Whole-genome variant detection in long-read sequencing data from ultralow input patient samples

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Authors: Katherine Wang, Cera J. Aex, Hayan Lee, Lucas Finot, Kevin Zhu, Julianna R. Chang, Aaron M. Horning, William J. Rowell, Hui Li, Sarah B. Kingan, Michael Snyder, Graham Scott Erwin
Cited by: 1

Abstract

Long-read sequencing provides a more complete view of the genome than short-read sequencing, with improved detection of structural variants, tandem repeats, and small variants (single nucleotide variants and insertions and deletions) in difficult-to-map regions. One limitation of long-read sequencing has been high input DNA requirements, with several micrograms required per sample. Here, we evaluate two methods of amplification-based long-read, whole-genome sequencing: ultra-low input HiFi (ULI-HiFi) sequencing and droplet multiple displacement amplification (dMDA) sequencing. When benchmarked against the Genome in a Bottle reference set (NA24385), we observe high precision and recall of single nucleotide variants (SNVs) with ULI-HiFi compared to the dMDA-amplified samples (F1 scores for SNVs of 99.82% for ULI-HiFi compared to 89.46% for dMDA). Across a catalog of >1.6 million tandem repeats (TRs), ULI-HiFi achieves 90.4% perfect concordance and 98.9% accuracy when allowing for single motif differences. ULI-HiFi also illuminates medically-important genes that were poorly mapped by short-read sequencing. We further apply ULI-HiFi to analyze a normal, polyp, and adenocarcinoma sample from a patient with familial adenomatous polyposis (FAP), a hereditary form of colorectal cancer. We identify a TR that progressively expanded in length from normal to polyp to adenocarcinoma. This repeat is located in the 5' UTR of LIMD1, a reported tumor suppressor. Reporter assays reveal significantly reduced expression in colorectal cancer cell lines with increasing repeat length in the LIMD1 5' UTR. We conclude that ULI-HiFi improves the characterization of genetic variants in dark regions of genomes from patient samples, enabling a better understanding of human disease.

Fields of Study & Subjects

Cancer Genomics and Diagnostics Genomics and Rare Diseases Genomic variations and chromosomal abnormalities

Publication details

Journal / source
Genome Research
Publisher
Cold Spring Harbor Laboratory
Publication date
28 May 2026
Language
EN
Document type
Preprint