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Chunk #10 — Methods — Proposed methods — The methods based on the Fisher combination function

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An efficient genome-wide association test for multivariate phenotypes based on the Fisher combination function.
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Combining independent tests of significance to form a join statistic has been used as an alternative approach to tackling complex multivariate location problems [22]. This approach is quite popular in practice because it is much easier to develop a univariate association test statistic than a multivariate association test statistic. Birnbaum [23] discussed various combination functions among which the Fisher combination function has been proven to be asymptotically Bahadur optimal [24, 25]. Thus, we focus on the Fisher combination function in this study.