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Chunk #42 — ONLINE METHODS — Model selection

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Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits.
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added significant SNPs into the model, which may be too conservative and may therefore result in a loss of power to detect additional associated variants but has the benefit of keeping the false positive rate in the conditional and joint analysis at the same level as in the meta-analysis. If a SNP has no correlation with any of the SNPs selected in the model, its P value in the conditional or joint analysis will remain the same as it is in the meta-analysis.