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Chunk #6 — Results — Protocol to integrate array and WGS data

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GAWMerge expands GWAS sample size and diversity by combining array-based genotyping and whole-genome sequencing.
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For selection of controls in step 1, it is crucial to choose samples with an ancestral composition consistent with the case samples, as population stratification is a strong confounding factor for GWAS analysis. Additional demographic (e.g., age, sex) and clinical variables (e.g., smoking status) should be considered based on the datasets being combined.