RT Journal
A1 Hammond, Nathan
A1 Liao, Linda
A1 Tong, Pun Wai
A1 Ng, Zena
A1 Nguyen, Thuy-Mi P.
A1 Ho, Chandler
A1 Yang, Yao
A1 Scott, Stuart A.
T1 Analytical validation of germline small variant detection using long-read HiFi genome sequencing
JF Genome Research 
JO Genome Research 
YR 2025 
FD June 01 
VO 35 
IS 6 
SP 1391 
OP 1399 
DO 10.1101/gr.278836.123 
UL http://genome.cshlp.org/content/35/6/1391.abstract 
AB Long-read sequencing has the capacity to interrogate difficult genomic regions and phase variants; however, short-read sequencing is more commonly implemented for clinical testing. Given the advances in long-read HiFi sequencing chemistry and variant calling, we analytically validated this technology for small variant detection (single nucleotide variants, insertions/deletions; SNVs/indels; <50 bp). HiFi genome sequencing was performed on DNA from reference materials and clinical specimen types, and accuracy results were compared to short-read genome sequencing data. HiFi genome sequencing recall and precision across Genome in a Bottle (GIAB)-defined non-difficult and difficult genomic regions (high confidence) for SNVs are >99.9% and >99.7%, respectively, and for indels are >99.8% and >99.1%, respectively. Moreover, HiFi genome sequencing outperforms short-read genome sequencing on overall SNV/indel F1-score accuracy at all paired sequencing depths, which are further stratified across 100 total GIAB-defined genomic regions for a comprehensive evaluation of performance. Of note, HiFi genome sequencing F1-scores for SNVs and indels surpass 99% at ∼15× and ∼25×, respectively. In addition, high confidence small variant concordance across all HiFi genome sequencing reproducibility assessments (two specimens, three independent sequencing data sets) are >99.8% for SNVs and >98.6% for indels, and average high confidence small variant concordance between paired blood, saliva, and swab specimens are all >99.8%. Taken together, these data underscore that long-read HiFi genome sequencing detection of SNVs and indels is very accurate and robust, which supports the implementation of this technology for clinical diagnostic testing.