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Chunk #17 — Online Methods — Simulation of sequencing data based on 1000 Genomes Project dataset — Imputing genotypes from sequencing data

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Extremely low-coverage sequencing and imputation increases power for genome-wide association studies.
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allele at all SNPs identified in the phase 1 release of the 1000 Genomes Project. Reads that did not overlap any polymorphic sites were discarded. In the second step, the genotype likelihoods for all loci in all samples (with or without the reference panel of haplotypes, 381 in total for simulations) were passed to the Beagle imputation software12 with default parameters (i.e. “like” for the genotype likelihoods and “phased” for the reference haplotypes).