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Mitochodrial DNA Case-Control Association
Studies. Estimation of the Statistical Power
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Power estimation
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A posteriori
power estimation
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Sample size
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Minimum difference
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Power estimation
Example 1: Mitochondrial DNA haplogroups or mtSNPs
Example 2: Autosomal SNPs
Total number of categories (
N
)
It must be positive and integer. The term categories refers to haplogroups or SNP variants (see examples for more information)
FREQUENCIES OF HAPLOGROUPS/SNP VARIANTS IN CONTROLS
Frequency of risky haplogroup/SNP variant (
p
0
)
It must be positive and less than 1
Frequencies of the remaining haplogroups/SNP variant
N
- 1 values separated by semicolon ";" are required. By default: (1 -
p
0
)/(
N
- 1)
Odds ratio of the risky haplogroup/SNP variant
Optional: multiple values separated by semicolon ";" accepted
Values must be higher than 1
Sample size in controls
Is it a vector?
It must be positive and integer
Minimum sample size (
N
co,min
)
Maximum sample size (
N
co,max
)
Step
N
co,min
,
N
co,max
and Step must be positive and integer
For computational reasons, Step should be a number higher than (
N
co,max
-
N
co,min
) x 0.05
Sample size in cases
It must be positive and integer
Number of simulations
It must be positive, integer and not higher than 5000
Significance level
It must be between 0 and 1
STATISTICAL TEST
Chi-square test (Calibration method: asymptotic)
Chi-square test (Calibration method: permutation)
Number of permutations
It must be positive, integer and not higher than 5000
Fisher's Exact Test (only 2 x 2 tables)
Fisher's Test Approached (only 2 x k; k > 2)
Number of Monte Carlo simulations
It must be positive, integer and not higher than 5000
Graphical output
It only works when there are variables defined as vectors
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