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Abstract
For the melanoma, breast and lung cancer studies, the same atabases were used to identify the SNPs in the genes of interst and perform the statistical analysis. In the case of the prostate ancer study, the SNP database that was used to mine the NPs was phs000306.v2.p1, by using the publicly available SNP ata. That is, a different SNP data set (phs000306.v2.p1) was used o obtain the SNPs than the database used for the subsequent tatistical analysis (phs000207.v1.p1). This does not change any f our results, in fact it reinforces our method. This is because he list of SNPs associated with prostate cancer was obtained rom a different study than the one that was analysed for ignificance. However, the fact that 11 of the SNPs obtained rom phs000306.v2.p1 was determined to be statistically signifcantly associated with prostate cancer (see main text) when nalysing the phs000207.v1.p1 database provides validation for our ethod. The acknowledgement section should include the following tatement:
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