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
- Roche Launches Automated Test to Support Mesothelioma Differential Diagnosis
- Digital Pathology Test Stratifies Recurrence Risk in Early Breast Cancer
- AI Pathology Tool Predicts DNA Repair Deficiency in High-Grade Serous Ovarian Cancer
- AI Tissue Analysis May Help Identify Missed Precancerous Colon Polyps
- AI Pre-Screening Helps Identify Lung Cancer Cases for Additional Biomarker Testing
- AI Pathology Platform Targets Workflow Delays and Molecular Test Failures
- Updated Digital Pathology Platform Expands AI Integration for Cancer Diagnosis
- Molecular Testing Refines Barrett’s Esophagus Progression Risk Beyond Biopsy Findings
- AI Histopathology Tool Distinguishes Ewing Sarcoma for Diagnosis
- Rapid Mass Spectrometry Test May Aid Glioma Margin Decisions
- Genomic Classifier Predicts Benefit From Adding Hormone Therapy to Salvage Prostate Radiation
- Multimodal AI Supports Prostate Cancer Risk Assessment Across Diverse Cohorts
- New AI Model Maps Where Glioblastoma Could Return After Surgery
- Simple Test Could Reduce the Need for Invasive Uterine Cancer Checks
- Tumor Blood Vessel Features May Help Predict Colorectal Cancer Survival
- Multimodal AI Improves Breast Cancer Recurrence Risk Prediction Beyond Standard Genomic Testing
Channels
Clinical Chemistry
view channel
Blood Proteins Linked to Mortality Risk and Biological Aging Across Organ Systems
Older adults of the same chronological age can differ markedly in health, chronic disease burden, and resilience. Biological age aims to capture these differences by reflecting how rapidly the body and... Read more
Two-Step Blood Test Improves Specificity for Alzheimer’s Diagnosis
Early Alzheimer’s disease can be difficult to identify before more severe cognitive symptoms emerge. Blood tests measuring phosphorylated tau protein p-tau217 may help detect disease-related changes, but... Read moreMolecular Diagnostics
view channel
Spinal Fluid Liquid Biopsy May Help Clarify Uncertain Brain Tumor Findings
Brain and spinal cord tumors can be difficult to diagnose when imaging is inconclusive or tissue biopsy cannot be performed safely. MRI changes may reflect cancer, inflammation, or treatment-related effects,... Read more
New NGS Panel Detects AML Fusions at MRD-Level Sensitivity
Genomic testing for acute myeloid leukemia (AML) can be limited by incomplete coverage of disease-associated alterations. Fusion events may remain undetected when workflows rely on multiple assays or lack... Read more
Updated Framework Guides Assessment of Actionable Cancer Biomarkers
Cancer care increasingly relies on molecular testing to guide targeted treatment selection. Broader use of tumor sequencing has expanded the volume and diversity of biomarker data available to oncologists,... Read more
Genomic Tissue Test Predicts Metastasis and Abiraterone Benefit in High-Risk Prostate Cancer
Prostate cancer is the most common cancer in men, affecting more than 1 million men worldwide in 2013. Its clinical course varies substantially between patients, complicating efforts to identify those... Read moreHematology
view channel
New Risk-Stratification Tool Predicts Relapse After Blinatumomab in Childhood ALL
Acute lymphoblastic leukemia in children and young people requires careful assessment of relapse risk, particularly as treatment approaches move beyond standard chemotherapy. Traditional relapse predictors... Read more
New Myelofibrosis Guidelines Recommend Expanded Genetic Testing at Diagnosis
Myelofibrosis is a rare, life-threatening blood cancer affecting up to six per 100,000 people. The disease causes scarring in the bone marrow, limiting the production of healthy blood cells and potentially... Read moreImmunology
view channel
Immune and Inflammatory Markers May Help Assess CAR T-Cell Complication Risk
Cytokine release syndrome (CRS) can occur after chimeric antigen receptor (CAR) T-cell therapy in patients with autoimmune disease. Identifying which patients are more likely to develop this complication... Read more
COVID-19 and Flu Combo Test Launches With FDA Clearance
Overlapping symptoms of COVID-19 and influenza can create diagnostic uncertainty, particularly in urgent and point-of-care settings. Rapid differentiation from a single specimen can streamline triage and... Read moreMicrobiology
view channel
Decentralized Laboratory Network Improves Detection of Viral Hemorrhagic Fevers in Guinea
Viral hemorrhagic fevers remain a major diagnostic challenge in West Africa because their early symptoms can resemble those of other febrile illnesses. The 2014–2016 Ebola epidemic underscored the need... Read more
Molecular Panel Gains WHO Emergency Use Listing to Support Ebola Outbreak Response
The ongoing Ebola Bundibugyo outbreak in the Democratic Republic of the Congo and neighboring countries has become one of the largest outbreaks of this Ebola virus species recorded to date.... Read moreTechnology
view channel
Compact PCR Thermal Cycler Launches for Routine Molecular Laboratory Workflows
Molecular laboratories rely on nucleic acid analysis to detect molecular information accurately and reproducibly across a wide range of applications. Supporting these routine workflows, a newly launched... Read more
New AI-Powered System Aims to Streamline Laboratory and Manufacturing Workflows
Scientific laboratories supporting drug development, biotechnology, and materials research increasingly rely on coordinated digital workflows to move data, samples, and activities across teams.... Read moreIndustry
view channel
Collaboration Brings Tumor-Informed MRD Monitoring to Breast Cancer Care in Abu Dhabi
For many patients, cancer treatment does not eliminate the risk of recurrence, which may occur months or years later and become harder to treat after spreading. Recurrence is often detected only after... Read more







