Research Gap in Genetic Studies in Diabetes Mellitus in Iran

Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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IPMCMED01_081

تاریخ نمایه سازی: 23 آذر 1397

Abstract:

Background: Diabetes mellitus (DM) is the most common metabolic disorder worldwide. The aim was to report characteristics of genetic studies in DM in Iran and to identify knowledge gap in genetics of diabetes in Iran. Methods: All publications of Iranian authors in national and international journals up to 2015 were included. Comprehensive search was performed in PubMed, Web of Science, SCOPUS, SID, IranMedex and Magiran using Diabetes mellitus and Iran* keywords and their combination. Our search obtained 25589 documents. The obtained documents were categorized into eleven groups of complications, comorbidity, management, psychology, nutrition, physical activity, genetics, basic sciences, prevention, education and gestational diabetes mellitus (GDM).In each group after exclusion of unrelated documents and duplications, documents were categorized based on the WHO and Australian National Health and Medical Research Council (NHMRC) criteria, study design and subject area.Results: After screening, 293 documents remained. The trend of publications was increasing and reached peak in 2013. Case-control was the most common method used in the documents. Most of the studies were association study with case-control design while there was no genome wide association study (GWAS) and there was only one pharmacogenomics 2 study. Genetic risk factors for DM and its complications were the most common topics in the obtained documents followed by DM management.Conclusion: The most of genetic studies in diabetes in Iran are association studies about genetic risk factors of diabetes and GWAS and pharmacogenomic studies are rare or absent. This may indicate low priority of personalized medicine in the field of diabetes in Iran.

Authors

Fatemeh Bandarian

Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences