PRESTO: Rapid calculation of order statistic distributions and multiple-testing adjusted P-values via permutation for one and two-stage genetic association studies |
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Authors: | Brian L Browning |
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Institution: | (1) Department of Statistics, The University of Auckland, Auckland, New Zealand |
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Abstract: | Background Large-scale genetic association studies can test hundreds of thousands of genetic markers for association with a trait. Since
the genetic markers may be correlated, a Bonferroni correction is typically too stringent a correction for multiple testing.
Permutation testing is a standard statistical technique for determining statistical significance when performing multiple
correlated tests for genetic association. However, permutation testing for large-scale genetic association studies is computationally
demanding and calls for optimized algorithms and software. PRESTO is a new software package for genetic association studies
that performs fast computation of multiple-testing adjusted P-values via permutation of the trait. |
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Keywords: | |
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