TY - JOUR
T1 - Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes
AU - Went, Molly
AU - Kinnersley, Ben
AU - Sud, Amit
AU - Johnson, David C.
AU - Weinhold, Niels
AU - Försti, Asta
AU - van Duin, Mark
AU - Orlando, Giulia
AU - Mitchell, Jonathan S.
AU - Kuiper, Rowan
AU - Walker, Brian A.
AU - Gregory, Walter M.
AU - Hoffmann, Per
AU - Jackson, Graham H.
AU - Nöthen, Markus M.
AU - da Silva Filho, Miguel Inacio
AU - Thomsen, Hauke
AU - Broyl, Annemiek
AU - Davies, Faith E.
AU - Thorsteinsdottir, Unnur
AU - Hansson, Markus
AU - Kaiser, Martin
AU - Sonneveld, Pieter
AU - Goldschmidt, Hartmut
AU - Stefansson, Kari
AU - Hemminki, Kari
AU - Nilsson, Björn
AU - Morgan, Gareth J.
AU - Houlston, Richard S.
PY - 2019/8/20
Y1 - 2019/8/20
N2 - 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.
AB - 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.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85071458315&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/31429796
U2 - https://doi.org/10.1186/s40246-019-0231-5
DO - https://doi.org/10.1186/s40246-019-0231-5
M3 - Article
C2 - 31429796
SN - 1473-9542
VL - 13
SP - 37
JO - Human genomics
JF - Human genomics
IS - 1
ER -