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Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms.

Authors :
Emami, Nima C.
Kachuri, Linda
Meyers, Travis J.
Das, Rajdeep
Hoffman, Joshua D.
Hoffmann, Thomas J.
Hu, Donglei
Shan, Jun
Feng, Felix Y.
Ziv, Elad
Van Den Eeden, Stephen K.
Witte, John S.
Source :
Nature Communications; 7/15/2019, Vol. 10 Issue 1, pN.PAG-N.PAG, 1p
Publication Year :
2019

Abstract

Here we train cis-regulatory models of prostate tissue gene expression and impute expression transcriptome-wide for 233,955 European ancestry men (14,616 prostate cancer (PrCa) cases, 219,339 controls) from two large cohorts. Among 12,014 genes evaluated in the UK Biobank, we identify 38 associated with PrCa, many replicating in the Kaiser Permanente RPGEH. We report the association of elevated TMPRSS2 expression with increased PrCa risk (independent of a previously-reported risk variant) and with increased tumoral expression of the TMPRSS2:ERG fusion-oncogene in The Cancer Genome Atlas, suggesting a novel germline-somatic interaction mechanism. Three novel genes, HOXA4, KLK1, and TIMM23, additionally replicate in the RPGEH cohort. Furthermore, 4 genes, MSMB, NCOA4, PCAT1, and PPP1R14A, are associated with PrCa in a trans-ethnic meta-analysis (N = 9117). Many genes exhibit evidence for allele-specific transcriptional activation by PrCa master-regulators (including androgen receptor) in Position Weight Matrix, Chip-Seq, and Hi-C experimental data, suggesting common regulatory mechanisms for the associated genes. In prostate cancer, investigating aberrant gene expression may shed light on disease etiology. Here, the authors imputed expression transcriptome-wide for 233,955 European ancestry men, discovering and replicating the associations between prostatic expression for select genes and prostate cancer risk, including the highly prevalent gene fusion partner TMPRSS2. The authors furthermore integrate diverse functional genomic datasets to interpret the epigenetic mechanisms by which the implicated risk variants and genes modulate disease risk. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
10
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
137490305
Full Text :
https://doi.org/10.1038/s41467-019-10808-7