Genetic Research of Monogenic Obesity in a Pediatric Cohort With Severe and Early Onset Obesity (GENOBE)

Brief Summary

Detailed Description

Obesity is a frequent disease mainly caused by environmental/polygenic factors and more rarely caused by the alteration of a single gene ("monogenic obesity"). The diagnosis of these rare forms can lead to personalized management (new treatments, prognosis, adapted hygienic and dietary rules) and family screening. The genetic analysis of monogenic obesity classically includes the five best known genes of the leptin-melanocortin pathway: LEP, LEPR, POMC, PCSK1 and MC4R. The limitation to these five genes allows the diagnosis of only 1 to 3% of monogenic obesity. The use of a genetic panel covering more known causes of monogenic obesity on a pediatric cohort of severe and early obesity will allow to evaluate the relevance of enlarged analyses to adapt the management of these rare diseases. In addition, the penetrance and mode of transmission of some genes related to monogenic obesity remain to be precised. The study aims to analyze the sequencing of 71 genes related to monogenic obesity in a cohort of 100 patients with early (\<6 years) and severe obesity. The clinical and biological phenotype of each case will be documented by retrospective medical datas. Concurrent analysis of a cohort of 100 patients with normal BMI (" control ") aims to better define the genes and transmission patterns with significant penetrance in obesity. The study will include a first part aiming at including patients and controls in the study for which the Biochemistry laboratory of the Bordeaux University Hospital already has a DNA sample (maximum duration 24 months). The patient cohort will be composed of cases that have already benefited from the genetic analysis of the panel of 71 genes as part of their care. The control cohort will be sequenced for the study. The list of 71 genes comes from the recommendations of the French National Plan of Care regarding obesity of rare causes, adding the genes involved in Bardet Biedl Syndrome. The second step of the work will be to collect the clinical, biological and genetic datas of the patient and control cohorts. The third step will be the datas analyse.

Primary Outcomes