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Genetic Analysis of Childhood Obesity

Genetic Analysis of Childhood Obesity

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02326480
Acronym
OSV
Enrollment
300
Registered
2014-12-29
Start date
2015-01-31
Completion date
2021-06-30
Last updated
2020-03-03

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

Conditions

Obesity

Keywords

Childhood Obesity, Genetics

Brief summary

Identify news genetic causes of different type of obesity (syndromic, familial or isolated obesity) by highlighting new mutations or new implied genes

Interventions

OTHERIdentification of genetic causes of obesity

A blood test will be performed to the child and his/her parents with the aim of identifying genetic causes of obesity. Different analysis will be as follows: caryotypes, Raindance, whole exome, in order to find potential mutations or new genes associated to this condition

Sponsors

Institut Pasteur de Lille
CollaboratorOTHER
Lille Catholic University
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
6 Months to 18 Years
Healthy volunteers
Yes

Inclusion criteria

* BMI \> curve of IOTF 30 (International Obesity Task Force) * Age: between 6 months old and 18 years old * Child presenting syndromic, isolated or familial obesity.

Exclusion criteria

* Common obesity * Impossibility for blood sampling * Impossibility to receive information * Participation refusal of one of the parents * Refusal to sign the informed consent * Neither Healthcare coverage nor insurance

Design outcomes

Primary

MeasureTime frameDescription
To identify the number of mutations or genes involved in genetic causes of Child obesityfirst day of enrollementChildren with obesity and their parents will be recruited to establish genetic causes of obesity. This will allow perform genetic analysis using new approaches for the identification of involved mutations or new candidate genes

Secondary

MeasureTime frameDescription
To identify the number of mutations in the populationfirst day of enrollement
To identify the number of new mutations present in the children's DNA and absent from their parents' genomesfirst day of enrollementThis approach will allow the identification of specific mutations that are present only in affected children but not in their parents
To determine number of phenotypes associated to the child obesity genotypefirst day of enrollement

Countries

France

Contacts

Primary ContactAmélie Lansiaux, MD, PhD
lansiaux.amelie@ghicl.net
Backup ContactMélanie Hamez
hamez.melanie@ghicl.net

Outcome results

None listed

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