P553: How much should I sequence? A validated mathematical model for determining sequencing depth targets in clinical germline NGS testing*

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Authors: Francisco M. De La Vega
Cited by: 0

Abstract

Clinical laboratories developing germline NGS tests repeatedly face the same question: how much sequencing depth is sufficient to ensure reliable variant calling across regions of interest (ROI) while meeting QC thresholds? In practice, decisions about per-sample depth and flow-cell pooling are often guided by tradition rather than quantitative analysis, leading to trial-and-error, wasted flow cells, and delayed launches. Here we present DeepSeq, a specification-driven mathematical framework that determines (i) the locus-level depth required for accurate heterozygote detection, (ii) the mean coverage needed to achieve defined coverage-assurance criteria across an ROI, and (iii) the optimal multiplexing level that satisfies these targets while limiting QC failures to a predefined rate.

Fields of Study & Subjects

Genomics and Rare Diseases Genomics and Phylogenetic Studies Cancer Genomics and Diagnostics

Publication details

Journal / source
Genetics in Medicine Open
Volume
4
Pages
104044–104044
Publication date
1 January 2026
Language
EN