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Polygenic risk score as a determinant of risk of non-melanoma skin cancer in a European-descent renal transplant cohort

Authors :
Alexander P. Maxwell
Peter J. Conlon
Jessica van Setten
Brendan J. Keating
Claire Kennedy
Jamie P. Traynor
Paul J. Phelan
M. Lee Sanders
Fiona A. Chapman
Caragh P. Stapleton
Kelly A. Birdwell
Amy Jayne McKnight
Patrick B. Mark
Alan G. Jardine
Gianpiero L. Cavalleri
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.

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