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

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...

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Autores principales: Went, Molly, Kinnersley, Ben, Sud, Amit, Johnson, David C., Weinhold, Niels, Försti, Asta, van Duin, Mark, Orlando, Giulia, Mitchell, Jonathan S., Kuiper, Rowan, Walker, Brian A., Gregory, Walter M., Hoffmann, Per, Jackson, Graham H., Nöthen, Markus M., da Silva Filho, Miguel Inacio, Thomsen, Hauke, Broyl, Annemiek, Davies, Faith E., Thorsteinsdottir, Unnur, Hansson, Markus, Kaiser, Martin, Sonneveld, Pieter, Goldschmidt, Hartmut, Stefansson, Kari, Hemminki, Kari, Nilsson, Björn, Morgan, Gareth J., Houlston, Richard S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700979/
https://www.ncbi.nlm.nih.gov/pubmed/31429796
http://dx.doi.org/10.1186/s40246-019-0231-5
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author Went, Molly
Kinnersley, Ben
Sud, Amit
Johnson, David C.
Weinhold, Niels
Försti, Asta
van Duin, Mark
Orlando, Giulia
Mitchell, Jonathan S.
Kuiper, Rowan
Walker, Brian A.
Gregory, Walter M.
Hoffmann, Per
Jackson, Graham H.
Nöthen, Markus M.
da Silva Filho, Miguel Inacio
Thomsen, Hauke
Broyl, Annemiek
Davies, Faith E.
Thorsteinsdottir, Unnur
Hansson, Markus
Kaiser, Martin
Sonneveld, Pieter
Goldschmidt, Hartmut
Stefansson, Kari
Hemminki, Kari
Nilsson, Björn
Morgan, Gareth J.
Houlston, Richard S.
author_facet Went, Molly
Kinnersley, Ben
Sud, Amit
Johnson, David C.
Weinhold, Niels
Försti, Asta
van Duin, Mark
Orlando, Giulia
Mitchell, Jonathan S.
Kuiper, Rowan
Walker, Brian A.
Gregory, Walter M.
Hoffmann, Per
Jackson, Graham H.
Nöthen, Markus M.
da Silva Filho, Miguel Inacio
Thomsen, Hauke
Broyl, Annemiek
Davies, Faith E.
Thorsteinsdottir, Unnur
Hansson, Markus
Kaiser, Martin
Sonneveld, Pieter
Goldschmidt, Hartmut
Stefansson, Kari
Hemminki, Kari
Nilsson, Björn
Morgan, Gareth J.
Houlston, Richard S.
author_sort Went, Molly
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40246-019-0231-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-67009792019-08-26 Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes Went, Molly Kinnersley, Ben Sud, Amit Johnson, David C. Weinhold, Niels Försti, Asta van Duin, Mark Orlando, Giulia Mitchell, Jonathan S. Kuiper, Rowan Walker, Brian A. Gregory, Walter M. Hoffmann, Per Jackson, Graham H. Nöthen, Markus M. da Silva Filho, Miguel Inacio Thomsen, Hauke Broyl, Annemiek Davies, Faith E. Thorsteinsdottir, Unnur Hansson, Markus Kaiser, Martin Sonneveld, Pieter Goldschmidt, Hartmut Stefansson, Kari Hemminki, Kari Nilsson, Björn Morgan, Gareth J. Houlston, Richard S. Hum Genomics Primary Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40246-019-0231-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-20 /pmc/articles/PMC6700979/ /pubmed/31429796 http://dx.doi.org/10.1186/s40246-019-0231-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Primary Research
Went, Molly
Kinnersley, Ben
Sud, Amit
Johnson, David C.
Weinhold, Niels
Försti, Asta
van Duin, Mark
Orlando, Giulia
Mitchell, Jonathan S.
Kuiper, Rowan
Walker, Brian A.
Gregory, Walter M.
Hoffmann, Per
Jackson, Graham H.
Nöthen, Markus M.
da Silva Filho, Miguel Inacio
Thomsen, Hauke
Broyl, Annemiek
Davies, Faith E.
Thorsteinsdottir, Unnur
Hansson, Markus
Kaiser, Martin
Sonneveld, Pieter
Goldschmidt, Hartmut
Stefansson, Kari
Hemminki, Kari
Nilsson, Björn
Morgan, Gareth J.
Houlston, Richard S.
Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes
title Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes
title_full Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes
title_fullStr Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes
title_full_unstemmed Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes
title_short Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes
title_sort transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700979/
https://www.ncbi.nlm.nih.gov/pubmed/31429796
http://dx.doi.org/10.1186/s40246-019-0231-5
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