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Polygenic risk score as a determinant of risk of non-melanoma skin cancer in a European-descent renal transplant cohort
- Source :
- American Journal of Transplantation, 19(3), 801. Blackwell Publishing Asia Pty Ltd, Stapleton, C P, Birdwell, K A, McKnight, A J, Maxwell, A P, Mark, P B, Sanders, M L, Chapman, F A, van Setten, J, Phelan, P J, Kennedy, C, Jardine, A, Traynor, J P, Keating, B, Conlon, P J & Cavalleri, G L 2019, ' Polygenic risk score as a determinant of risk of non-melanoma skin cancer in a European-descent renal transplant cohort ', American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, vol. 19, no. 3, pp. 801-810 . https://doi.org/10.1111/ajt.15057
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Renal transplant recipients have an increased risk of non-melanoma skin cancer (NMSC) compared to in the general population. Here, we show polygenic risk scores (PRS) calculated from genome-wide association studies (GWAS) of NMSC in general, non-transplant setting, can predict risk of, and time to post-transplant skin cancer. Genetic variants, reaching pre-defined p-value thresholds were chosen from published squamous cell carcinoma (SCC) and basal cell carcinoma (BCC) non-transplant GWAS. Using these genome-wide association studies, BCC and SCC PRS were calculated for each sample across three European-ancestry renal-transplant cohorts (n=889) and tested as predictors of case:control status and time to NMSC post-transplant. BCC PRS calculated at p-value threshold 1x10 was the most significant predictor of case:control status of NMSC post-transplant (OR=1.65; adjusted P=0.0008; AUC(full model adjusted for clinical predictors and PRS)=0.81). SCC PRS at p-value threshold 1x10 was the most significant predictor of time to post-transplant NMSC (adjusted P=8.15x10 ; HR=1.42, concordance (full model)=0.74). PRS of non-transplant NMSC is predictive of case:control status and time to NMSC post-transplant. These results are relevant to how genomics can risk stratify patients to help develop personalised treatment regimens. This article is protected by copyright. All rights reserved.
- Subjects :
- Male
Oncology
Skin Neoplasms
kidney transplantation/nephrology
Genome-wide association study
030230 surgery
Cohort Studies
Postoperative Complications
0302 clinical medicine
Risk Factors
Immunology and Allergy
genetics
Pharmacology (medical)
malignant [complication]
Non-U.S. Gov't
education.field_of_study
Incidence
Research Support, Non-U.S. Gov't
Middle Aged
Prognosis
3. Good health
dermatology
risk assessment/risk stratification
side effects
Renal transplant
complication: malignant
Cohort
Carcinoma, Squamous Cell
Female
basic research/science
medicine.medical_specialty
Concordance
Population
Research Support
Polymorphism, Single Nucleotide
Article
03 medical and health sciences
SDG 3 - Good Health and Well-being
Internal medicine
Biomarkers, Tumor
genomics
Journal Article
medicine
Humans
Basal cell carcinoma
education
Genetic association
Transplantation
business.industry
medicine.disease
Kidney Transplantation
Transplant Recipients
United States
Carcinoma, Basal Cell
Case-Control Studies
Kidney Failure, Chronic
Skin cancer
business
Follow-Up Studies
Genome-Wide Association Study
RC
Subjects
Details
- ISSN :
- 16006135
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- American Journal of Transplantation
- Accession number :
- edsair.doi.dedup.....3ddcb0d8c4705c7444bcda5180c6abf8
- Full Text :
- https://doi.org/10.1111/ajt.15057