Decoding the Genetic Landscape of Skeletal Diseases
SKDLAND
2 other identifiers
observational
450
1 country
1
Brief Summary
This 5-year project aims to (1) search for genetic causes for yet unsolved congenital skeletal disorders (GSDs); (2) study consequences of the newly identified pathogenic variants in cells and in transgenic mice, (3) summarize data on natural course and complications for different GSD groups. For patients with unsolved GSD, the investigators search for molecular causes of GSDs using whole genome sequencing (WGS) and total ribonucleic acid (RNA) sequencing. Candidate gene variants are selected using genome or transcriptome sequencing data, clinical findings and screening of omics databases. Causality of the new variants is studied in cells and in transgenic mice models. Molecular and clinical findings are summarized for different GSD groups.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2015
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2015
CompletedFirst Submitted
Initial submission to the registry
April 16, 2023
CompletedFirst Posted
Study publicly available on registry
May 25, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2026
May 25, 2023
May 1, 2023
12 years
April 16, 2023
May 16, 2023
Conditions
Outcome Measures
Primary Outcomes (2)
New gene discoveries for genetic skeletal disorders (GSDs)
2-3 new disease causes and disease entities identified and reported per year for GSDs.
2023-2028
Improved knowledge regarding natural cause of rare GSDs
1-2 GSDs reported as small patient groups with the same condition and clinical characteristics/course.
2023-2028
Secondary Outcomes (2)
Disease (GSD) associated traits and complications
2023-2028
Information on disease causing variants in GSD
2023-2028
Eligibility Criteria
Individuals of any age with congenital skeletal diseases and their healthy relatives
You may qualify if:
- Clinically suspected skeletal dysplasia based on previous investigations
- Abnormal height
- Radiographic abnormalities of the skeleton in addition to other syndromic features
- Healthy relatives of the affected study participants
You may not qualify if:
- No radiographic data available from clinical investigations
- Suspected environmental or multifactorial causes
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Karolinska Institutetlead
- Karolinska University Hospitalcollaborator
- Göteborg Universitycollaborator
Study Sites (1)
Karolinska University Hospital
Stockholm, 17176, Sweden
Biospecimen
Genomic DNA samples, primary dermal fibroblasts, RNA from blood or fibroblasts
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Giedre Grigelioniene, MD,
Dept Molecular Medicine and Surgery, KI
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- OTHER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor, MD, PhD
Study Record Dates
First Submitted
April 16, 2023
First Posted
May 25, 2023
Study Start
January 1, 2015
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
December 31, 2026
Last Updated
May 25, 2023
Record last verified: 2023-05
Data Sharing
- IPD Sharing
- Will not share
Due to GDPR we are not able to share genomic data, but in case of joined reports anonymized clinical data such as growth parameters or information on malformations will be shared.