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, 14:22, 1 April 2014
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| + | ==INTRODUCTION== |
| The key idea behind meta-analysis with RAREMETAL is that various gene-level test statistics can be reconstructed from single variant score statistics and that, when the linkage disequilibrium relationships between variants are known, the distribution of these gene-level statistics can be derived and used to evaluate signifi-cance. Single variant statistics are calculated using the Cochran-Mantel-Haenszel method. The main formulae are tabulated in the following: | | The key idea behind meta-analysis with RAREMETAL is that various gene-level test statistics can be reconstructed from single variant score statistics and that, when the linkage disequilibrium relationships between variants are known, the distribution of these gene-level statistics can be derived and used to evaluate signifi-cance. Single variant statistics are calculated using the Cochran-Mantel-Haenszel method. The main formulae are tabulated in the following: |
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| + | ==KEY FORMULAE== |
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| + | ===SINGLE VARIANT META ANALYSIS=== |
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| + | ===BURDEN META ANALYSIS=== |
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| + | ===VT META ANALYSIS=== |
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| + | ===SKAT META ANALYSIS=== |
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