Cargando…
Assessing the clinical utility of genetic risk scores for targeted cancer screening
BACKGROUND: Genome-wide association studies have identified thousands of disease-associated single nucleotide polymorphisms (SNPs). A subset of these SNPs may be additively combined to generate genetic risk scores (GRSs) that confer risk for a specific disease. Although the clinical validity of GRSs...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821544/ https://www.ncbi.nlm.nih.gov/pubmed/33482857 http://dx.doi.org/10.1186/s12967-020-02699-w |
_version_ | 1783639444813774848 |
---|---|
author | Conran, Carly A. Shi, Zhuqing Resurreccion, William Kyle Na, Rong Helfand, Brian T. Genova, Elena Zheng, Siqun Lilly Brendler, Charles B. Xu, Jianfeng |
author_facet | Conran, Carly A. Shi, Zhuqing Resurreccion, William Kyle Na, Rong Helfand, Brian T. Genova, Elena Zheng, Siqun Lilly Brendler, Charles B. Xu, Jianfeng |
author_sort | Conran, Carly A. |
collection | PubMed |
description | BACKGROUND: Genome-wide association studies have identified thousands of disease-associated single nucleotide polymorphisms (SNPs). A subset of these SNPs may be additively combined to generate genetic risk scores (GRSs) that confer risk for a specific disease. Although the clinical validity of GRSs to predict risk of specific diseases has been well established, there is still a great need to determine their clinical utility by applying GRSs in primary care for cancer risk assessment and targeted intervention. METHODS: This clinical study involved 281 primary care patients without a personal history of breast, prostate or colorectal cancer who were 40–70 years old. DNA was obtained from a pre-existing biobank at NorthShore University HealthSystem. GRSs for colorectal cancer and breast or prostate cancer were calculated and shared with participants through their primary care provider. Additional data was gathered using questionnaires as well as electronic medical record information. A t-test or Chi-square test was applied for comparison of demographic and key clinical variables among different groups. RESULTS: The median age of the 281 participants was 58 years and the majority were female (66.6%). One hundred one (36.9%) participants received 2 low risk scores, 99 (35.2%) received 1 low risk and 1 average risk score, 37 (13.2%) received 1 low risk and 1 high risk score, 23 (8.2%) received 2 average risk scores, 21 (7.5%) received 1 average risk and 1 high risk score, and no one received 2 high risk scores. Before receiving GRSs, younger patients and women reported significantly more worry about risk of developing cancer. After receiving GRSs, those who received at least one high GRS reported significantly more worry about developing cancer. There were no significant differences found between gender, age, or GRS with regards to participants’ reported optimism about their future health neither before nor after receiving GRS results. CONCLUSIONS: Genetic risk scores that quantify an individual’s risk of developing breast, prostate and colorectal cancers as compared with a race-defined population average risk have potential clinical utility as a tool for risk stratification and to guide cancer screening in a primary care setting. |
format | Online Article Text |
id | pubmed-7821544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78215442021-01-25 Assessing the clinical utility of genetic risk scores for targeted cancer screening Conran, Carly A. Shi, Zhuqing Resurreccion, William Kyle Na, Rong Helfand, Brian T. Genova, Elena Zheng, Siqun Lilly Brendler, Charles B. Xu, Jianfeng J Transl Med Research BACKGROUND: Genome-wide association studies have identified thousands of disease-associated single nucleotide polymorphisms (SNPs). A subset of these SNPs may be additively combined to generate genetic risk scores (GRSs) that confer risk for a specific disease. Although the clinical validity of GRSs to predict risk of specific diseases has been well established, there is still a great need to determine their clinical utility by applying GRSs in primary care for cancer risk assessment and targeted intervention. METHODS: This clinical study involved 281 primary care patients without a personal history of breast, prostate or colorectal cancer who were 40–70 years old. DNA was obtained from a pre-existing biobank at NorthShore University HealthSystem. GRSs for colorectal cancer and breast or prostate cancer were calculated and shared with participants through their primary care provider. Additional data was gathered using questionnaires as well as electronic medical record information. A t-test or Chi-square test was applied for comparison of demographic and key clinical variables among different groups. RESULTS: The median age of the 281 participants was 58 years and the majority were female (66.6%). One hundred one (36.9%) participants received 2 low risk scores, 99 (35.2%) received 1 low risk and 1 average risk score, 37 (13.2%) received 1 low risk and 1 high risk score, 23 (8.2%) received 2 average risk scores, 21 (7.5%) received 1 average risk and 1 high risk score, and no one received 2 high risk scores. Before receiving GRSs, younger patients and women reported significantly more worry about risk of developing cancer. After receiving GRSs, those who received at least one high GRS reported significantly more worry about developing cancer. There were no significant differences found between gender, age, or GRS with regards to participants’ reported optimism about their future health neither before nor after receiving GRS results. CONCLUSIONS: Genetic risk scores that quantify an individual’s risk of developing breast, prostate and colorectal cancers as compared with a race-defined population average risk have potential clinical utility as a tool for risk stratification and to guide cancer screening in a primary care setting. BioMed Central 2021-01-22 /pmc/articles/PMC7821544/ /pubmed/33482857 http://dx.doi.org/10.1186/s12967-020-02699-w Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Conran, Carly A. Shi, Zhuqing Resurreccion, William Kyle Na, Rong Helfand, Brian T. Genova, Elena Zheng, Siqun Lilly Brendler, Charles B. Xu, Jianfeng Assessing the clinical utility of genetic risk scores for targeted cancer screening |
title | Assessing the clinical utility of genetic risk scores for targeted cancer screening |
title_full | Assessing the clinical utility of genetic risk scores for targeted cancer screening |
title_fullStr | Assessing the clinical utility of genetic risk scores for targeted cancer screening |
title_full_unstemmed | Assessing the clinical utility of genetic risk scores for targeted cancer screening |
title_short | Assessing the clinical utility of genetic risk scores for targeted cancer screening |
title_sort | assessing the clinical utility of genetic risk scores for targeted cancer screening |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821544/ https://www.ncbi.nlm.nih.gov/pubmed/33482857 http://dx.doi.org/10.1186/s12967-020-02699-w |
work_keys_str_mv | AT conrancarlya assessingtheclinicalutilityofgeneticriskscoresfortargetedcancerscreening AT shizhuqing assessingtheclinicalutilityofgeneticriskscoresfortargetedcancerscreening AT resurreccionwilliamkyle assessingtheclinicalutilityofgeneticriskscoresfortargetedcancerscreening AT narong assessingtheclinicalutilityofgeneticriskscoresfortargetedcancerscreening AT helfandbriant assessingtheclinicalutilityofgeneticriskscoresfortargetedcancerscreening AT genovaelena assessingtheclinicalutilityofgeneticriskscoresfortargetedcancerscreening AT zhengsiqunlilly assessingtheclinicalutilityofgeneticriskscoresfortargetedcancerscreening AT brendlercharlesb assessingtheclinicalutilityofgeneticriskscoresfortargetedcancerscreening AT xujianfeng assessingtheclinicalutilityofgeneticriskscoresfortargetedcancerscreening |