Clinical Sites

The purpose of this study is to: (a) define novel homogeneous groups of patients with leukodystrophies and work toward finding the cause of these disorders; (b) assess the validity and utility of next-generation sequencing in the diagnosis of leukodystrophies; (c) establish disease mechanisms in selected known leukodystrophies; (d) track current care and natural history of these patients to define the longitudinal course and determinants of outcomes in these disorders; and (e) contacting subjects with specific diagnoses (or lack thereof) with information about other research studies or clinical programs that may be beneficial.

This study seeks to query the Electronic Health Record (EHR) at participating institutions in an automated fashion in order to development a large-scale library of clinically pertinent natural history data for individuals with a confirmed diagnosis of leukodystrophy. Automated data extraction techniques will be supplemented by traditional/manual chart abstraction approaches to ensure data integrity. Data collection and analysis methodologies will undergo face validation, inter-rater reliability, reproducibility, longitudinal stability, internal validation and construct validity under the careful oversight of the GLIA-CTN Data Integration Core (DIC) based at the Children's Hospital of Philadelphia.

The purpose of this study is to: (a) define novel homogeneous groups of patients with leukodystrophies and work toward finding the cause of these disorders; (b) assess the validity and utility of next-generation sequencing in the diagnosis of leukodystrophies; (c) establish disease mechanisms in selected known leukodystrophies; (d) track current care and natural history of these patients to define the longitudinal course and determinants of outcomes in these disorders; and (e) contacting subjects with specific diagnoses (or lack thereof) with information about other research studies or clinical programs that may be beneficial.

This study seeks to query the Electronic Health Record (EHR) at participating institutions in an automated fashion in order to development a large-scale library of clinically pertinent natural history data for individuals with a confirmed diagnosis of leukodystrophy. Automated data extraction techniques will be supplemented by traditional/manual chart abstraction approaches to ensure data integrity. Data collection and analysis methodologies will undergo face validation, inter-rater reliability, reproducibility, longitudinal stability, internal validation and construct validity under the careful oversight of the GLIA-CTN Data Integration Core (DIC) based at the Children's Hospital of Philadelphia.

The goal of this clinical project is to create a portfolio of disease-specific outcome assessments to facilitate design and execution of future therapeutic trials for adults with AMN. Specifically, investigators will determine the ability of a novel AMN rating scale to measure function, including a comparison of the trajectory between this rating scale and the Patient Reported Outcome (PRO) data obtained via RDCRN Protocol No. 8501. Finally, investigators will assess the rate of change in quantitative ataxia measures using force plate technology, and then compare this to wearable devices in enrolled individuals.

The primary objective of this research study is to identify and validate novel biomarkers in CSF, and to establish their correlation to clinical features and outcomes in specific leukodystrophies; for example, we propose to explore known protein biomarkers in AGS and AxD, including GFAP, NFL, and IP10, as well as candidate biomarkers such as inflammatory proteins including cytokines and chemokines, structural proteins, cell surface proteins, and markers of myelination and neuronal function. The study also seeks to characterize the stability of known and novel biomarkers under different shipping and storage conditions, which will allow investigators to explore the feasibility of multi-center biomarker collection procedures, with centralized processing and storage, in preparation for similar approaches in the context of future clinical trials for various leukodystrophies. Assay validity will be investigated using both intra- and inter-assay measurements.

The purpose of this study is to: (a) define novel homogeneous groups of patients with leukodystrophies and work toward finding the cause of these disorders; (b) assess the validity and utility of next-generation sequencing in the diagnosis of leukodystrophies; (c) establish disease mechanisms in selected known leukodystrophies; (d) track current care and natural history of these patients to define the longitudinal course and determinants of outcomes in these disorders; and (e) contacting subjects with specific diagnoses (or lack thereof) with information about other research studies or clinical programs that may be beneficial.

This study seeks to query the Electronic Health Record (EHR) at participating institutions in an automated fashion in order to development a large-scale library of clinically pertinent natural history data for individuals with a confirmed diagnosis of leukodystrophy. Automated data extraction techniques will be supplemented by traditional/manual chart abstraction approaches to ensure data integrity. Data collection and analysis methodologies will undergo face validation, inter-rater reliability, reproducibility, longitudinal stability, internal validation and construct validity under the careful oversight of the GLIA-CTN Data Integration Core (DIC) based at the Children's Hospital of Philadelphia.

The purpose of this study is to: (a) define novel homogeneous groups of patients with leukodystrophies and work toward finding the cause of these disorders; (b) assess the validity and utility of next-generation sequencing in the diagnosis of leukodystrophies; (c) establish disease mechanisms in selected known leukodystrophies; (d) track current care and natural history of these patients to define the longitudinal course and determinants of outcomes in these disorders; and (e) contacting subjects with specific diagnoses (or lack thereof) with information about other research studies or clinical programs that may be beneficial.

This study seeks to query the Electronic Health Record (EHR) at participating institutions in an automated fashion in order to development a large-scale library of clinically pertinent natural history data for individuals with a confirmed diagnosis of leukodystrophy. Automated data extraction techniques will be supplemented by traditional/manual chart abstraction approaches to ensure data integrity. Data collection and analysis methodologies will undergo face validation, inter-rater reliability, reproducibility, longitudinal stability, internal validation and construct validity under the careful oversight of the GLIA-CTN Data Integration Core (DIC) based at the Children's Hospital of Philadelphia.

