Long-Read Sequencing to Improve Diagnosis Rate of Rare Diseases
|
By LabMedica International staff writers Posted on 28 Jan 2025 |

Rare genetic diseases affect one in every 10 people globally, yet around 50% of cases remain undiagnosed despite advances in genetic technology and testing. The diagnosis process can take several years, especially for children, due to the limitations of current clinical testing methods, such as short-read sequencing, which often misses crucial genomic information. Researchers are now focusing on long-read sequencing as a promising alternative to speed up diagnoses and provide a more comprehensive dataset, potentially eliminating the need for multiple specialized tests.
A study led by researchers at the University of California - Santa Cruz (Santa Cruz, CA, USA) explored the potential of long-read sequencing for diagnosing rare monogenic diseases, which are caused by disruptions in a single gene. The study, published in The American Journal of Human Genetics, found that long-read sequencing could drastically reduce the time for diagnosis from years to days and at a significantly lower cost. The study utilized nanopore sequencing, a technique developed at UCSC, which provided end-to-end reads of the patients’ genomes at approximately USD 1,000 per sample, with data analysis costing around USD 100.
The research involved analyzing 42 patients with rare diseases, some of whom had been diagnosed through traditional short-read methods, while others remained undiagnosed. The long-read sequencing approach provided a more exhaustive dataset, identifying additional rare candidate variants, long-range phasing, and methylation information that short-read sequencing could not capture. This method enabled the researchers to provide conclusive diagnoses for 11 of the 42 patients, including cases of congenital adrenal hypoplasia, disorders of sex development, and neurodevelopmental disorders. On average, long-read sequencing covered 280 genes with significant protein-coding regions that had been missed by short reads, making the diagnosis process faster, more comprehensive, and more cost-effective.
One of the primary advantages of long-read sequencing is its ability to read long stretches of DNA at once, which helps overcome the limitations of short-read sequencing, particularly in complex genomic regions. Furthermore, it provides phasing data, which helps clinicians understand which variants were inherited from each parent, offering valuable insights for genetic diagnoses. The study suggests that long-read sequencing has the potential to transform the diagnosis of rare genetic diseases, offering a more efficient and effective approach to patient care and treatment.
“Long read sequencing is likely the next best test for unsolved cases with either compelling variants in a single gene or a clear phenotype,” said Shloka Negi, a UC Santa Cruz BME Ph.D. student who is the paper’s first author. “It can serve as a single diagnostic test, reducing the need for multiple clinical visits and transforming a years-long diagnostic journey into a matter of hours.”
Latest Pathology News
- FDA Clears AI Digital Pathology Tool for Breast Cancer Risk Stratification
- New AI Tool Reveals Hidden Genetic Signals in Routine H&E Slides
- AI System Analyzes Routine Pathology Slides to Predict Cancer Outcomes
- New Tissue Mapping Approach Identifies High-Risk Form of Diabetic Kidney Disease
- Multimodal AI Tool Predicts Genetic Alterations to Guide Breast Cancer Treatment
- Interpretable AI Reveals Hidden Cellular Features from Microscopy Images
- Tumor Immune Structure Predicts Response to Immunotherapy in Melanoma
- Plug-and-Play AI Pathology System Classifies Multiple Cancers from Few Slides
- AI-Based Assays Support Risk Stratification in Prostate and Breast Cancer
- AI Pathology Model Predicts Immunotherapy Response in Lung Cancer
- Study Reveals Moleclar Mechanism Driving Aggressive Skin Cancer
- AI Precision Tests Deliver Cancer Risk Insights from Routine H&E Slides
- Collaboration Applies AI Pathology to Predict Response to Antibody-Drug Conjugates
- Biomarker Predicts Immunotherapy Response and Prognosis in Colorectal Cancer
- AI Improves Completeness of Complex Cancer Pathology Reports
