No SNPs survived gene-wide corrections for an association with both forms of impulsivity.
A genome-wide correction to correct for multiple marker testing was applied (Bonferroni method: p < 6.4 × 10−8 calculated from nominal p value of 0.05/total number of markers as 782,838).
For example, comparing two uncorrected p-values, 6.8 × 10-8 and 4.1 × 10-10, becomuchmore more tractable after a genome-wide correction, resulting in corrected p-values of 0.0291 and 0.0004, respectively.
Some investors were concerned instead that the tech sectors poor performance today presages a wider correction.
Another interesting thing is that this wasn't a market-wide correction, and essentially was limited to the tech sector.
We found gene-wide (correction for the number of meta-analyses for each gene) significant allelic association evidence for seven genes in the combined samples.
After correction for multiple testing based on false discovery rate and considering the number of analyzed polymorphisms, significant associations were shown for four variants, even though none of these associations survived a genome-wide correction (P < 5 ∗ 10− 8).
Although the Nasdaq Composite Index has lost almost 9% since its peak, we may only be in the very beginning of a market-wide correction, according to Walter Murphy, senior market analyst with Merrill Lynch.
First, a gene-wide correction was applied to the most significant single-SNP p-value in each gene.
Again, the significance for none of these genes would survive genome-wide correction for multiple testing.
The Benjamini-Hochberg method at a 0.05 significance level was used for genome-wide correction.
