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Genotype-phenotype Correlation in Junctional Epidermolysis Bullosa

Genotype-phenotype Correlation in Junctional Epidermolysis Bullosa

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04727268
Enrollment
20
Registered
2021-01-27
Start date
2021-09-27
Completion date
2021-12-30
Last updated
2021-10-04

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

Conditions

Junctional Epidermolysis Bullosa, Laryngo Onycho Cutaneous Syndrome

Keywords

Open access database, Junctional Epidermolysis Bullosa, Genotype phenotype correlation

Brief summary

This study will collect genetic and clinical information of junctional epidermolysis bullosa (JEB) patients. Computer analysis will be performed on genetic mutations found in these patients and this will be correlated with their clinical characteristics.

Detailed description

Junctional epidermolysis bullosa (JEB) is a rare genetic skin disease where genetic defects in skin proteins result in extensive blistering in response to mild mechanical stress. Patients are often affected at birth or from early childhood, and suffer from varying degrees of severity depending on the specific mutations that they have and the proteins that are affected. This ranges from severe widespread blistering and death within the first few years of life, to minimal localised blistering and survival to adulthood. Diagnosis is confirmed by genetic testing, and this is often used to predict the likely clinical course. However, it is not always straightforward to make accurate predictions from genetic information, as our understanding of these proteins and mutations at the molecular level is currently incomplete. The main aim of this project is to systematically collect genetic and clinical data of junctional epidermolysis bullosa (JEB) patients and to explore whether there are any relationships between participants' genetic defects and the severity of disease. This will help in establishing links between genetic defects and clinical characteristics, which is essential for accurate prognostication, genetic counselling and prenatal diagnosis. This study will also aim to develop pipelines for analysis of how mutations may affect corresponding protein structure and function using computer prediction tools. This will improve our understanding of how these proteins function, and could partly explain the variation in disease severity of patients with this condition. It could also lead to identification of important regions of the protein, which could be investigated further in subsequent studies.

Interventions

OTHERNo intervention

No interventions present in this study.

Sponsors

Dystrophic Epidermolysis Bullosa Research Association (DEBRA)
CollaboratorUNKNOWN
University of Birmingham
CollaboratorOTHER
University Hospital Birmingham NHS Foundation Trust
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
0 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

Adults and children with a diagnosis of JEB or LOC syndrome, which has been confirmed with genetic testing. A mutation is present in one of the following genes: LAMA3, LAMB3, LAMC2 or COL17A1. Current JEB patients, or JEB patients within the last 5 years who have used the EB service at Solihull hospital or Birmingham Women's and Children's Hospital. This includes patients who are living and also those who passed away in the last 5 years (eg from severe JEB).

Exclusion criteria

Adult patients who are unable to give informed consent. Child patients who do not assent and/ or have no one appropriate who can consent on their behalf. Persons who might not adequately understand verbal explanations or written information given in English.

Design outcomes

Primary

MeasureTime frameDescription
Genotype and phenotype data collection6 monthsThe primary objective is to systematically collect genetic and clinical data of junctional epidermolysis bullosa (JEB) patients and to explore whether there are any relationships between participants' genetic defects and the severity of disease.

Secondary

MeasureTime frameDescription
Bioinformatic analysis10 monthsDevelopment of a pipeline for bioinformatic analysis of variants

Countries

United Kingdom

Outcome results

None listed

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