- AI Tool Predicts Chemotherapy Response in Small Cell Lung Cancer
Channels
Clinical Chemistry
view channel
Ultrasensitive Test Detects Key Biomarker of Frontotemporal Dementia Subtype
Dementia affects more than 57 million people worldwide and is projected to nearly double within two decades, straining health systems and families. While biomarkers now enable accurate identification of... Read more
Routine Blood Tests Years Before Pregnancy Could Identify Preeclampsia Risk
High blood pressure during pregnancy is common and can progress to pre-eclampsia, making close monitoring at antenatal visits essential. However, most risk assessment begins only after pregnancy has started.... Read moreMolecular Diagnostics
view channel
Liquid Biopsy Biomarkers Distinguish Inflammatory Breast Cancer and Support Monitoring
Inflammatory breast cancer is among the most aggressive forms of breast malignancy and remains challenging to diagnose and monitor. Obtaining tumor tissue can be difficult, and standard genome and RNA... Read more
Blood Test Maps Tumor Microenvironment to Predict Immunotherapy Response
Immunotherapy has transformed cancer care, yet durable benefit remains limited to a subset of patients, and clinicians still lack reliable tools to predict response before treatment begins.... Read more
Multiplex Respiratory Panel Integrates Automated Extraction to Streamline High-Volume Testing
Respiratory infections drive heavy testing volumes in clinical laboratories, where accurate, timely results across multiple pathogens are essential. Many labs are seeking to streamline workflows and increase... Read moreHematology
view channel
Advanced CBC-Derived Indices Integrated into Hematology Platforms
Diatron, a STRATEC brand, has introduced six advanced hematological indices on its Aquila, Aquarius 3, and Abacus 5 hematology analyzers. The new Research Use Only (RUO) indices include Neutrophil-to-Lymphocyte... Read more
Blood Test Enables Early Detection of Multiple Myeloma Relapse
Bone marrow biopsies remain central to diagnosing and monitoring multiple myeloma, yet the procedure is painful, invasive, and often repeated over time. Older patients—who represent most new cases—can... Read moreImmunology
view channel
Point-of-Care Tests Could Expand Access to Mpox Diagnosis
Mpox outbreaks in non-endemic regions have underscored the need for rapid, accessible diagnostics to limit transmission. Polymerase chain reaction (PCR) remains the clinical reference, yet it depends on... Read more
T-Cell Senescence Profiling May Predict CAR T Responses
Chimeric antigen receptor (CAR) T-cell therapy can deliver striking, durable remissions, yet many patients experience minimal or no benefit. The quality of patient-derived cytotoxic T lymphocytes used... Read moreMicrobiology
view channel
Rapid Antigen Biosensor Detects Active Tuberculosis in One Hour
Tuberculosis remains a major global health challenge and continues to drive significant morbidity and mortality. The World Health Organization’s 2024 global report cites it as the leading cause of death... Read more
Oral–Gut Microbiome Signatures Identify Early Gastric Cancer
Early detection of gastric cancer could be advanced by scalable screening strategies using minimally invasive sampling. Saliva collection is noninvasive and cost-effective, supporting wider adoption... Read moreTechnology
view channel
Tumor-on-a-Chip Platform Models Pancreatic Cancer Treatment Response
Pancreatic cancer remains one of the hardest malignancies to treat because tumors are embedded within a dense microenvironment that shapes growth and therapy response. Standard laboratory models often... Read more
New Platform Captures Extracellular Vesicles for Early Cancer Detection
Early diagnosis remains the most effective way to reduce cancer mortality, yet many screening tools miss disease at its earliest stages. Biomarkers shed by tumors into blood and other fluids can be scarce... Read moreIndustry
view channel
Roche to Acquire PathAI for Up to $1.05 Billion to Strengthen AI Diagnostics Portfolio
Roche has entered into a definitive merger agreement to acquire PathAI, a company focused on digital pathology and artificial intelligence for pathology laboratories and the biopharma industry.... Read more








