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Association of Genetic Variants Affecting microRNAs and Pancreatic Cancer Risk.

Authors :
Lu Y
Corradi C
Gentiluomo M
López de Maturana E
Theodoropoulos GE
Roth S
Maiello E
Morelli L
Archibugi L
Izbicki JR
Sarlós P
Kiudelis V
Oliverius M
Aoki MN
Vashist Y
van Eijck CHJ
Gazouli M
Talar-Wojnarowska R
Mambrini A
Pezzilli R
Bueno-de-Mesquita B
Hegyi P
Souček P
Neoptolemos JP
Di Franco G
Sperti C
Kauffmann EF
Hlaváč V
Uzunoğlu FG
Ermini S
Małecka-Panas E
Lucchesi M
Vanella G
Dijk F
Mohelníková-Duchoňová B
Bambi F
Petrone MC
Jamroziak K
Guo F
Kolarova K
Capretti G
Milanetto AC
Ginocchi L
Loveček M
Puzzono M
van Laarhoven HWM
Carrara S
Ivanauskas A
Papiris K
Basso D
Arcidiacono PG
Izbéki F
Chammas R
Vodicka P
Hackert T
Pasquali C
Piredda ML
Costello-Goldring E
Cavestro GM
Szentesi A
Tavano F
Włodarczyk B
Brenner H
Kreivenaite E
Gao X
Bunduc S
Vermeulen RCH
Schneider MA
Latiano A
Gioffreda D
Testoni SGG
Kupcinskas J
Lawlor RT
Capurso G
Malats N
Campa D
Canzian F
Source :
Frontiers in genetics [Front Genet] 2021 Aug 30; Vol. 12, pp. 693933. Date of Electronic Publication: 2021 Aug 30 (Print Publication: 2021).
Publication Year :
2021

Abstract

Genetic factors play an important role in the susceptibility to pancreatic cancer (PC). However, established loci explain a small proportion of genetic heritability for PC; therefore, more progress is needed to find the missing ones. We aimed at identifying single nucleotide polymorphisms (SNPs) affecting PC risk through effects on micro-RNA (miRNA) function. We searched in silico the genome for SNPs in miRNA seed sequences or 3 prime untranslated regions (3'UTRs) of miRNA target genes. Genome-wide association data of PC cases and controls from the Pancreatic Cancer Cohort (PanScan) Consortium and the Pancreatic Cancer Case-Control (PanC4) Consortium were re-analyzed for discovery, and genotyping data from two additional consortia (PanGenEU and PANDoRA) were used for replication, for a total of 14,062 cases and 11,261 controls. None of the SNPs reached genome-wide significance in the meta-analysis, but for three of them the associations were in the same direction in all the study populations and showed lower value of p in the meta-analyses than in the discovery phase. Specifically, rs7985480 was consistently associated with PC risk (OR = 1.12, 95% CI 1.07-1.17, p = 3.03 × 10 <superscript>-6</superscript> in the meta-analysis). This SNP is in linkage disequilibrium (LD) with rs2274048, which modulates binding of various miRNAs to the 3'UTR of UCHL3 , a gene involved in PC progression. In conclusion, our results expand the knowledge of the genetic PC risk through miRNA-related SNPs and show the usefulness of functional prioritization to identify genetic polymorphisms associated with PC risk.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2021 Lu, Corradi, Gentiluomo, López de Maturana, Theodoropoulos, Roth, Maiello, Morelli, Archibugi, Izbicki, Sarlós, Kiudelis, Oliverius, Aoki, Vashist, van Eijck, Gazouli, Talar-Wojnarowska, Mambrini, Pezzilli, Bueno-de-Mesquita, Hegyi, Souček, Neoptolemos, Di Franco, Sperti, Kauffmann, Hlaváč, Uzunoğlu, Ermini, Małecka-Panas, Lucchesi, Vanella, Dijk, Mohelníková-Duchoňová, Bambi, Petrone, Jamroziak, Guo, Kolarova, Capretti, Milanetto, Ginocchi, Loveček, Puzzono, van Laarhoven, Carrara, Ivanauskas, Papiris, Basso, Arcidiacono, Izbéki, Chammas, Vodicka, Hackert, Pasquali, Piredda, Costello-Goldring, Cavestro, Szentesi, Tavano, Włodarczyk, Brenner, Kreivenaite, Gao, Bunduc, Vermeulen, Schneider, Latiano, Gioffreda, Testoni, Kupcinskas, Lawlor, Capurso, Malats, Campa and Canzian.)

Details

Language :
English
ISSN :
1664-8021
Volume :
12
Database :
MEDLINE
Journal :
Frontiers in genetics
Publication Type :
Academic Journal
Accession number :
34527018
Full Text :
https://doi.org/10.3389/fgene.2021.693933