Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783444973406912512 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6700979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wentmolly transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT kinnersleyben transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT sudamit transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT johnsondavidc transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT weinholdniels transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT forstiasta transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT vanduinmark transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT orlandogiulia transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT mitchelljonathans transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT kuiperrowan transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT walkerbriana transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT gregorywalterm transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT hoffmannper transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT jacksongrahamh transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT nothenmarkusm transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT dasilvafilhomiguelinacio transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT thomsenhauke transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT broylannemiek transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT daviesfaithe transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT thorsteinsdottirunnur transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT hanssonmarkus transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT kaisermartin transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT sonneveldpieter transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT goldschmidthartmut transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT stefanssonkari transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT hemminkikari transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT nilssonbjorn transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT morgangarethj transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes AT houlstonrichards transcriptomewideassociationstudyofmultiplemyelomaidentifiescandidatesusceptibilitygenes |