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Accordingly, there is no need for correction of tests of association with different SNPs.
The group analyses now identify significance at a threshold of p < 0.05 or p < 0.01 with Bonferroni correction (# of tests = 28).
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To correct for multiple testing, we used a Bonferroni correction of six tests for 143,975 SNPs at P < 0.05, which yields a genome-wide significant threshold of P < 4.00 × 10−8, which we reiterate is a conservative threshold.
*These values are not significant after the Bonferroni correction (number of tests = 18).
Using annotation categories in this fashion is important given concerns posed by recent GWAS [ 8] about the over-correction of test statistics using standard genomic control.
Hand-eye coordination (maze test), motoric speed (tapping test), mental work capacity (correction of text test), fatigue and well-being (self-evaluation questionnaire), heart rate and physical work capacity (bicycle ergometer test) were assessed.
Correction of multiple tests resulted into only rs730497 as a significant SNP.
These markers were subjected to correction of multiple tests with the number of alleles, and nine microsatellites remained significant.
But after correction of multiple tests, there is no significance association between loci on 6q and susceptibility of psychiatric disorders, including schizophrenia or affective disorder.
Among the 94 drugs, 51 drugs (54.26%) (yellow nodes in Figure 3) had statistically significant P-values after Bonferroni correction of multiple testing (Fisher's exact test, P-value: 0 ~ 0.0004) (additional file, Table S2).
Testing for differential expression between the xenograft models was performed using t-tests with Empirical Bayesian correction of the test statistics [ 32].
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