FRONTIERS IN GENETICS, 2024, 15
  • [34] Transcriptome-wide association study identifies novel genes associated with breast cancer susceptibility in Latinas
    Kapoor, Pooja Middha
    Mak, Angel C.
    Kachuri, Linda
    Hu, Donglei
    Huntsman, Scott
    Kushi, Lawrence H.
    Haiman, Christopher
    John, Esther M.
    Torres-Mejia, Gabriela
    Burchard, Esteban G.
    Neuhausen, Susan L.
    Fejerman, Laura
    Ziv, Elad
    CANCER RESEARCH, 2022, 82 (12)
  • [35] Transcriptome-wide association study identifies new prostate cancer susceptibility genes in the OncoArray data
    Mancuso, Nicholas
    Zheng, Wei
    Penney, Kathryn
    Kote-Jarai, Zsofia
    Haiman, Christopher
    Gayther, Simon
    Freedman, Matthew
    Pasaniuc, Bogdan
    CANCER RESEARCH, 2017, 77
  • [36] Transcriptome-wide association study identifies multiple genes associated with childhood body mass index
    Shi Yao
    Hao Wu
    Jing-Miao Ding
    Zhuo-Xin Wang
    Tahir Ullah
    Shan-Shan Dong
    Hao Chen
    Yan Guo
    International Journal of Obesity, 2021, 45 : 1105 - 1113
  • [37] Transcriptome-wide association study identifies multiple genes associated with childhood body mass index
    Yao, Shi
    Wu, Hao
    Ding, Jing-Miao
    Wang, Zhuo-Xin
    Ullah, Tahir
    Dong, Shan-Shan
    Chen, Hao
    Guo, Yan
    INTERNATIONAL JOURNAL OF OBESITY, 2021, 45 (05) : 1105 - 1113
  • [38] A transcriptome-wide association study of Alzheimer's disease using prediction models of relevant tissues identifies novel candidate susceptibility genes
    Sun, Yanfa
    Zhu, Jingjing
    Zhou, Dan
    Canchi, Saranya
    Wu, Chong
    Cox, Nancy J.
    Rissman, Robert A.
    Gamazon, Eric R.
    Wu, Lang
    GENOME MEDICINE, 2021, 13 (01)
  • [39] A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes
    Yanfa Sun
    Jingjing Zhu
    Dan Zhou
    Saranya Canchi
    Chong Wu
    Nancy J. Cox
    Robert A. Rissman
    Eric R. Gamazon
    Lang Wu
    Genome Medicine, 13
  • [40] Publisher Correction: Transcriptome-wide association study of coronary artery disease identifies novel susceptibility genes
    Ling Li
    Zhifen Chen
    Moritz von Scheidt
    Shuangyue Li
    Andrea Steiner
    Ulrich Güldener
    Simon Koplev
    Angela Ma
    Ke Hao
    Calvin Pan
    Aldons J. Lusis
    Shichao Pang
    Thorsten Kessler
    Raili Ermel
    Katyayani Sukhavasi
    Arno Ruusalepp
    Julien Gagneur
    Jeanette Erdmann
    Jason C. Kovacic
    Johan L. M. Björkegren
    Heribert Schunkert
    Basic Research in Cardiology, 2022, 117