![]() ![]() ![]() To find the alleles that contribute to traits of interest, two steps must occur. Manipulating data at this scale is difficult. Genetic disease studies require thousands of samples to obtain adequate power and the resulting WGS datasets are hundreds of gigabytes in size and contain tens of millions of variants. The central challenge posed by WGS is one of scale. ![]() While genome-wide association studies (GWAS) and whole-exome sequencing (WES) remain important components of human disease research, the future lies in whole-genome sequencing (WGS), as it inarguably provides more complete data. ![]()
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