Evidence map›Paper›PMID 40216554›Full record

ArticleGenome research2025

Analytical validation of germline small variant detection using long-read HiFi genome sequencing.

Nathan Hammond, Linda Liao, Pun Wai Tong, Zena Ng, Thuy-Mi P Nguyen, Chandler Ho, Yao Yang, Stuart A Scott

Abstract readValidation Study
In one paragraph

Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nathan HammondClinical Genomics Laboratory, Stanford Medicine, Palo Alto, California 94304, USA.
Linda LiaoClinical Genomics Laboratory, Stanford Medicine, Palo Alto, California 94304, USA.
Pun Wai TongClinical Genomics Laboratory, Stanford Medicine, Palo Alto, California 94304, USA.
Zena NgClinical Genomics Laboratory, Stanford Medicine, Palo Alto, California 94304, USA.
Thuy-Mi P NguyenDepartment of Pathology, Stanford University, Stanford, California 94305, USA.
Chandler HoClinical Genomics Laboratory, Stanford Medicine, Palo Alto, California 94304, USA.
Yao YangClinical Genomics Laboratory, Stanford Medicine, Palo Alto, California 94304, USA.
Stuart A ScottClinical Genomics Laboratory, Stanford Medicine, Palo Alto, California 94304, USA; sascott@stanford.edu.ORCID 0000-0001-5720-1864

Funding

Stanford Mendelian Genomics Research CenterU01HG011762 · NHGRI · STANFORD UNIVERSITY · PI Jonathan Adam Bernstein, Stephen Montgomery · 2021 to 2026
$16.7M
NHGRI NIH HHS U01 HG011762
6 · The paper itself

Abstract

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.

Indexed as

Genome, HumanGerm-Line MutationHigh-Throughput Nucleotide SequencingPolymorphism, Single NucleotideSequence Analysis, DNAWhole Genome SequencingGenomicsHumansINDEL MutationReproducibility of Results

Identifiers

PMID40216554
PMCPMC12129021

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.