The purpose of this study is to: (a) define novel homogeneous groups of patients with leukodystrophies and work toward finding the cause of these disorders; (b) assess the validity and utility of next-generation sequencing in the diagnosis of leukodystrophies; (c) establish disease mechanisms in selected known leukodystrophies; (d) track current care and natural history of these patients to define the longitudinal course and determinants of outcomes in these disorders; and (e) contacting subjects with specific diagnoses (or lack thereof) with information about other research studies or clinical programs that may be beneficial.

This study seeks to query the Electronic Health Record (EHR) at participating institutions in an automated fashion in order to development a large-scale library of clinically pertinent natural history data for individuals with a confirmed diagnosis of leukodystrophy. Automated data extraction techniques will be supplemented by traditional/manual chart abstraction approaches to ensure data integrity. Data collection and analysis methodologies will undergo face validation, inter-rater reliability, reproducibility, longitudinal stability, internal validation and construct validity under the careful oversight of the GLIA-CTN Data Integration Core (DIC) based at the Children's Hospital of Philadelphia.

The goal of this clinical project is to create a portfolio of disease-specific outcome assessments to facilitate design and execution of future therapeutic trials for adults with AMN. Specifically, investigators will determine the ability of a novel AMN rating scale to measure function, including a comparison of the trajectory between this rating scale and the Patient Reported Outcome (PRO) data obtained via RDCRN Protocol No. 8501. Finally, investigators will assess the rate of change in quantitative ataxia measures using force plate technology, and then compare this to wearable devices in enrolled individuals.

The purpose of this study is to: (a) define novel homogeneous groups of patients with leukodystrophies and work toward finding the cause of these disorders; (b) assess the validity and utility of next-generation sequencing in the diagnosis of leukodystrophies; (c) establish disease mechanisms in selected known leukodystrophies; (d) track current care and natural history of these patients to define the longitudinal course and determinants of outcomes in these disorders; and (e) contacting subjects with specific diagnoses (or lack thereof) with information about other research studies or clinical programs that may be beneficial.

This study seeks to query the Electronic Health Record (EHR) at participating institutions in an automated fashion in order to development a large-scale library of clinically pertinent natural history data for individuals with a confirmed diagnosis of leukodystrophy. Automated data extraction techniques will be supplemented by traditional/manual chart abstraction approaches to ensure data integrity. Data collection and analysis methodologies will undergo face validation, inter-rater reliability, reproducibility, longitudinal stability, internal validation and construct validity under the careful oversight of the GLIA-CTN Data Integration Core (DIC) based at the Children's Hospital of Philadelphia.

The purpose of this study is to: (a) define novel homogeneous groups of patients with leukodystrophies and work toward finding the cause of these disorders; (b) assess the validity and utility of next-generation sequencing in the diagnosis of leukodystrophies; (c) establish disease mechanisms in selected known leukodystrophies; (d) track current care and natural history of these patients to define the longitudinal course and determinants of outcomes in these disorders; and (e) contacting subjects with specific diagnoses (or lack thereof) with information about other research studies or clinical programs that may be beneficial.

This study seeks to query the Electronic Health Record (EHR) at participating institutions in an automated fashion in order to development a large-scale library of clinically pertinent natural history data for individuals with a confirmed diagnosis of leukodystrophy. Automated data extraction techniques will be supplemented by traditional/manual chart abstraction approaches to ensure data integrity. Data collection and analysis methodologies will undergo face validation, inter-rater reliability, reproducibility, longitudinal stability, internal validation and construct validity under the careful oversight of the GLIA-CTN Data Integration Core (DIC) based at the Children's Hospital of Philadelphia.

The goal of this clinical project is to create a portfolio of disease-specific outcome assessments to facilitate design and execution of future therapeutic trials for adults with AMN. Specifically, investigators will determine the ability of a novel AMN rating scale to measure function, including a comparison of the trajectory between this rating scale and the Patient Reported Outcome (PRO) data obtained via RDCRN Protocol No. 8501. Finally, investigators will assess the rate of change in quantitative ataxia measures using force plate technology, and then compare this to wearable devices in enrolled individuals.

The purpose of this study is to: (a) define novel homogeneous groups of patients with leukodystrophies and work toward finding the cause of these disorders; (b) assess the validity and utility of next-generation sequencing in the diagnosis of leukodystrophies; (c) establish disease mechanisms in selected known leukodystrophies; (d) track current care and natural history of these patients to define the longitudinal course and determinants of outcomes in these disorders; and (e) contacting subjects with specific diagnoses (or lack thereof) with information about other research studies or clinical programs that may be beneficial.

This study seeks to query the Electronic Health Record (EHR) at participating institutions in an automated fashion in order to development a large-scale library of clinically pertinent natural history data for individuals with a confirmed diagnosis of leukodystrophy. Automated data extraction techniques will be supplemented by traditional/manual chart abstraction approaches to ensure data integrity. Data collection and analysis methodologies will undergo face validation, inter-rater reliability, reproducibility, longitudinal stability, internal validation and construct validity under the careful oversight of the GLIA-CTN Data Integration Core (DIC) based at the Children's Hospital of Philadelphia.