O52: Diagnostic benefits of long-read genome sequencing for short-read negative rare disease cases

Next generation genome and exome sequencing technologies have revolutionized approaches to molecular diagnosis of patients with rare monogenic diseases. Depending on inclusion criteria and clinical indication, diagnostic rates typically vary between 10-50% of patients subjected to clinical or research-based testing. Traditional short-read technologies have relatively low error rates, the ability to generate high read-depth datasets, and are highly sensitive for identifying single nucleotide variants (SNVs) and small insertions and deletions (indels).

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Publication Details

Journal
Genetics in Medicine Open
Published
2025-01-01
DOI
https://doi.org/10.1016/j.gimo.2025.102479
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
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article

O52: Diagnostic benefits of long-read genome sequencing for short-read negative rare disease cases

Monica H. Wojcik, Médéric Jeanne, Malika Sud, Priyesh Rughani et al.
Genetics in Medicine Open
Genomics and Rare Diseases
article

O52: Diagnostic benefits of long-read genome sequencing for short-read negative rare disease cases

Monica H. Wojcik, Médéric Jeanne, Malika Sud, Priyesh Rughani, Sissel Juul, Miten Jain, Wanqing Shao, Bryan A. Leland, Piotr Sliz, Tina Truong, Scott Hickey, Mehmet Buğrahan Düz, Catherine A. Brownstein, Rebecca L. Stubbs, Alan H. Beggs, Kshitij Amar, Kenney Tuyen, Carly Tyer, Shirlee Shril, Luca Schierbaum, Casie A. Genetti, Pravata Kumar Pradhan, Wendy Chung, Friedhelm Hildebrandt, Talia Tzadikario, Nathaniel Edisis
article en

Abstract

Next generation genome and exome sequencing technologies have revolutionized approaches to molecular diagnosis of patients with rare monogenic diseases. Depending on inclusion criteria and clinical indication, diagnostic rates typically vary between 10-50% of patients subjected to clinical or research-based testing. Traditional short-read technologies have relatively low error rates, the ability to generate high read-depth datasets, and are highly sensitive for identifying single nucleotide variants (SNVs) and small insertions and deletions (indels).

Genetics in Medicine OpenVol. 3
Boston Children's Hospital (US), Boston Children's Museum (US), Oxford Nanopore Technologies (United Kingdom) (GB), Universidad del Noreste (MX)
Zero hunger
Openalex Percentile: Top 94%
Genomics and Rare Diseases
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