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Risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of East Asian and European populations

BACKGROUND: The genetic architectures of colorectal cancer are distinct across different populations. To date, the majority of polygenic risk scores (PRSs) are derived from European (EUR) populations, which limits their accurate extrapolation to other populations. Here, we aimed to generate a PRS by...

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Autores principales: Xin, Junyi, Du, Mulong, Gu, Dongying, Jiang, Kewei, Wang, Mengyun, Jin, Mingjuan, Hu, Yeting, Ben, Shuai, Chen, Silu, Shao, Wei, Li, Shuwei, Chu, Haiyan, Zhu, Linjun, Li, Chen, Chen, Kun, Ding, Kefeng, Zhang, Zhengdong, Shen, Hongbing, Wang, Meilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875451/
https://www.ncbi.nlm.nih.gov/pubmed/36694225
http://dx.doi.org/10.1186/s13073-023-01156-9
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author Xin, Junyi
Du, Mulong
Gu, Dongying
Jiang, Kewei
Wang, Mengyun
Jin, Mingjuan
Hu, Yeting
Ben, Shuai
Chen, Silu
Shao, Wei
Li, Shuwei
Chu, Haiyan
Zhu, Linjun
Li, Chen
Chen, Kun
Ding, Kefeng
Zhang, Zhengdong
Shen, Hongbing
Wang, Meilin
author_facet Xin, Junyi
Du, Mulong
Gu, Dongying
Jiang, Kewei
Wang, Mengyun
Jin, Mingjuan
Hu, Yeting
Ben, Shuai
Chen, Silu
Shao, Wei
Li, Shuwei
Chu, Haiyan
Zhu, Linjun
Li, Chen
Chen, Kun
Ding, Kefeng
Zhang, Zhengdong
Shen, Hongbing
Wang, Meilin
author_sort Xin, Junyi
collection PubMed
description BACKGROUND: The genetic architectures of colorectal cancer are distinct across different populations. To date, the majority of polygenic risk scores (PRSs) are derived from European (EUR) populations, which limits their accurate extrapolation to other populations. Here, we aimed to generate a PRS by incorporating East Asian (EAS) and EUR ancestry groups and validate its utility for colorectal cancer risk assessment among different populations. METHODS: A large-scale colorectal cancer genome-wide association study (GWAS), harboring 35,145 cases and 288,934 controls from EAS and EUR populations, was used for the EAS-EUR GWAS meta-analysis and the construction of candidate EAS-EUR PRSs via different approaches. The performance of each PRS was then validated in external GWAS datasets of EAS (727 cases and 1452 controls) and EUR (1289 cases and 1284 controls) ancestries, respectively. The optimal PRS was further tested using the UK Biobank longitudinal cohort of 355,543 individuals and ultimately applied to stratify individual risk attached by healthy lifestyle. RESULTS: In the meta-analysis across EAS and EUR populations, we identified 48 independent variants beyond genome-wide significance (P < 5 × 10(−8)) at previously reported loci. Among 26 candidate EAS-EUR PRSs, the PRS-CSx approach-derived PRS (defined as PRS(CSx)) that harbored genome-wide variants achieved the optimal discriminatory ability in both validation datasets, as well as better performance in the EAS population compared to the PRS derived from known variants. Using the UK Biobank cohort, we further validated a significant dose-response effect of PRS(CSx) on incident colorectal cancer, in which the risk was 2.11- and 3.88-fold higher in individuals with intermediate and high PRS(CSx) than in the low score subgroup (P(trend) = 8.15 × 10(−53)). Notably, the detrimental effect of being at a high genetic risk could be largely attenuated by adherence to a favorable lifestyle, with a 0.53% reduction in 5-year absolute risk. CONCLUSIONS: In summary, we systemically constructed an EAS-EUR PRS to effectively stratify colorectal cancer risk, which highlighted its clinical implication among diverse ancestries. Importantly, these findings also supported that a healthy lifestyle could reduce the genetic impact on incident colorectal cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01156-9.
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spelling pubmed-98754512023-01-26 Risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of East Asian and European populations Xin, Junyi Du, Mulong Gu, Dongying Jiang, Kewei Wang, Mengyun Jin, Mingjuan Hu, Yeting Ben, Shuai Chen, Silu Shao, Wei Li, Shuwei Chu, Haiyan Zhu, Linjun Li, Chen Chen, Kun Ding, Kefeng Zhang, Zhengdong Shen, Hongbing Wang, Meilin Genome Med Research BACKGROUND: The genetic architectures of colorectal cancer are distinct across different populations. To date, the majority of polygenic risk scores (PRSs) are derived from European (EUR) populations, which limits their accurate extrapolation to other populations. Here, we aimed to generate a PRS by incorporating East Asian (EAS) and EUR ancestry groups and validate its utility for colorectal cancer risk assessment among different populations. METHODS: A large-scale colorectal cancer genome-wide association study (GWAS), harboring 35,145 cases and 288,934 controls from EAS and EUR populations, was used for the EAS-EUR GWAS meta-analysis and the construction of candidate EAS-EUR PRSs via different approaches. The performance of each PRS was then validated in external GWAS datasets of EAS (727 cases and 1452 controls) and EUR (1289 cases and 1284 controls) ancestries, respectively. The optimal PRS was further tested using the UK Biobank longitudinal cohort of 355,543 individuals and ultimately applied to stratify individual risk attached by healthy lifestyle. RESULTS: In the meta-analysis across EAS and EUR populations, we identified 48 independent variants beyond genome-wide significance (P < 5 × 10(−8)) at previously reported loci. Among 26 candidate EAS-EUR PRSs, the PRS-CSx approach-derived PRS (defined as PRS(CSx)) that harbored genome-wide variants achieved the optimal discriminatory ability in both validation datasets, as well as better performance in the EAS population compared to the PRS derived from known variants. Using the UK Biobank cohort, we further validated a significant dose-response effect of PRS(CSx) on incident colorectal cancer, in which the risk was 2.11- and 3.88-fold higher in individuals with intermediate and high PRS(CSx) than in the low score subgroup (P(trend) = 8.15 × 10(−53)). Notably, the detrimental effect of being at a high genetic risk could be largely attenuated by adherence to a favorable lifestyle, with a 0.53% reduction in 5-year absolute risk. CONCLUSIONS: In summary, we systemically constructed an EAS-EUR PRS to effectively stratify colorectal cancer risk, which highlighted its clinical implication among diverse ancestries. Importantly, these findings also supported that a healthy lifestyle could reduce the genetic impact on incident colorectal cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01156-9. BioMed Central 2023-01-24 /pmc/articles/PMC9875451/ /pubmed/36694225 http://dx.doi.org/10.1186/s13073-023-01156-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Xin, Junyi
Du, Mulong
Gu, Dongying
Jiang, Kewei
Wang, Mengyun
Jin, Mingjuan
Hu, Yeting
Ben, Shuai
Chen, Silu
Shao, Wei
Li, Shuwei
Chu, Haiyan
Zhu, Linjun
Li, Chen
Chen, Kun
Ding, Kefeng
Zhang, Zhengdong
Shen, Hongbing
Wang, Meilin
Risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of East Asian and European populations
title Risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of East Asian and European populations
title_full Risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of East Asian and European populations
title_fullStr Risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of East Asian and European populations
title_full_unstemmed Risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of East Asian and European populations
title_short Risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of East Asian and European populations
title_sort risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of east asian and european populations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875451/
https://www.ncbi.nlm.nih.gov/pubmed/36694225
http://dx.doi.org/10.1186/s13073-023-01156-9
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