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Chunk #38 — Methods — GAWMerge implementation

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GAWMerge expands GWAS sample size and diversity by combining array-based genotyping and whole-genome sequencing.
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Computation of GAWMerge is comparable to other GWAS efforts. For example, in the analysis comparing ECLIPSE WGS data and COPDGene EA array data, phasing the 10,302 variants on chromosome 10 (overlapped with the array data) of the 1,461 samples in ECLIPSE WGS data took ~9 h using a machine with 32GB memory and 16 CPUs. The following imputation ran on a machine with 16GB memory and 4 CPUs for 2 h and 37 min. Then the re-imputation runs for similar amount of time.