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Comorbidity in the Tunisian population.
L Romdhane1,2, O Messaoud1, Y Bouyacoub1
1Biomedical Genomics and Oncogenetics Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Genetic diseases, including over 400 disorders, are a public health concern in Tunisia, influenced by consanguinity. This study reports 75 genetic disease associations (comorbidity) in Tunisian families, highlighting challenges for genetic counseling.
Area of Science:
- Genetics
- Public Health
- Medical Genetics
Background:
- Genetic diseases pose a significant public health challenge in Tunisia, with over 400 identified disorders.
- Demographic, economic, and social factors, particularly consanguinity, influence the prevalence and distribution of these diseases.
- Existing information on genetic disease associations (comorbidity) in the Tunisian population is fragmented.
Purpose of the Study:
- To centralize information on genetic disease associations (comorbidity) in the Tunisian population.
- To highlight the occurrence of comorbidity in consanguineous populations.
- To draw the attention of clinicians and researchers to the complexities of genetic counseling and prenatal diagnosis in such cases.
Main Methods:
- Review and compilation of reported genetic disease associations within Tunisian families.
- Analysis of the role of consanguinity in comorbid associations.
- Identification of founder and private mutations responsible for primary and associated diseases.
Main Results:
- Seventy-five distinct genetic disease associations (comorbidity) were identified among Tunisian families.
- Consanguinity was a noted factor in 39 of these comorbid associations.
- Twenty-one founder and 11 private mutations were found to cause 34 primary diseases and 13 associated diseases.
Conclusions:
- Genetic disease comorbidity is a significant phenomenon in the Tunisian population, particularly in consanguineous families.
- The presence of comorbidity complicates genetic counseling and prenatal diagnosis, even when specific mutations are known.
- Centralizing data on genetic disease associations is crucial for improving clinical management and research in Tunisia.
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