Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2023 Apr;72(4):612-623.
doi: 10.1136/gutjnl-2021-326698. Epub 2022 Jul 26.

GWAS meta-analysis of 16 790 patients with Barrett's oesophagus and oesophageal adenocarcinoma identifies 16 novel genetic risk loci and provides insights into disease aetiology beyond the single marker level

Julia Schröder #  1 Laura Chegwidden #  2 Carlo Maj #  3 Jan Gehlen  3 Jan Speller  4 Anne C Böhmer  1 Oleg Borisov  5 Timo Hess  3 Nicole Kreuser  6 Marino Venerito  7 Hakan Alakus  8 Andrea May  9 Christian Gerges  10 Thomas Schmidt  8 Rene Thieme  6 Dominik Heider  11 Axel M Hillmer  12 Julian Reingruber  3 Orestis Lyros  6 Arne Dietrich  6 Albrecht Hoffmeister  13 Matthias Mehdorn  6 Florian Lordick  14 Gertraud Stocker  14 Michael Hohaus  15 Daniel Reim  16 Jennis Kandler  17 Michaela Müller  18 Alanna Ebigbo  19 Claudia Fuchs  8 Christiane J Bruns  8 Arnulf H Hölscher  20 Hauke Lang  21 Peter P Grimminger  21 Dani Dakkak  22 Yogesh Vashist  23 Sandra May  24 Siegfried Görg  25 Andre Franke  24 David Ellinghaus  24 Sara Galavotti  2 Lothar Veits  26 Josef Weismüller  27 Jens Dommermuth  27 Udo Benner  27 Thomas Rösch  28 Helmut Messmann  19 Brigitte Schumacher  22 Horst Neuhaus  10 Carsten Schmidt  29   30 Thaddäus T Wissinowski  31 Markus M Nöthen  1 Wellcome Trust Case Control Consortium 2 (WTCCC2)Esophageal Adenocarcinoma Genetics Consortium (EAGLE)Barrett's and Esophageal Adenocarcinoma Consortium (BEACON)Jing Dong  32 Jue-Sheng Ong  33 Matthew F Buas  34 Aaron P Thrift  35 Thomas L Vaughan  36 Ian Tomlinson  37 David C Whiteman  38 Rebecca Claire Fitzgerald  39 Janusz Jankowski  40 Michael Vieth  26 Andreas Mayr  4 Puya Gharahkhani  33 Stuart MacGregor  33 Ines Gockel #  6 Claire Palles #  2 Johannes Schumacher #  41
Collaborators, Affiliations
Meta-Analysis

GWAS meta-analysis of 16 790 patients with Barrett's oesophagus and oesophageal adenocarcinoma identifies 16 novel genetic risk loci and provides insights into disease aetiology beyond the single marker level

Julia Schröder et al. Gut. 2023 Apr.

Abstract

Objective: Oesophageal cancer (EC) is the sixth leading cause of cancer-related deaths. Oesophageal adenocarcinoma (EA), with Barrett's oesophagus (BE) as a precursor lesion, is the most prevalent EC subtype in the Western world. This study aims to contribute to better understand the genetic causes of BE/EA by leveraging genome wide association studies (GWAS), genetic correlation analyses and polygenic risk modelling.

Design: We combined data from previous GWAS with new cohorts, increasing the sample size to 16 790 BE/EA cases and 32 476 controls. We also carried out a transcriptome wide association study (TWAS) using expression data from disease-relevant tissues to identify BE/EA candidate genes. To investigate the relationship with reported BE/EA risk factors, a linkage disequilibrium score regression (LDSR) analysis was performed. BE/EA risk models were developed combining clinical/lifestyle risk factors with polygenic risk scores (PRS) derived from the GWAS meta-analysis.

Results: The GWAS meta-analysis identified 27 BE and/or EA risk loci, 11 of which were novel. The TWAS identified promising BE/EA candidate genes at seven GWAS loci and at five additional risk loci. The LDSR analysis led to the identification of novel genetic correlations and pointed to differences in BE and EA aetiology. Gastro-oesophageal reflux disease appeared to contribute stronger to the metaplastic BE transformation than to EA development. Finally, combining PRS with BE/EA risk factors improved the performance of the risk models.

Conclusion: Our findings provide further insights into BE/EA aetiology and its relationship to risk factors. The results lay the foundation for future follow-up studies to identify underlying disease mechanisms and improving risk prediction.

Keywords: BARRETT'S OESOPHAGUS; CANCER GENETICS; GENOTYPE; OESOPHAGEAL CANCER.

PubMed Disclaimer

Conflict of interest statement

Competing interests: None declared.

Publication types

MeSH terms

Supplementary concepts

LinkOut - more resources