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

Went, Molly ; Kinnersley, Ben ; Sud, Amit ; Johnson, David C ; Weinhold, Niels ; Försti, Asta LU ; van Duin, Mark ; Orlando, Giulia ; Mitchell, Jonathan S and Kuiper, Rowan , et al. (2019) In Human Genomics 13(1).
Abstract
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... (More)
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. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Human Genomics
volume
13
issue
1
article number
37
publisher
BioMed Central (BMC)
external identifiers
  • scopus:85071458315
  • pmid:31429796
ISSN
1479-7364
DOI
10.1186/s40246-019-0231-5
language
English
LU publication?
yes
id
67cc4652-a39b-43df-9b49-857ec014e6a9
date added to LUP
2019-08-26 08:17:25
date last changed
2024-03-16 02:53:26
@article{67cc4652-a39b-43df-9b49-857ec014e6a9,
  abstract     = {{Background<br/><br/>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).<br/>Results<br/><br/>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.<br/>Conclusions<br/><br/>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.}},
  author       = {{Went, Molly and Kinnersley, Ben and Sud, Amit and Johnson, David C and Weinhold, Niels and Försti, Asta and van Duin, Mark and Orlando, Giulia and Mitchell, Jonathan S and Kuiper, Rowan and Walker, Brian A. and Gregory, Walter M. and Hoffmann, Per and Jackson, Graham H. and Nöthen, Markus M and Inacio da Silva Filho, Miguel and Thomsen, Hauke and Broyl, Annemiek and Davies, Faith E. and Thorsteinsdottir, Unnur and Hansson, Markus and Kaiser, Martin and Sonneveld, Pieter and Goldschmidt, Hartmut and Stefansson, Kari and Hemminki, Kari and Nilsson, Björn and Morgan, Gareth J. and Houlston, Richard S.}},
  issn         = {{1479-7364}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{Human Genomics}},
  title        = {{Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes}},
  url          = {{http://dx.doi.org/10.1186/s40246-019-0231-5}},
  doi          = {{10.1186/s40246-019-0231-5}},
  volume       = {{13}},
  year         = {{2019}},
}