Integrating sequencing datasets to form highly confident SNP and indel genotype calls for a whole human genome

Clinical adoption of human genome sequencing requires methods with known accuracy of genotype calls at millions or billions of positions across a genome. Previous work showing discordance amongst sequencing methods and algorithms has made clear the need for a highly accurate set of genotypes across a whole genome that could be used as a benchmark. We present methods to make highly confident SNP, indel, and homozygous reference genotype calls for NA12878, the pilot genome for the Genome in a Bottle Consortium. We minimize bias towards any method by integrating and arbitrating between 14 datasets from 5 sequencing technologies, 7 mappers, and 3 variant callers. Regions for which no confident genotype call could…