4.7 Article

A genome wide association study (GWAS) providing evidence of an association between common genetic variants and late radiotherapy toxicity

期刊

RADIOTHERAPY AND ONCOLOGY
卷 111, 期 2, 页码 178-185

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/j.radonc.2014.02.012

关键词

Radiotherapy; Late toxicity; Adverse effects; Genetics; Genome-wide association scan

资金

  1. Cancer Research UK
  2. Royal College of Radiologists, Breast Cancer Campaign
  3. National Institute of Health Research
  4. National Cancer Institute
  5. American Cancer Society
  6. Experimental Cancer Medicine Centre
  7. Instituto de Salud Carlos and Fondo Europeo de Desarrollo Regional
  8. Isabel Barreto programme from Xunta de Galicia and Fondo Social Europeo
  9. UK Medical Research Council
  10. Cancer Research UK [18504, 16565, 10588, 7253, 6035, 16561] Funding Source: researchfish
  11. Medical Research Council [G9600656, MC_U122861330, MC_UU_12023/6] Funding Source: researchfish
  12. National Institute for Health Research [NF-SI-0510-10026] Funding Source: researchfish
  13. MRC [MC_U122861330, MC_UU_12023/6, G9600656] Funding Source: UKRI

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Background and purpose: This study was designed to identify common single nucleotide polymorphisms (SNPs) associated with toxicity 2 years after radiotherapy. Materials and methods: A genome wide association study was performed in 1850 patients from the RAPPER study: 1217 received adjuvant breast radiotherapy and 633 had radical prostate radiotherapy. Genotype associations with both overall and individual endpoints of toxicity were tested via univariable and multivariable regression. Replication of potentially associated SNPs was carried out in three independent patient cohorts who had radiotherapy for prostate (516 RADIOGEN and 862 Gene-PARE) or breast (355 LeND) cancer. Results: Quantile-quantile plots show more associations at the P < 5 x 10(-7) level than expected by chance (164 vs. 9 for the prostate cases and 29 vs. 4 for breast cases), providing evidence that common genetic variants are associated with risk of toxicity. Strongest associations were for individual endpoints rather than an overall measure of toxicity in all patients. However, in general, significant associations were not validated at a nominal 0.05 level in the replication cohorts. Conclusions: This largest GWAS to date provides evidence of true association between common genetic. variants and toxicity. Associations with toxicity appeared to be tumour site-specific. Future GWAS require higher statistical power, in particular in the validation stage, to test clinically relevant effect sizes of SNP associations with individual endpoints, but the required sample sizes are achievable. (C) 2014 Published by Elsevier Ireland Ltd.

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