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LeukoSEQ: Whole Genome Sequencing as a First-Line Diagnostic Tool for Leukodystrophies

LeukoSEQ: Whole Genome Sequencing as a First-Line Diagnostic Tool for Leukodystrophies

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02699190
Enrollment
236
Registered
2016-03-04
Start date
2017-01-06
Completion date
2024-10-31
Last updated
2025-11-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

4H Syndrome, ADLD, Adrenoleukodystrophy, Adrenomyeloneuropathy, AGS, Aicardi Goutieres Syndrome, ALD, ALD (Adrenoleukodystrophy), Alexander Disease, Alexanders Leukodystrophy, Allan-Herndon-Dudley Syndrome, ALSP, AMN, AxD, BPAN, Cadasil, Canavan Disease, Cerebrotendinous Xanthomatoses, Charcot-Marie-Tooth, CMT, Cockayne Syndrome, CSF1R Gene Mutation, CTX, GALC Deficiency, Gangliosidoses, Globoid Leukodystrophy, GM2 Gangliosidosis, H-ABC - Hypomyelination, Atrophy of Basal Ganglia and Cerebellum, HBSL, HBSL - Hypomyelination, Brain Stem, Spinal Cord, Leg Spasticity, HCC - Hypomyelination and Congenital Cataract, Krabbe Disease, Labrune Syndrome, LBSL, LCC, Leukodystrophy, Leukoencephalopathy With Brain Stem and Spinal Cord Involvement and High Lactate Syndrome (Disorder), Leukoencephalopathy With Brainstem and Spinal Cord Involvement and Lactate Elevation, Mct8 (Slc16A2)-Specific Thyroid Hormone Cell Transporter Deficiency, Megalencephalic Leukoencephalopathy With Subcortical Cysts 1, Metachromatic Leukodystrophy, MLC1, MLD, Mucopolysaccharidoses, Multiple Sulfatase Deficiency, Pelizaeus-Merzbacher Disease, Pelizaeus-Merzbacher-Like Disease, 1, Peroxisomal Biogenesis Disorder, PLP1 Gene Duplication | Blood or Tissue | Mutations, PLP1 Null Syndrome, PMD, Refsum Disease, Salla Disease, Sialic Storage Disease, Sjögren, Sjogren-Larsson Syndrome, TBCK-Related Intellectual Disability Syndrome, TUBB4A-Related Leukodystrophy, Van Der Knapp Disease, Vanishing White Matter Disease, White Matter Disease, X-ALD, X-linked Adrenoleukodystrophy, Zellweger Syndrome

Keywords

Leukodystrophy, White Matter Disease, Whole Genome Sequencing, WGS

Brief summary

Leukodystrophies, and other heritable disorders of the white matter of the brain, were previously resistant to genetic characterization, largely due to the extreme genetic heterogeneity of molecular causes. While recent work has demonstrated that whole genome sequencing (WGS), has the potential to dramatically increase diagnostic efficiency, significant questions remain around the impact on downstream clinical management approaches versus standard diagnostic approaches.

Detailed description

Leukodystrophies are a group of approximately 30 genetic diseases that primarily affect the white matter of the brain, a complex structure composed of axons sheathed in myelin, a glial cell-derived lipid-rich membrane. Leukodystrophies are frequently characterized by early onset, spasticity and developmental delay, and are degenerative in nature. As a whole, leukodystrophies are relatively common (approximately 1 in 7000 births or almost twice as prevalent as Prader-Willi Syndrome, which has been far more extensively studied) with high associated health-care costs; however, more than half of the suspected leukodystrophies do not have a definitive diagnosis, and are generally classified as leukodystrophies of unknown etiology. Even when a diagnosis is achieved, the diagnostic process lasts an average of eight years and results in test expenses in excess of $8,000 on average per patient, including the majority of patients who never achieve a diagnosis at all. These diagnostic challenges represent an urgent and unresolved gap in knowledge and disease characterization, as obtaining a definitive diagnosis is of paramount importance for leukodystrophy patients. The diagnostic workup begins with findings on cranial Magnetic Resonance Imaging (MRI) followed by sequential targeted genetic testing, however next generation sequencing (NGS) technologies offer the promise of rapid and more cost effective approaches. Despite significant advances in diagnostic efficacy, there are still significant issues with respect to implementation of NGS in clinical settings. First, sample cohorts demonstrating diagnostic efficacy are generally small, retrospective, and susceptible to ascertainment bias, ultimately rendering them poor candidates for utility analyses (to determine how efficient a test is at producing a diagnosis). Second, historic sample cohorts have not been examined prospectively for information about impact on clinical management (whether the test results in different clinical monitoring, a change in medications, or alternate clinical interventions). To address these issues, the study team conducted an investigation of patients with suspected leukodystrophies or other genetic disorders affecting the white matter of the brain at the time of initial confirmation of MRI abnormalities, with prospective collection of patients randomly received on a first come, first served basis from a network of expert clinical sites. Subjects were randomized to receive early (1 month) or late (6 months) WGS, with SoC clinical analyses conducted alongside WGS testing. An interim analysis performed in May 2018 assessed these study outcomes for a cohort of thirty-four (34) enrolled subjects. Two of these subjects were resolved before complete enrollment and were retained as controls. Nine subjects were stratified to the Immediate Arm, of which 5 (55.6%) were resolved by WGS and 4 (44.4%) were persistently unresolved. Of the 23 subjects randomized to the Delayed Arm, 14 (60.9%) were resolved by WGS and 5 (21.7%) by SoC, while the remaining 4 (17.4%) remained undiagnosed. The diagnostic efficacy of WGS in both arms was significant relative to SoC (p\<0.005). The time to diagnosis was significantly shorter in the immediate WGS group (p\<0.05). The overall diagnostic efficacy of the combination of WGS and SoC approaches was 26/34 (76.5%; 95% CI = 58.8% to 89.3%) over \<4 months, greater than historical norms of \<50% over more than 5 years. The study now seeks to determine whether WGS results in changes to diagnostic status and clinical management in subjects affected by undiagnosed genetic disorders of the white matter of the brain. We anticipate that WGS will produce measurable downstream changes in diagnostic status and clinical management, as defined by disease-specific screening for complications or implementation of disease-specific therapeutic approaches.

