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GWAS studies typically use a p-value cutoff of 5*10^-8 to avoid exactly that problem.
by bobcostas55 6y ago
GWAS studies typically use a p-value cutoff of 5*10^-8 to avoid exactly that problem.
- glofish 6y agop values cutoff can't salvage that as a matter of fact artificially raising the cutoff to make the results sound more convincing is a form a p-hacking it is exactly the opposite of how p-values work. a smaller p-value does not make a result more reliable, it makes no sense whatsoever to reject a 10^-7 but trust in 10^-8 the misuse of p-values in the world is rampant - the only people that don't misuse them are those that do not use them ;-)
- drocer88 6y agoSee here: https://en.wikipedia.org/wiki/Genome-wide_significance https://en.wikipedia.org/wiki/Genome-wide_significance "The most commonly accepted threshold is p < 5 × 10−8, which is based on performing a Bonferroni correction for all the independent common SNPs across the human genome"
- zosima 6y agoThe reason for the low cutoff is to correct for multiple hypothesis testing. Any what do you mean by "opposite of how p-values work"? Obviously if P(data or more extreme|null hypothesis) = 10^-8 it's significantly less likely to see the data if the null hypothesis was true, than if P(data or more extreme| null hypothesis) = 10^-7.