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International Genetic Obesity Registry (iGO Registry)

U

University of Ulm

Status

Enrolling

Conditions

Genetic Obesity

Study type

Observational

Funder types

Other

Identifiers

NCT07296900
iGO Registry

Details and patient eligibility

About

Genetic obesity results from changes in specific genes that affect appetite regulation, metabolism, and fat storage. Its severity and associated health issues vary depending on the genetic cause. In some cases, hormonal imbalances, developmental delays, or other complications may also occur. Identifying the genetic cause is essential for personalized treatment and understanding potential symptoms.

As genetic obesity is rare, specialists often encounter few patients with diverse genetic backgrounds and clinical features. Therefore, collecting global data is crucial to improve our understanding of the condition's progression, complications, and treatment responses for each genetic subtype.

To support this, the International Genetic Obesity Registry (iGO Registry) has been established to gather detailed patient information on genetic obesity. This registry will help advance research and improve clinical care for affected individuals. It will collect data from routine outpatient visits, focusing on relevant diagnostic and treatment information on an international level.

Enrollment

5,000 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients with

    • genetically confirmed genetic obesity (ACMG classification 3-5, associated with obesity) and/or
    • early onset severe obesity (BMI ≥ 120% 95th percentile or ≥ 35 kg/m2 before 5 years of age) if genetic testing was performed
  • Capable of understanding the aims of the protocol and to provide informed consent (for children and chronically incapacitated individuals, consent is given by their legal guardians)

Exclusion criteria

  • Not capable of understanding the aims of the protocol and to provide informed consent

Trial contacts and locations

1

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Central trial contact

Julia von Schnurbein, PD Dr.

Data sourced from clinicaltrials.gov

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