Computational protocol: Androgen Receptor CAG Repeats Length Polymorphism and the Risk of Polycystic Ovarian Syndrome (PCOS)

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Protocol publication

[…] All the comparisons were done using statistical software package “STATISTICA”, and the results were confirmed by online available statistical tools (www.vassarstats.net). The bi-allelic CAG mean of all controls and all cases were compared by Student’s independent ‘t’ test. The bi-allelic CAG mean of the three groups were compared by one factor analysis of variance (ANOVA), and the significance of mean difference between the groups was checked by Bonferroni post hoc test after adjusting the significance for multiple contrasts.In the second round of analysis, the distribution of cases and controls in three allele size categories (short, moderate, and long allele length: <17, 17–19, >19, respectively) and in two allele size categories (Extreme and moderate size: <17 and >19, 17–19, respectively) was compared. The bi-allelic CAG mean between groups and lengths were compared by two factors ANOVA, and the significance of mean difference within and between the groups was done by Bonferroni post hoc test after adjusting the significance for multiple contrasts. The frequency distribution between cases and controls was compared using chi square test. Two-sided P values of less than 0.05 (95% level of confidence) were considered significant for inference for individual tests; however, for multiple comparisons, the significance was checked against P value corrected for multiple contrasts. The power of all statistical tests was 80.0% with 5.0% margin of error. […]

Pipeline specifications

Software tools Statistica, VassarStats
Application Miscellaneous
Organisms Homo sapiens
Diseases Polycystic Ovary Syndrome, Hyperandrogenism, Genetic Diseases, Inborn