Estimation of the multiple testing burden for genomewide association studies of nearly all common variants¶
Pe'er, I., Yelensky, R., Altshuler, D., & Daly, M. J. (2008). Estimation of the multiple testing burden for genomewide association studies of nearly all common variants. Genetic Epidemiology.
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Domain-specific¶
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- The field learned that discovery-stage "top hits" not only exaggerate their effect sizes but can carry the wrong allele direction, and it responded not with more precise genotyping but with an independent replication cohort requirement and a stringent genome-wide significance threshold (commonly p < 5×10⁻⁸) that holds down false positives across the multiplicity of tests, roughly a million effectively independent common-variant tests
This sourceDerives the genome-wide significance standard from a multiple-testing burden of about one million independent common-variant tests in Europeans.
Supported in partVerified against the source
- The field learned that discovery-stage "top hits" not only exaggerate their effect sizes but can carry the wrong allele direction, and it responded not with more precise genotyping but with an independent replication cohort requirement and a stringent genome-wide significance threshold (commonly p < 5×10⁻⁸) that holds down false positives across the multiplicity of tests, roughly a million effectively independent common-variant tests
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