PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 10, 2026Genome biology2 citationsOpen Access

Benchmarking of sequencing technologies defines optimal strategies for genetic variants detection in a human genome

RERobert EveleighSRSarah J. ReilingJGJosé Héctor Gálvez

Key Points

  • To identify the optimal sequencing technologies and strategies for detecting genetic variants in human genomes.
  • Systematic comparison of short-read and long-read sequencing technologies.
  • Evaluation of variant calling pipelines for small and structural variants.
  • Coverage analyses to determine accuracy saturation of each sequencing technology.
  • Short-read sequencing achieved high accuracy for single-nucleotide variants (SNVs) but struggled with structural variants.
  • Long-read platforms showed superior capabilities in detecting structural variants, particularly in complex regions.
  • PacBio Revio with DeepVariant offered the highest accuracy for SNVs and indels across the genome.

Abstract

Advances in sequencing technologies continue to improve the resolution and completeness with which human genetic variation can be characterized. Short-read sequencing remains widely used due to its high base accuracy, throughput, and cost efficiency; however, its limited ability to resolve repetitive and structurally complex regions has accelerated adoption of long-read sequencing platforms, including those from Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT). We systematically compared sequencing technologies and variant calling pipelines for small variants and structural variants across diverse genomic contexts and sequencing depths. Short-read sequencing combined with DRAGEN achieved high accuracy for single-nucleotide variants (SNVs) and indels in well-mapped and moderately complex regions but showed reduced sensitivity and completeness for structural variant detection. In contrast, long-read sequencing platforms demonstrated clear advantages in detecting structural variants and resolving small variants in difficult genomic regions, although challenges remain in specific indel-prone sequence contexts. Among long-read pipelines, PacBio Revio with DeepVariant achieved the highest SNV and indel accuracy genome-wide, while ONT R10 with DeepVariant performed particularly well in clinically relevant loci. Structural variant detection was dominated by long-read optimized callers, with SVIM and Sawfish performing best for PacBio, and Sniffles2 and CuteSV2 for ONT, consistently outperforming short-read-based methods across variant classes and sizes. Coverage analyses indicated that long-read sequencing reached accuracy saturation between 20 × and 45 × , whereas short-read sequencing required more than 60 × coverage to approach maximal genome completeness. These results provide practical guidance for platform and pipeline selection. Long-read sequencing enables more comprehensive detection and resolution of structural variants and variation in complex genomic regions, while short-read sequencing remains a cost-effective and scalable solution for high-throughput genotyping and clinically focused applications.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Eveleigh et al. (2026) studied this question.

synapsesocial.com/papers/69d895d86c1944d70ce06fa2https://doi.org/10.1186/s13059-026-04048-4
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Hitchhiker Guide to Structural Variant Calling: A Comprehensive Benchmark Through Different Sequencing Technologies2025 · 4 citations
  2. 2Long-Read Sequencing and Structural Variant Detection: Unlocking the Hidden Genome in Rare Genetic Disorders2025
  3. 3Bioinformatic pipeline for analysing variations in long-reads reconstructed human genomes v12024
  4. 4Comparative evaluation of SNVs, indels, and structural variations detected with short- and long-read sequencing data2024 · 56 citations
  5. 5Comprehensive assessment of long-read sequencing platforms and calling algorithms for detection of copy number variation2024 · 2 citations