Cargando…

Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors

PURPOSE: This study investigated the utility of modeling modifiable lifestyle risk factors in addition to genetic variation in colorectal cancer (CRC) screening/prevention. METHODS: We derived a polygenic risk score for CRC susceptibility variants in combination with the established nongenetic risk...

Descripción completa

Detalles Bibliográficos
Autores principales: Frampton, Matthew, Houlston, Richard S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133376/
https://www.ncbi.nlm.nih.gov/pubmed/27490113
http://dx.doi.org/10.1038/gim.2016.101
_version_ 1782471249768742912
author Frampton, Matthew
Houlston, Richard S.
author_facet Frampton, Matthew
Houlston, Richard S.
author_sort Frampton, Matthew
collection PubMed
description PURPOSE: This study investigated the utility of modeling modifiable lifestyle risk factors in addition to genetic variation in colorectal cancer (CRC) screening/prevention. METHODS: We derived a polygenic risk score for CRC susceptibility variants in combination with the established nongenetic risk factors of inflammatory bowel disease (IBD), adiposity, alcohol, red meat, fruit, vegetables, smoking, physical activity, and aspirin. We used the 37 known risk variants and 50 and 100% of all risk variants as calculated from a heritability estimate. We derived absolute risk from UK population age structure, incidence, and mortality rate data. RESULTS: Taking into account all risk factors (known variants), 42.2% of 55- to 59-year-old men with CRC have a risk at least as high as that of an average 60-year-old, the minimum eligible age for the UK NHS National Bowel Cancer Screening Program. If the male population is stratified by known variants and IBD status, then risk-difference estimates imply that for 10,000 50-year-old men in the 99th percentile, 760 cases could be prevented over a 25-year period through the modifiable risk factors, but in the lowest percentile, only 90 could be prevented. CONCLUSION: CRC screening and prevention centered on modifiable risk factors could be optimized if targeted at individuals at higher polygenic risk. Genet Med 19 3, 314–321.
format Online
Article
Text
id pubmed-5133376
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-51333762017-03-17 Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors Frampton, Matthew Houlston, Richard S. Genet Med Original Research Article PURPOSE: This study investigated the utility of modeling modifiable lifestyle risk factors in addition to genetic variation in colorectal cancer (CRC) screening/prevention. METHODS: We derived a polygenic risk score for CRC susceptibility variants in combination with the established nongenetic risk factors of inflammatory bowel disease (IBD), adiposity, alcohol, red meat, fruit, vegetables, smoking, physical activity, and aspirin. We used the 37 known risk variants and 50 and 100% of all risk variants as calculated from a heritability estimate. We derived absolute risk from UK population age structure, incidence, and mortality rate data. RESULTS: Taking into account all risk factors (known variants), 42.2% of 55- to 59-year-old men with CRC have a risk at least as high as that of an average 60-year-old, the minimum eligible age for the UK NHS National Bowel Cancer Screening Program. If the male population is stratified by known variants and IBD status, then risk-difference estimates imply that for 10,000 50-year-old men in the 99th percentile, 760 cases could be prevented over a 25-year period through the modifiable risk factors, but in the lowest percentile, only 90 could be prevented. CONCLUSION: CRC screening and prevention centered on modifiable risk factors could be optimized if targeted at individuals at higher polygenic risk. Genet Med 19 3, 314–321. Nature Publishing Group 2017-03 2016-08-04 /pmc/articles/PMC5133376/ /pubmed/27490113 http://dx.doi.org/10.1038/gim.2016.101 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Original Research Article
Frampton, Matthew
Houlston, Richard S.
Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors
title Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors
title_full Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors
title_fullStr Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors
title_full_unstemmed Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors
title_short Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors
title_sort modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133376/
https://www.ncbi.nlm.nih.gov/pubmed/27490113
http://dx.doi.org/10.1038/gim.2016.101
work_keys_str_mv AT framptonmatthew modelingthepreventionofcolorectalcancerfromthecombinedimpactofhostandbehavioralriskfactors
AT houlstonrichards modelingthepreventionofcolorectalcancerfromthecombinedimpactofhostandbehavioralriskfactors