Prediction and Structural Comparison of Deleterious Coding Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs) in Human LEP Gene Associated with Obesity
Joint Authors
Bouafi, Hind
Bencheikh, Sara
Mehdi Krami, AL
Morjane, Imane
Charoute, Hicham
Rouba, Hassan
Saile, Rachid
Benhnini, Fouad
Barakat, Abdelhamid
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Leptin is a peptide hormone that regulates fat stores in the body and appetite by controlling the feeling of satiety.
This hormone is secreted by the white adipose tissue and plays a role in the storage and mobilization of fatty acids.
Mutations of the LEP gene have been associated with obesity in different populations; it is a multifactorial disease that constitutes a major public health problem.
In this study, we evaluated the impact of missense SNPs in the LEP gene extracted from dbSNP using 8 computational prediction tools.
Out of the total of 4337 SNPs, 93 were nsSNPs (nonsynonymous single nucleotide polymorphisms).
Among 93 nsSNPs, 12 (S46L, G59S, D61N, D100N, N103K, C117S, D76V, S88C, P90R, I95N, L161R, and R105W) variants were predicted to be the most deleterious by prediction software.
On these 12 deleterious SNPs, 8 variants (S46L, G59S, D61N, D100N, N103K, C117S, L161R, and R105W) were located in the conserved positions and showed a decrease in structure stability which was evaluated by I-Mutant and Mupro.
Then, by analyzing the different interactions between different amino acids in wild and mutated proteins, we assessed the structural impact of the deleterious modifications using the YASARA software.
Among 8 deleterious nsSNPs, we revealed structure changes in the 6 variants S46L, G59S, D100N, L103K, R105W, L161R, two of which R105W, N103K were previously reported as associated with obesity.
Our study suggests 6 deleterious mutations could play an important role in contributing to human obesity and worth to be included in association and functional studies, then may be a drug target.
American Psychological Association (APA)
Bouafi, Hind& Bencheikh, Sara& Mehdi Krami, AL& Morjane, Imane& Charoute, Hicham& Rouba, Hassan…[et al.]. 2019. Prediction and Structural Comparison of Deleterious Coding Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs) in Human LEP Gene Associated with Obesity. BioMed Research International،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1123528
Modern Language Association (MLA)
Bouafi, Hind…[et al.]. Prediction and Structural Comparison of Deleterious Coding Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs) in Human LEP Gene Associated with Obesity. BioMed Research International No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1123528
American Medical Association (AMA)
Bouafi, Hind& Bencheikh, Sara& Mehdi Krami, AL& Morjane, Imane& Charoute, Hicham& Rouba, Hassan…[et al.]. Prediction and Structural Comparison of Deleterious Coding Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs) in Human LEP Gene Associated with Obesity. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1123528
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1123528