Diagnostic Value of Exome/ Genome Sequencing, Conventional Methods in Rare Diseases and Familial Tumor Syndromes (EXGEFATU)

University Hospital Tuebingen

Status: Enrolling

Conditions: Genetic Predisposition; Rare Diseases

Treatments: Genetic: Retrospective data analysis

Study type: Observational

Funder types: Other

Identifiers

NCT04731857

EXGEFATU

Details and patient eligibility

About

For the retrospective data analysis, patients with genetic diseases of any age and, if available, other family members, for whom genetic analyzes were carried out between 10/2016 and 12/2020, should be included. This equates to approximately 13,000 records, minus combined analyzes in the same patient, an estimated 12,000 individuals.

Full description

The methodological developments of the last few years allow the broad use of next-generation-sequencing (NGS) -based methods in the routine molecular genetic diagnosis of genetic diseases.The aim of the retrospective data analysis is to create a solid data basis for further discussion regarding the development and mapping of diagnostic algorithms and subsequent supply routes. For the genome data, this evaluation is to be expanded to include the evaluation of the Polygenic risk scores (PRSs) in the sense of an additional finding.

Enrollment: 12,000 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patient with genetic disease or
• Family members
• Genetic analysis between 10/2016 and 12/2020 at the Institute for Medical Genetics and Applied Genomics at the University Hospital Tübingen

Exclusion criteria

• None

Trial design

12,000 participants in 1 patient group

Genetic diseases

Description:

For the retrospective data analysis, patients with genetic diseases of any age and, if available, other family members, for whom genetic analyzes were carried out between 10/2016 and 12/2020, should be included. This equates to approximately 13,000 records, minus combined analyzes in the same patient, an estimated 12,000 individuals.

Treatment:

Genetic: Retrospective data analysis