Interventions

None listed

Sponsors

Children's Hospital of Philadelphia
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
No minimum to 18 Years
Healthy volunteers
No

Inclusion criteria

1. Abnormalities of the white matter signal on neuroimaging (MRI) with T2 hyperintensity which must be diffuse or involve specific anatomical tracts consistent with a genetic diagnosis; 2. No pre-existing genetic diagnosis; 3. A clinical decision has been made to perform WGS; 4. Less than 18 years of age (exception for the affected sibling of the proband); 5. Availability of both biologic parents for blood sampling; 6. Availability of both biological parents to provide informed consent; 7. Concurrently enrolled in CHOP IRB 14-011236 (Myelin Disorders Biorepository Project)

Exclusion criteria

1. Candidates with acquired disorders, including infection, acute disseminated encephalomyelitis (ADEM), multiple sclerosis, vasculitis or toxic leukoencephalopathies; 2. Patients who have had previous genetic testing\*, including WES or WGS; 3. Those with no third-party payer insurance, unable to receive standard of care diagnosis and therapeutic approaches; 4. Candidates who have already received a diagnosis. * Note: Karyotype or microarray testing that did not yield a definitive diagnosis should not be considered as an excluding factor.

Design outcomes

Primary

MeasureTime frameDescription
Changes in Diagnosis Status (Resulting From WGS)12 monthsThe primary objective of this study is to evaluate changes in diagnostic status in the study cohort for patients who received Whole Genome Sequencing (WGS) as part of clinical care. Differences in diagnostic status will be measured at disclosure of initial results or disclosure of reanalyzed results.

Secondary

MeasureTime frameDescription
Changes in Clinical Management (Resulting From WGS)12 monthsThe secondary objective of this study is to evaluate changes in clinical care in subjects who received a diagnosis through Whole Genome Sequencing (WGS). Differences in clinical care will be evaluated 1 year following disclosure of results.

Countries

United States

Participant flow

Participants by arm

ArmCount
Prospective Study Cohort
This cohort comprises recently identified individuals for whom a clinical decision has been made to pursue whole genome sequencing (WGS) as a first-line diagnostic test. The cohort also includes each subject's biological parents.
80
Total80

Baseline characteristics

CharacteristicProspective Study Cohort
Age, Categorical
<=18 years
80 Participants
Age, Categorical
>=65 years
0 Participants
Age, Categorical
Between 18 and 65 years
0 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
2 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
0 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
78 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
6 Participants
Race (NIH/OMB)
Black or African American
4 Participants
Race (NIH/OMB)
More than one race
4 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
6 Participants
Race (NIH/OMB)
White
60 Participants
Region of Enrollment
United States
80 participants
Sex: Female, Male
Female
41 Participants
Sex: Female, Male
Male
39 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 0
other
Total, other adverse events
0 / 0
serious
Total, serious adverse events
0 / 0

Outcome results

Primary

Changes in Diagnosis Status (Resulting From WGS)

The primary objective of this study is to evaluate changes in diagnostic status in the study cohort for patients who received Whole Genome Sequencing (WGS) as part of clinical care. Differences in diagnostic status will be measured at disclosure of initial results or disclosure of reanalyzed results.

Time frame: 12 months

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Prospective Study CohortChanges in Diagnosis Status (Resulting From WGS)45 Participants
Secondary

Changes in Clinical Management (Resulting From WGS)

The secondary objective of this study is to evaluate changes in clinical care in subjects who received a diagnosis through Whole Genome Sequencing (WGS). Differences in clinical care will be evaluated 1 year following disclosure of results.

Time frame: 12 months

Population: There were 45/80 participants with diagnostic results and 38 of these subjects had sufficient medical records for 1-year post-Genomic Sequencing (GS) review.~The numbers included below (37, 35 and 8) overlap: one participant could be part of the 3 different rows counts.

ArmMeasureGroupValue (NUMBER)
Prospective Study CohortChanges in Clinical Management (Resulting From WGS)Referred to specialists providers for disease monitoring37 participants
Prospective Study CohortChanges in Clinical Management (Resulting From WGS)Received additional targeted screening35 participants
Prospective Study CohortChanges in Clinical Management (Resulting From WGS)Eligible for disease modifying treatment8 participants

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026