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. 2023 Jan 15;152(2):239-248.
doi: 10.1002/ijc.34278. Epub 2022 Oct 1.

A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk

Marco Dicanio  1 Matteo Giaccherini  1 Alyssa Clay-Gilmour  2 Angelica Macauda  3 Juan Sainz  4   5   6 Mitchell J Machiela  7 Malwina Rybicka-Ramos  8 Aaron D Norman  9   10 Agata Tyczyńska  11 Stephen J Chanock  7 Torben Barington  12 Shaji K Kumar  13 Parveen Bhatti  14   15 Wendy Cozen  16   17 Elizabeth E Brown  18 Anna Suska  19 Eva K Haastrup  12 Robert Z Orlowski  20 Marek Dudziński  21 Ramon Garcia-Sanz  22 Marcin Kruszewski  23 Joaquin Martinez-Lopez  24 Katia Beider  25 Elżbieta Iskierka-Jazdzewska  26 Matteo Pelosini  27 Sonja I Berndt  7 Małgorzata Raźny  28 Krzysztof Jamroziak  29 S Vincent Rajkumar  13 Artur Jurczyszyn  19 Annette Juul Vangsted  12 Pilar Garrido Collado  5 Ulla Vogel  30 Jonathan N Hofmann  7 Mario Petrini  31 Aleksandra Butrym  32 Susan L Slager  9 Elad Ziv  33 Edyta Subocz  34 Graham G Giles  35   36   37 Niels Frost Andersen  12 Grzegorz Mazur  38 Marzena Watek  29   39 Fabienne Lesueur  40 Michelle A T Hildebrandt  20 Daria Zawirska  41 Lene Hyldahl Ebbesen  12 Herlander Marques  42 Federica Gemignani  1 Charles Dumontet  43 Judit Várkonyi  44 Gabriele Buda  31 Arnon Nagler  25 Agnieszka Druzd-Sitek  45 Xifeng Wu  46 Katalin Kadar  44 Nicola J Camp  47 Norbert Grzasko  48 Rosalie G Waller  10 Celine Vachon  9 Federico Canzian  3 Daniele Campa  1
Affiliations

A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk

Marco Dicanio et al. Int J Cancer. .

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 noncancer 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 2434 MM cases and 3446 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 1955 MM cases and 1549 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.

Keywords: genetic susceptibility; multiple myeloma; pleiotropy; pleiotropy scan; polymorphisms.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

FIGURE 1
FIGURE 1
Forest plot of the association between DNAJB4‐rs34517439‐A and MM risk

References

    1. Kumar SK, Rajkumar V, Kyle RA, et al. Multiple myeloma. Nat Rev Dis Prim. 2017;3:17046. - PubMed
    1. Ferlay J, Colombet M, Soerjomataram I, et al. Cancer statistics for the year 2020: An overview. Int J Cancer. 2021;149(4):778‐789. - PubMed
    1. Went M, Sud A, Försti A, et al. Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma. Nat Commun. 2018;9(1):1‐10. - PMC - PubMed
    1. Swaminathan B, Thorleifsson G, Jöud M, et al. Variants in ELL2 influencing immunoglobulin levels associate with multiple myeloma. Nat Commun. 2015;6:1‐8. - PMC - PubMed
    1. Mitchell JS, Li N, Weinhold N, et al. Genome‐wide association study identifies multiple susceptibility loci for multiple myeloma. Nat Commun. 2016;7:12050. - PMC - PubMed

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