Single-nucleotide polymorphisms based genetic risk score in the prediction of pancreatic cancer risk
Disease-related single nucleotide polymorphisms (SNPs) based genetic risk score (GRS) has been proven to provide independent inherited risk other than family history in multiple cancer types. To evaluate the potential of GRS in the prediction of pancreatic cancer risk. In this case-control study (25...
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Published in | World journal of gastroenterology : WJG Vol. 26; no. 22; pp. 3076 - 3086 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Baishideng Publishing Group Inc
14.06.2020
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ISSN | 1007-9327 2219-2840 2219-2840 |
DOI | 10.3748/wjg.v26.i22.3076 |
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Abstract | Disease-related single nucleotide polymorphisms (SNPs) based genetic risk score (GRS) has been proven to provide independent inherited risk other than family history in multiple cancer types.
To evaluate the potential of GRS in the prediction of pancreatic cancer risk.
In this case-control study (254 cases and 1200 controls), we aimed to evaluate the association between GRS and pancreatic ductal adenocarcinoma (PDAC) risk in the Chinese population. The GRS was calculated based on the genotype information of 18 PDAC-related SNPs for each study subject (personal genotyping information of the SNPs) and was weighted by external odd ratios (ORs).
GRS was significantly different in cases and controls (1.96 ± 3.84 in PDACs
1.09 ± 0.94 in controls,
< 0.0001). Logistic regression revealed GRS to be associated with PDAC risk [OR = 1.23, 95% confidence interval (CI): 1.13-1.34,
< 0.0001]. GRS remained significantly associated with PDAC (OR = 1.36, 95%CI: 1.06-1.74,
= 0.015) after adjusting for age and sex. Further analysis revealed an association of increased risk for PDAC with higher GRS. Compared with low GRS (< 1.0), subjects with high GRS (2.0) were 99% more likely to have PDAC (OR: 1.99, 95%CI: 1.30-3.04,
= 0.002). Participants with intermediate GRS (1.0-1.9) were 39% more likely to have PDAC (OR: 1.39, 95%CI: 1.03-1.84,
= 0.031). A positive trend was observed (
trend = 0.0006).
GRS based on PDAC-associated SNPs could provide independent information on PDAC risk and may be used to predict a high risk PDAC population. |
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AbstractList | Disease-related single nucleotide polymorphisms (SNPs) based genetic risk score (GRS) has been proven to provide independent inherited risk other than family history in multiple cancer types.BACKGROUNDDisease-related single nucleotide polymorphisms (SNPs) based genetic risk score (GRS) has been proven to provide independent inherited risk other than family history in multiple cancer types.To evaluate the potential of GRS in the prediction of pancreatic cancer risk.AIMTo evaluate the potential of GRS in the prediction of pancreatic cancer risk.In this case-control study (254 cases and 1200 controls), we aimed to evaluate the association between GRS and pancreatic ductal adenocarcinoma (PDAC) risk in the Chinese population. The GRS was calculated based on the genotype information of 18 PDAC-related SNPs for each study subject (personal genotyping information of the SNPs) and was weighted by external odd ratios (ORs).METHODSIn this case-control study (254 cases and 1200 controls), we aimed to evaluate the association between GRS and pancreatic ductal adenocarcinoma (PDAC) risk in the Chinese population. The GRS was calculated based on the genotype information of 18 PDAC-related SNPs for each study subject (personal genotyping information of the SNPs) and was weighted by external odd ratios (ORs).GRS was significantly different in cases and controls (1.96 ± 3.84 in PDACs vs 1.09 ± 0.94 in controls, P < 0.0001). Logistic regression revealed GRS to be associated with PDAC risk [OR = 1.23, 95% confidence interval (CI): 1.13-1.34, P < 0.0001]. GRS remained significantly associated with PDAC (OR = 1.36, 95%CI: 1.06-1.74, P = 0.015) after adjusting for age and sex. Further analysis revealed an association of increased risk for PDAC with higher GRS. Compared with low GRS (< 1.0), subjects with high GRS (2.0) were 99% more likely to have PDAC (OR: 1.99, 95%CI: 1.30-3.04, P = 0.002). Participants with intermediate GRS (1.0-1.9) were 39% more likely to have PDAC (OR: 1.39, 95%CI: 1.03-1.84, P = 0.031). A positive trend was observed (P trend = 0.0006).RESULTSGRS was significantly different in cases