Information on Genetic Variants Does Not Increase Identification of Individuals at Risk of Esophageal Adenocarcinoma Compared to Clinical Risk Factors

Andrew T. Kunzmann* (Corresponding Author), Marisa Cañadas Garre, Aaron P. Thrift, Úna C. McMenamin, Brian T. Johnston, Chris R. Cardwell, Lesley A. Anderson, Andrew D. Spence, Jesper Lagergren, Shao Hua Xie, Laura J. Smyth, Amy Jayne McKnight, Helen G. Coleman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

We previously developed a tool that identified individuals who later developed esophageal adenocarcinoma (based on age, sex, body mass index, smoking status, and prior esophageal conditions) with an area under the curve of 0.80. In this study, we collected data from 329,463 individuals in the UK Biobank cohort who were tested for genetic susceptibility to esophageal adenocarcinoma (a polygenic risk score based on 18 recognized genetic variants). We found that after inclusion of this genetic information, the area under the curve for identification of individuals who developed esophageal adenocarcinoma remained at 0.80. Testing for genetic variants associated with esophageal adenocarcinoma therefore seems unlikely to improve identification of individuals at risk of esophageal adenocarcinoma.

Original languageEnglish
Pages (from-to)43-45
Number of pages3
JournalGastroenterology
Volume156
Issue number1
Early online date18 Sept 2018
DOIs
Publication statusPublished - Jan 2019

Bibliographical note

Acknowledgments
Author contributions: Andrew T. Kunzmann: study concept and design; acquisition of data; analysis and interpretation of data; drafting of the manuscript; critical revision of the manuscript for important intellectual content; statistical analysis; obtained funding. Marissa Canadas Garre: acquisition of data; analysis and interpretation of data; statistical analysis; critical revision of the manuscript for important intellectual content. Úna C. McMenamin: acquisition of data; critical revision of the manuscript for important intellectual content. Chris R. Cardwell: acquisition of data; analysis and interpretation of data; critical revision of the manuscript for important intellectual content. Aaron P. Thrift, Brian T. Johnston, Lesley A. Anderson, Andrew D. Spence, Jesper Lagergren, Shao-Hua Xie, Laura J. Smyth, and Amy Jayne McKnight: critical revision of the manuscript for important intellectual content. Helen G. Coleman: study concept and design; acquisition of data; critical revision of the manuscript for important intellectual content; study supervision.

This research has been conducted using the UK Biobank Resource under Application Number 34374.

Keywords

  • Cancer
  • Early Detection
  • Esophagus
  • Mutation
  • Stratification

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