ClinicalTrials.gov
public full text
Public Domain
NGS-Based Genetic Approach to Identify Rare Lysosomal Storage Disorders in Patients With Neurological Manifestations
LYSO-NEXT uses genetic sequencing to identify undiagnosed lysosomal storage disorders in adults with unexplained neurological symptoms. Participants undergo whole-exome sequencing, which examines the protein-coding regions of DNA. A small subgroup with inconclusive results and strong clinical suspicion undergoes additional long-read sequencing to detect genetic changes that may be missed by the initial test. The study assesses the proportion of participants diagnosed with a lysosomal storage disorder and the diagnostic yield of each sequencing approach.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Exome sequencing to identify the genetic bases for lysosomal storage diseases of unknown etiology#1017709
- Diagnostic pathways in developmental disorders: a decade-apart comparison of two multicenter cohorts (2012–2022)#1251289
- Yield of Long-Read Genome Sequencing for Rare Disease Diagnosis in Short-Read Genome Negative Cases#1258112
- Whole-exome sequencing reveals novel and previously reported variants in genes linked to white matter pathology in neurodevelopmental disorders.#1204457
- Study of Universal Screening for Lynch Syndrome in Chinese Patients of Endometrial Cancer#876267
Record · ID 1246543
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive