Genetic characterization of suspected MODY patients in Pakistan by next generation sequencing—a pilot study
Background Maturity onset diabetes of the young (MODY) is the genetic form of diabetes inherited in autosomal dominant pattern. The diagnosis of MODY is challenging and confirmed by genetic testing. The objective of this study was to investigate MODY in Pakistani patients using next-generation seque...
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Published in: | International journal of diabetes in developing countries Vol. 41; no. 4; pp. 563 - 569 |
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Main Authors: | , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
New Delhi
Springer India
01-10-2021
Springer Nature B.V |
Subjects: | |
Online Access: | Get full text |
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Summary: | Background
Maturity onset diabetes of the young (MODY) is the genetic form of diabetes inherited in autosomal dominant pattern. The diagnosis of MODY is challenging and confirmed by genetic testing. The objective of this study was to investigate MODY in Pakistani patients using next-generation sequencing.
Methods
The next-generation sequencing was performed to know the cause of disease in 07 patients phenotypically suspected for MODY from Pakistan. These patients were selected based on the high probability score through MODY probability calculator. Only those genetic variants were retained which were having low frequency as per available data bases and their potential effects on protein as assessed by bioinformatics prediction tools.
Results
Four heterozygous variants were found among patients. This includes mutation in
HNF1a
gene (c.526+1G>A) that is already reported for causative for MODY type 3 which is most prevalent among all MODY sub-types. Other variants were identified in
GCK
(c.-45G>A),
KLF11
(c.*96dupA), and
CEL
(c.1235C>T).
Conclusion
This study was the first in Pakistan to investigate the MODY using next-generation sequencing for clinical applications. There is huge public health burden of diabetes in the country. The study identified mutation in one known MODY gene. More extensive studies involving large sample size are required in future. |
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ISSN: | 0973-3930 1998-3832 |
DOI: | 10.1007/s13410-021-00926-8 |