and controls (1.96 ± 3.84 in PDACs vs 1.09 ± 0.94 in controls, P < 0.0001). Logistic regression revealed GRS to be associated with PDAC risk [OR = 1.23, 95% confidence interval (CI): 1.13-1.34, P < 0.0001]. GRS remained significantly associated with PDAC (OR = 1.36, 95%CI: 1.06-1.74, P = 0.015) after adjusting for age and sex. Further analysis revealed an association of increased risk for PDAC with higher GRS. Compared with low GRS (< 1.0), subjects with high GRS (2.0) were 99% more likely to have PDAC (OR: 1.99, 95%CI: 1.30-3.04, P = 0.002). Participants with intermediate GRS (1.0-1.9) were 39% more likely to have PDAC (OR: 1.39, 95%CI: 1.03-1.84, P = 0.031). A positive trend was observed (P trend = 0.0006).GRS based on PDAC-associated SNPs could provide independent information on PDAC risk and may be used to predict a high risk PDAC population.CONCLUSIONGRS based on PDAC-associated SNPs could provide independent information on PDAC risk and may be used to predict a high risk PDAC population. Disease-related single nucleotide polymorphisms (SNPs) based genetic risk score (GRS) has been proven to provide independent inherited risk other than family history in multiple cancer types. To evaluate the potential of GRS in the prediction of pancreatic cancer risk. In this case-control study (254 cases and 1200 controls), we aimed to evaluate the association between GRS and pancreatic ductal adenocarcinoma (PDAC) risk in the Chinese population. The GRS was calculated based on the genotype information of 18 PDAC-related SNPs for each study subject (personal genotyping information of the SNPs) and was weighted by external odd ratios (ORs). GRS was significantly different in cases and controls (1.96 ± 3.84 in PDACs 1.09 ± 0.94 in controls, < 0.0001). Logistic regression revealed GRS to be associated with PDAC risk [OR = 1.23, 95% confidence interval (CI): 1.13-1.34, < 0.0001]. GRS remained significantly associated with PDAC (OR = 1.36, 95%CI: 1.06-1.74, = 0.015) after adjusting for age and sex. Further analysis revealed an association of increased risk for PDAC with higher GRS. Compared with low GRS (< 1.0), subjects with high GRS (2.0) were 99% more likely to have PDAC (OR: 1.99, 95%CI: 1.30-3.04, = 0.002). Participants with intermediate GRS (1.0-1.9) were 39% more likely to have PDAC (OR: 1.39, 95%CI: 1.03-1.84, = 0.031). A positive trend was observed ( trend = 0.0006). GRS based on PDAC-associated SNPs could provide independent information on PDAC risk and may be used to predict a high risk PDAC population. |
Author | Xu, Jian-Feng Fu, De-Liang Jiang, De-Ke Lin, Xiao-Ling Chen, Hai-Tao Jin, Chen Wang, Xiao-Yi Yang, Feng |
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CitedBy_id | crossref_primary_10_3390_cancers14133239 crossref_primary_10_1111_jcmm_16573 crossref_primary_10_3390_cancers15092410 crossref_primary_10_1016_j_semcancer_2025_02_009 crossref_primary_10_1186_s13053_022_00224_2 crossref_primary_10_1016_j_gene_2022_147008 crossref_primary_10_1186_s12902_023_01514_z crossref_primary_10_1016_j_semcancer_2020_08_003 crossref_primary_10_1158_1055_9965_EPI_23_0468 |
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Keywords | Chinese population Single nucleotide polymorphisms Genome-wide association study Genetic risk score Pancreatic cancer |
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License | The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author contributions: Wang XY, Chen HT and Na R contributed equally to this study; Wang XY, Na R, Xu JF, Fu DL, Jin C and Yang F designed the research; Wang XY, Chen HT, Na R and Lin XL performed the research; Xu JF and Chen HT contributed analytic methods; Jiang DK and Xu JF contributed control group data; Wang XY, Chen HT and Lin XL analyzed the data; Wang XY and Na R wrote the paper. Corresponding author: De-Liang Fu, MD, PhD, Doctor, Professor, Surgical Oncologist, Department of Pancreatic Surgery, Pancreatic Disease Institute, Huashan Hospital, Fudan University, No. 12, Central Urumqi Road, Shanghai 200040, China. fudeliang@huashan.org.cn |
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SubjectTerms | Case Control Study Case-Control Studies Genetic Predisposition to Disease Genome-Wide Association Study Genotype Humans Nucleotides Pancreatic Neoplasms - epidemiology Pancreatic Neoplasms - genetics Polymorphism, Single Nucleotide Risk Factors |
Title | Single-nucleotide polymorphisms based genetic risk score in the prediction of pancreatic cancer risk |
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