Blended Genome Exome (BGE) as a Cost Efficient Alternative to Deep Whole Genomes or Arrays
Matthew T. DeFelice, Jonna Grimsby, Daniel P. Howrigan, Kai Yuan, Sinéad B. Chapman, Christine R. Stevens, Samuel DeLuca, Megan Townsend, Joseph D. Buxbaum, Margaret Ann Pericak‐Vance, Shengying Qin, Dan Joseph Stein, Solomon Teferra, Ramnik J. Xavier, Hailiang Huang, , Benjamin M. Neale
The paper introduces a cost-efficient sequencing method called Blended Genome Exome (BGE) that combines low-coverage whole genome and high-coverage exome data, achieving >99% concordance with 30x WGS for variant imputation and rare coding variant calling.
bioRxiv · Apr 3, 2024 · PreprintGenomics