bioRxivJClub
An end-to-end in silico framework for truth-based validation and regression testing of clinical genome sequencing pipelines, from simulated reads to reportable findings
bioRxiv · · Preprint · Open access
Dvorsky, Komarkova + 3 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
An end-to-end in silico framework for clinical genome pipelines achieved 98.3% report inclusion of 115/117 pathogenic and likely pathogenic variants in GIAB HG002.
- Why it matters: Pipeline updates require proportionate revalidation, but existing in silico guidance rarely tests variant interpretation through to reportable decisions, leaving report specificity unmeasured.
- What they did: The framework plants ClinGen-curated pathogenic/benign variants (and optional synthetic ones) into the GIAB HG002 germline background, simulates reads, runs secondary/tertiary stages as black boxes, and compares truth at call-set and report levels.
- The result: For nf-core/sarek with DeepVariant and ACMG/AMP classifier BIAS-2015 across five test sets (243 variants), report sensitivity was 98.3% and it withheld 106/126 non-reportable variants (84.1%), with false reports mainly linked to diploid calling of male chromosome X.
The findingWhy it mattersWhat they didThe result
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