Int J Cancer. 2022 Sep 8. doi: 10.1002/ijc.34278. Online ahead of print.
ABSTRACT
Pleiotropy, which consists of a single gene or allelic variant affecting multiple unrelated traits, is common across cancers, with evidence for genome-wide significant loci shared across cancer and non-cancer traits. This feature is particularly relevant in multiple myeloma (MM) because several susceptibility loci that have been identified to date are pleiotropic. Therefore, the aim of this study was to identify novel pleiotropic variants involved in MM risk using 28,684 independent single nucleotide polymorphisms (SNPs) from GWAS Catalog that reached a significant association (P<5×10-8 ) with their respective trait. The selected SNPs were analyzed in 2,434 MM cases and 3,446 controls from the International Lymphoma Epidemiology Consortium (InterLymph). The 10 SNPs showing the strongest associations with MM risk in InterLymph were selected for replication in an independent set of 1,955 MM cases and 1,549 controls from the International Multiple Myeloma rESEarch (IMMEnSE) consortium and 418 MM cases and 147,282 controls from the FinnGen project. The combined analysis of the three studies identified an association between DNAJB4-rs34517439-A and an increased risk of developing MM (OR=1.22, 95%CI 1.13-1.32, P=4.81×10-7 ). rs34517439-A is associated with a modified expression of the FUBP1 gene, which encodes a multifunctional DNA and RNA-binding protein that it was observed to influence the regulation of various genes involved in cell cycle regulation, among which various oncogenes and oncosuppressors. In conclusion, with a pleiotropic scan approach we identified DNAJB4-rs34517439 as a potentially novel MM risk locus. This article is protected by copyright. All rights reserved.
PMID:36082445 | DOI:10.1002/ijc.34278
