medRxivGenetic & Genomic MedicinePreprint
Low-cost rare variant detection for population scale genetic screening
Mads Cort NielseniD, Caroline M. Junker MentzeliD, Ulrik Kristoffer StoltzeiD, Christian M. HageniD, Marie Bækvad-Hansen, Anna ByrjalseniD, Lone Sunde, Alberte Aspaas LundquistiD, Allan Meldgaard LundiD, J Tfelt-Hansen, Tania Nicole MasmasiD, Erik Soerensen, Ole Birger PederseniD, Christian ErikstrupiD, Sisse Rye OstrowskiiD, Henrik HjalgrimiD, Mette NyegaardiD, Kjeld SchmiegelowiD, Thomas van Overeem HanseniD, Karin WadtiD, Jonas Bybjerg‐GrauholmiD, Simon RasmusseniD
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Abstract
Genetic screening for rare pathogenic variants facilitates early detection and prevention of disease manifestations in medically actionable disorders, but sequencing costs limit widespread use. We introduce DoBSeq, a low-cost, high-throughput screening framework for detecting rare, single-nucleotide variants and indels. The framework includes: extraction of DNA from dried blood spots used in neonatal screening, automation of two-dimensional DNA pooling and library preparation, high-depth targeted sequencing using a 582-gene custom panel, and a probabilistic model to assign rare pathogenic variants to individuals. Benchmarked against whole-genome sequencing across 582 genes in a batch of 576 individuals, the framework detected 95% of all variants and recovered all clinically relevant pathogenic single-nucleotide variants in American College of Medical Genetics and Genomics (ACMG) actionable genes. Applied to 2304 anonymised blood donors, it yielded variant frequencies consistent with existing population estimates. At a sample cost of 29 USD, including 11 USD running costs, this framework provides a cost-efficient approach to population-level genetic screening.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
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