Abstract
Mosaic mutations in normal tissues occur at low variant allele fractions (VAFs), complicating detection. To benchmark strategies, the SMaHT Network created a cell-line mixture (1:49) and produced ultra-deep whole-genome sequencing using short and long reads (five centers, 180–500× each). We assembled a reference of 44,008 mosaic SNVs and 2,059 Indels, cross-validation between platforms to expose limits of short-read analysis. We also partitioned the genome by mappability to examine the impact of genomic context, added a negative reference set, and accounted for culture-derived mutations. When seven institutions applied eleven algorithms to mixture data, call sets were largely discordant across tools and replicates, partly reflecting stochastic presence of low-VAF mutations in biological replicants. For >2% VAF SNVs, sensitivity and precision approached ∼80% at ≥300×, with little gain from additional sequencing. This work provides a comprehensive framework for reliable detection of low-VAF mutations in non-cancer tissues and a valuable resource for the community.
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Comprehensive benchmarking of somatic single-nucleotide variant and indel detection at ultra-low allele fractions using short- and long-read data
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- ORCID record for Yoo-Jin Jiny Ha
- For correspondence: yoojinha{at}hanyang.ac.kr kardlie{at}broadinstitute.org rfulton22{at}wustl.edu sgermer{at}nygenome.org agibbs{at}bcm.edu gmarth{at}genetics.utah.edu James.Bennett{at}seattlechildrens.org peter_park{at}hms.harvard.edu
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- For correspondence: yoojinha{at}hanyang.ac.kr kardlie{at}broadinstitute.org rfulton22{at}wustl.edu sgermer{at}nygenome.org agibbs{at}bcm.edu gmarth{at}genetics.utah.edu James.Bennett{at}seattlechildrens.org peter_park{at}hms.harvard.edu
Abstract
Mosaic mutations in normal tissues occur at low variant allele fractions (VAFs), complicating detection. To benchmark strategies, the SMaHT Network created a cell-line mixture (1:49) and produced ultra-deep whole-genome sequencing using short and long reads (five centers, 180–500× each). We assembled a reference of 44,008 mosaic SNVs and 2,059 Indels, cross-validation between platforms to expose limits of short-read analysis. We also partitioned the genome by mappability to examine the impact of genomic context, added a negative reference set, and accounted for culture-derived mutations. When seven institutions applied eleven algorithms to mixture data, call sets were largely discordant across tools and replicates, partly reflecting stochastic presence of low-VAF mutations in biological replicants. For >2% VAF SNVs, sensitivity and precision approached ∼80% at ≥300×, with little gain from additional sequencing. This work provides a comprehensive framework for reliable detection of low-VAF mutations in non-cancer tissues and a valuable resource for the community.
Competing Interest Statement
Peter Park a member of the Scientific Advisory Board for Bioskryb Genomics. James Bennett is a consultant for Mosaica Medicines. Andrew Stergachis is a co-inventor on a patent relating to the Fiber-seq and DAF-seq methods.
Funder Information Declared
Subject Area
- Biochemistry (17691)
- Bioengineering (13892)
- Bioinformatics (41937)
- Biophysics (21452)
- Cancer Biology (18588)
- Cell Biology (25504)
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- Developmental Biology (13378)
- Ecology (19899)
- Epidemiology (2067)
- Evolutionary Biology (24320)
- Genetics (15609)
- Genomics (22506)
- Immunology (17736)
- Microbiology (40394)
- Molecular Biology (17181)
- Neuroscience (88605)
- Paleontology (666)
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- Pharmacology and Toxicology (4824)
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