Systematic evaluation of long-read and short-read sequencing in neurological disorders diagnosis: a direct comparison study of 310 patients

Genetic neurological disorders are highly heterogeneous, and many are driven by complex variants that challenge short‑read genome sequencing (srGS). Long‑read genome sequencing (lrGS) has recently shown promise, but head‑to‑head evaluations are limited. A direct comparison study of srGS and lrGS was performed for 310 families with undiagnosed neurological disorders from the Hong Kong Genome Project to assess their diagnostic performance, technical capabilities and costing. Genome sequencing showed an overall diagnostic yield of 22.6% (n = 70/310, 77 variants). lrGS and srGS showed comparable variant detection rates at 92.2% (n = 71/77) and 96.1% (n = 74/77), respectively. lrGS solely confirmed three repeat expansions with phased methylation data and enhanced accuracy in two complex structural variants. srGS detected six variants in homopolymeric regions that were missed by lrGS. Costing analysis revealed a comparable unit cost per sample for srGS and lrGS with USD1,545.97 and USD1,580.00, respectively. This study demonstrated that srGS excels in detecting variants near homopolymers while lrGS offers better resolution for complex variants and enables the simultaneous analysis of methylation and phasing. Although lrGS is not yet capable of fully replacing srGS, we anticipate that the continued technical improvement would position lrGS as the first‑tier genomic test for neurological disorders.

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Journal
npj Genomic Medicine
Published
2026-06-29
DOI
https://doi.org/10.1038/s41525-026-00593-w
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Systematic evaluation of long-read and short-read sequencing in neurological disorders diagnosis: a direct comparison study of 310 patients

Amy H.Y. Tong, SF Pang, HM Luk, Shirley Pik Ying Hue et al.
npj Genomic Medicine
Genomics and Rare Diseases
article

Systematic evaluation of long-read and short-read sequencing in neurological disorders diagnosis: a direct comparison study of 310 patients

Amy H.Y. Tong, SF Pang, HM Luk, Shirley Pik Ying Hue, Helen Ying Fung Tam, Dicky Or, Claudia Ching Yan Chung, Hong Kong Genome Project, Wai Lap Wong, S H Chan, Jamie Sui Lam Kwok, Brian Hon Yin Chung, Gao Y, Annie Tsz Wai Chu, Chak Sing Lau, Denis Long Him Yeung, Lai Ting Leung, Nattily Sum Yin Tai, Carol Ching Fun Lau, Wei Ma, Anson Man Chun Xi, Steve Cheuk Yiu Yeung, Dream Lok Sze Chan, Shirley Sze Wing Cheng, Janice Kai Ning Wong, Raven Yan Wah Lee
article en

Abstract

Genetic neurological disorders are highly heterogeneous, and many are driven by complex variants that challenge short‑read genome sequencing (srGS). Long‑read genome sequencing (lrGS) has recently shown promise, but head‑to‑head evaluations are limited. A direct comparison study of srGS and lrGS was performed for 310 families with undiagnosed neurological disorders from the Hong Kong Genome Project to assess their diagnostic performance, technical capabilities and costing. Genome sequencing showed an overall diagnostic yield of 22.6% (n = 70/310, 77 variants). lrGS and srGS showed comparable variant detection rates at 92.2% (n = 71/77) and 96.1% (n = 74/77), respectively. lrGS solely confirmed three repeat expansions with phased methylation data and enhanced accuracy in two complex structural variants. srGS detected six variants in homopolymeric regions that were missed by lrGS. Costing analysis revealed a comparable unit cost per sample for srGS and lrGS with USD1,545.97 and USD1,580.00, respectively. This study demonstrated that srGS excels in detecting variants near homopolymers while lrGS offers better resolution for complex variants and enables the simultaneous analysis of methylation and phasing. Although lrGS is not yet capable of fully replacing srGS, we anticipate that the continued technical improvement would position lrGS as the first‑tier genomic test for neurological disorders.

npj Genomic Medicine
Chinese University of Hong Kong (HK), Queen Mary Hospital (CN), Duchess of Kent Children's Hospital (CN), Hong Kong College of Health Service Executives (CN), University of Hong Kong (HK)
Government of Jiangxi Province
Openalex Percentile: Top 8%
Genomics and Rare Diseases
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