Publication: MicroRNA Processing and Binding Site Polymorphisms Are Not Replicated in the Ovarian Cancer Association Consortium
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Date
2011
Published Version
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Publisher
American Association for Cancer Research (AACR)
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Citation
Permuth-Wey, J., Z. Chen, Y.-Y. Tsai, H.-Y. Lin, Y. A. Chen, J. Barnholtz-Sloan, M. J. Birrer, et al. 2011. “MicroRNA Processing and Binding Site Polymorphisms Are Not Replicated in the Ovarian Cancer Association Consortium.” Cancer Epidemiology Biomarkers & Prevention 20 (8) (June 2): 1793–1797. doi:10.1158/1055-9965.epi-11-0397.
Research Data
Abstract
Background
Single nucleotide polymorphisms (SNPs) in microRNA-related genes have been associated with epithelial ovarian cancer (EOC) risk in two reports, yet associated alleles may be inconsistent across studies.
Methods
We conducted a pooled analysis of previously-identified SNPs by combining genotype data from 3,973 invasive EOC cases and 3,276 controls from the Ovarian Cancer Association Consortium. We also conducted imputation to obtain dense coverage of genes and comparable genotype data for all studies. In total, 226 SNPs within 15 kilobases of 4 miRNA biogenesis genes (DDX20, DROSHA, GEMIN4, and XPO5) and 23 SNPs located within putative miRNA binding sites of 6 genes (CAV1, COL18A1, E2F2, IL1R1, KRAS, and UGT2A3) were genotyped or imputed and analyzed in the entire dataset.
Results
After adjustment for European ancestry, no overall association was observed between any of the analyzed SNPs and EOC risk.
Conclusions
Common variants in these evaluated genes do not appear to be strongly associated with EOC risk.
Impact
This analysis suggests earlier associations between EOC risk and SNPs in these genes may have been chance findings, possibly confounded by population admixture. To more adequately evaluate the relationship between genetic variants and cancer risk, large sample sizes are needed, adjustment for population stratification should be performed, and use of imputed SNP data should be considered.
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Keywords
miRNA processing, binding sites, inherited susceptibility, ovarian cancer, genetic variants
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