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Transcriptome-wide association study and Mendelian randomization in pancreatic cancer identifies susceptibility genes and causal relationships with type 2 diabetes and venous thromboembolismResearch in context

Authors :
Marcus C.B. Tan
Chelsea A. Isom
Yangzi Liu
David-Alexandre Trégouët
Lang Wu
Dan Zhou
Eric R. Gamazon
Sara Lindstrom
Lu Wang
Erin Smith
William Gordon
Astrid Van Hylckama Vlieg
Mariza De Andrade
Jennifer Brody
Jack Pattee
Jeffrey Haessler
Ben Brumpton
Daniel Chasman
Pierre Suchon
Ming-Huei Chen
Constance Turman
Marine Germain
Kerri Wiggins
James MacDonald
Sigrid Braekkan
Sebastian Armasu
Nathan Pankratz
Rabecca Jackson
Jonas Nielsen
Franco Giulianini
Marja Puurunen
Manal Ibrahim
Susan Heckbert
Theo Bammler
Kelly Frazer
Bryan McCauley
Kent Taylor
James Pankow
Alexander Reiner
Maiken Gabrielsen
Jean-François Deleuze
Chris O'Donnell
Jihye Kim
Barbara McKnight
Peter Kraft
John-Bjarne Hansen
Frits Rosendaal
John Heit
Bruce Psaty
Weihong Tang
Charles Kooperberg
Kristian Hveem
Paul Ridker
Pierre-Emmanuel Morange
Andrew Johnson
Christopher Kabrhel
Nicholas Smith
Source :
EBioMedicine, Vol 106, Iss , Pp 105233- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Summary: Background: Two important questions regarding the genetics of pancreatic adenocarcinoma (PDAC) are 1. Which germline genetic variants influence the incidence of this cancer; and 2. Whether PDAC causally predisposes to associated non-malignant phenotypes, such as type 2 diabetes (T2D) and venous thromboembolism (VTE). Methods: In this study of 8803 patients with PDAC and 67,523 controls, we first performed a large-scale transcriptome-wide association study to investigate the association between genetically determined gene expression in normal pancreas tissue and PDAC risk. Secondly, we used Mendelian Randomization (MR) to analyse the causal relationships among PDAC, T2D (74,124 cases and 824,006 controls) and VTE (30,234 cases and 172,122 controls). Findings: Sixteen genes showed an association with PDAC risk (FDR

Details

Language :
English
ISSN :
23523964
Volume :
106
Issue :
105233-
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.3420f9e9c9f34b658ac5d3b0471a4072
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2024.105233