TY - JOUR
T1 - Large-scale meta-genome-wide association study reveals common genetic factors linked to radiation-induced acute toxicities across cancer types
AU - The Radiogenomics Consortium
AU - Naderi, Elnaz
AU - Aguado-Barrera, Miguel E.
AU - Schack, Line M.H.
AU - Dorling, Leila
AU - Rattay, Tim
AU - Fachal, Laura
AU - Summersgill, Holly
AU - Martínez-Calvo, Laura
AU - Welsh, Ceilidh
AU - Dudding, Tom
AU - Odding, Yasmin
AU - Varela-Pazos, Ana
AU - Jena, Rajesh
AU - Thomson, David J.
AU - Steenbakkers, Roel J.H.M.
AU - Dennis, Joe
AU - Lobato-Busto, Ramón
AU - Alsner, Jan
AU - Ness, Andy
AU - Nutting, Chris
AU - Gómez-Caamaño, Antonio
AU - Eriksen, Jesper G.
AU - Thomas, Steve J.
AU - Bates, Amy M.
AU - Webb, Adam J.
AU - Choudhury, Ananya
AU - Rosenstein, Barry S.
AU - Taboada-Valladares, Begona
AU - Herskind, Carsten
AU - Azria, David
AU - Dearnaley, David P.
AU - de Ruysscher, Dirk
AU - Sperk, Elena
AU - Hall, Emma
AU - Stobart, Hilary
AU - Chang-Claude, Jenny
AU - De Ruyck, Kim
AU - Veldeman, Liv
AU - Altabas, Manuel
AU - De Santis, Maria Carmen
AU - Farcy-Jacquet, Marie Pierre
AU - Veldwijk, Marlon R.
AU - Sydes, Matthew R.
AU - Parliament, Matthew
AU - Usmani, Nawaid
AU - Burnet, Neil G.
AU - Seibold, Petra
AU - Symonds, R. Paul
AU - Elliott, Rebecca M.
AU - Green, Sheryl
N1 - Publisher Copyright:
© The Author(s) 2023. Published by Oxford University Press.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Background: This study was designed to identify common genetic susceptibility and shared genetic variants associated with acute radiation-induced toxicity across 4 cancer types (prostate, head and neck, breast, and lung). Methods: A genome-wide association study meta-analysis was performed using 19 cohorts totaling 12 042 patients. Acute standar- dized total average toxicity (STATacute) was modelled using a generalized linear regression model for additive effect of genetic var- iants, adjusted for demographic and clinical covariates (rSTATacute). Linkage disequilibrium score regression estimated shared single-nucleotide variation (SNV-formerly SNP)-based heritability of rSTATacute in all patients and for each cancer type. Results: Shared SNV-based heritability of STATacute among all cancer types was estimated at 10% (SE = 0.02) and was higher for pros- tate (17%, SE = 0.07), head and neck (27%, SE = 0.09), and breast (16%, SE = 0.09) cancers. We identified 130 suggestive associated SNVs with rSTATacute (5.0 × 10-8 < P < 1.0 × 10-5) across 25 genomic regions. rs142667902 showed the strongest association (effect allele A; effect size -0.17; P = 1.7 × 10-7), 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 × 10-6, P = .079 corrected) as the top gene set associated with rSTATacute among all patients. In silico gene expression analysis showed that the genes associated with rSTATacute were statistically significantly up-regulated in skin (not sun exposed P = .004 corrected; sun exposed P = .026 corrected). Conclusions: There is shared SNV-based heritability for acute radiation-induced toxicity across and within individual cancer sites. Future meta-genome-wide association studies among large radiation therapy patient cohorts are worthwhile to identify the com- mon causal variants for acute radiotoxicity across cancer types.
AB - Background: This study was designed to identify common genetic susceptibility and shared genetic variants associated with acute radiation-induced toxicity across 4 cancer types (prostate, head and neck, breast, and lung). Methods: A genome-wide association study meta-analysis was performed using 19 cohorts totaling 12 042 patients. Acute standar- dized total average toxicity (STATacute) was modelled using a generalized linear regression model for additive effect of genetic var- iants, adjusted for demographic and clinical covariates (rSTATacute). Linkage disequilibrium score regression estimated shared single-nucleotide variation (SNV-formerly SNP)-based heritability of rSTATacute in all patients and for each cancer type. Results: Shared SNV-based heritability of STATacute among all cancer types was estimated at 10% (SE = 0.02) and was higher for pros- tate (17%, SE = 0.07), head and neck (27%, SE = 0.09), and breast (16%, SE = 0.09) cancers. We identified 130 suggestive associated SNVs with rSTATacute (5.0 × 10-8 < P < 1.0 × 10-5) across 25 genomic regions. rs142667902 showed the strongest association (effect allele A; effect size -0.17; P = 1.7 × 10-7), 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 × 10-6, P = .079 corrected) as the top gene set associated with rSTATacute among all patients. In silico gene expression analysis showed that the genes associated with rSTATacute were statistically significantly up-regulated in skin (not sun exposed P = .004 corrected; sun exposed P = .026 corrected). Conclusions: There is shared SNV-based heritability for acute radiation-induced toxicity across and within individual cancer sites. Future meta-genome-wide association studies among large radiation therapy patient cohorts are worthwhile to identify the com- mon causal variants for acute radiotoxicity across cancer types.
UR - http://www.scopus.com/inward/record.url?scp=85178100666&partnerID=8YFLogxK
U2 - 10.1093/jncics/pkad088
DO - 10.1093/jncics/pkad088
M3 - Article
C2 - 37862240
AN - SCOPUS:85178100666
SN - 2515-5091
VL - 7
JO - JNCI Cancer Spectrum
JF - JNCI Cancer Spectrum
IS - 6
M1 - pkad088
ER -