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The mid p-value in exact tests for Hardy-Weinberg equilibrium
Jan Graffelman1, Victor Moreno
1Department of Statistics and Operations Research, Universitat Politècnica de Catalunya, Avinguda Diagonal 647, Barcelona, Spain
The mid p-value offers a better alternative to the standard p-value in Hardy-Weinberg equilibrium exact tests for genetic association studies. It provides improved power and more accurate error rates, especially for small allele frequencies.
Area of Science:
- Population genetics
- Statistical genetics
Background:
- Exact tests for Hardy-Weinberg equilibrium are crucial in genetic association studies.
- The standard p-value in these tests can be overly conservative, particularly with small minor allele frequencies.
Purpose of the Study:
- To evaluate the mid p-value as a superior alternative to the standard p-value in exact tests for Hardy-Weinberg equilibrium.
- To assess the performance of the mid p-value regarding type 1 error rate and statistical power.
Main Methods:
- Calculated type 1 error rates and power for exact tests under various conditions (sample size, significance level, minor allele count, deviation from equilibrium).
- Compared three p-value types: standard two-sided, doubled one-sided, and mid p-value.
- Utilized HapMap datasets and a colon cancer dataset to analyze practical implications.
Main Results:
- The mid p-value demonstrated type 1 error rates closer to the nominal level and superior statistical power compared to the standard p-value.
- Differences were more pronounced for non-significant results; the mid p-value identified more significant markers in empirical datasets.
- The equilibrium null distribution was found untenable for both analyzed databases.
Conclusions:
- The standard exact p-value is overly conservative, especially for low minor allele frequencies.
- The mid p-value improves upon this by bringing rejection rates closer to the nominal level, with a slight risk of exceeding it.
- The mid p-value is recommended for genetic association studies for more accurate and powerful equilibrium testing.
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