Large-scale meta-genome-wide association study reveals common genetic factors linked to radiation-induced acute toxicities across cancer types

Elnaz Naderi, Miguel E Aguado-Barrera, Line M H Schack, Leila Dorling, Tim Rattay, Laura Fachal, Holly Summersgill, Laura Martínez-Calvo, Ceilidh Welsh, Tom Dudding, Yasmin Odding, Ana Varela-Pazos, Rajesh Jena, David J Thomson, Roel J H M Steenbakkers, Joe Dennis, Ramón Lobato-Busto, Jan Alsner, Andy Ness, Chris NuttingAntonio Gómez-Caamaño, Jesper G Eriksen, Steve J Thomas, Amy M Bates, Adam J Webb, Ananya Choudhury, Barry S Rosenstein, Begona Taboada-Valladares, Carsten Herskind, David Azria, David P Dearnaley, Dirk de Ruysscher, Elena Sperk, Emma Hall, Hilary Stobart, Jenny Chang-Claude, Kim De Ruyck, Liv Veldeman, Manuel Altabas, Maria Carmen De Santis, Marie-Pierre Farcy-Jacquet, Marlon R Veldwijk, Matthew R Sydes, Matthew Parliament, Nawaid Usmani, Neil G Burnet, Petra Seibold, R Paul Symonds, Rebecca M Elliott, Renée Bultijnck, S.L. Kerns*, Ben Vanneste, Radiogenomics Consortium

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

BACKGROUND: This study was designed to identify common genetic susceptibility and shared genetic variants associated with acute radiation-induced toxicity (RIT) across four cancer types (prostate, head and neck, breast, and lung). METHODS: A GWAS meta-analysis was performed using 19 cohorts including 12,042 patients. Acute standardized total average toxicity (rSTATacute) was modelled using a generalized linear regression model for additive effect of genetic variants adjusted for demographic and clinical covariates. LD score regression estimated shared SNP-based heritability of rSTATacute in all patients and for each cancer type. RESULTS: Shared SNP-based heritability of STATacute among all cancer types was estimated at 10% (se?=?0.02), and was higher for prostate (17%, se?=?0.07), head and neck (27%, se?=?0.09), and breast (16%, se?=?0.09) cancers. We identified 130 suggestive associated SNPs with rSTATacute (5.0x10-8<P-value<1.0x10-5) across 25 genomic regions. rs142667902 showed the strongest association (effect allele A; effect size -0.17; P-value=1.7x10-7), which is located near DPPA4, encoding a protein involved in pluripotency in stem cells, which are essential for repair of radiation-induced tissue injury. Gene-set enrichment analysis identified 'RNA splicing via endonucleolytic cleavage and ligation' (P?=?5.1 x10-6, Pcorrected =0.079) as the top gene set associated with rSTATacute among all patients. In-silico gene expression analysis showed the genes associated with rSTATacute were statistically significantly up-regulated in skin (not sun exposed Pcorrected=0.004; sun exposed Pcorrected=0.026). CONCLUSIONS: There is shared SNP-based heritability for acute RIT across and within individual cancer sites. Future meta-GWAS among large radiotherapy patient cohorts are worthwhile to identify the common causal variants for acute radiotoxicity across cancer types.
Original languageEnglish
Article numberpkad088
Number of pages11
JournalJNCI Cancer Spectrum
Volume7
Issue number6
DOIs
Publication statusPublished - Dec 2023

Keywords

  • GWAS
  • Radiogenomics
  • SNP-based heritability
  • acute radiation-induced toxicity

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