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Title

Sequence and structure based assessment of non-synonymous SNPs in hypertrichosis universalis

 

Authors

Rabiya Waheed, Mohammad Haroon Khan*, Raisa Bano & Hamid Rashid

 

Affiliation

Department of Bioinformatics, Mohammad Ali Jinnah University, Islamabad, Pakistan.

 

Email

haroon.khan@jinnah.edu.pk; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received March 09, 2012; Accepted March 21, 2012; Published April 13, 2012

 

Abstract

Hairs are complex structures, making a protective layer and serves different biological functions. TRPS1, a transcription factor is one of the candidate genes causing congenital hypertrichosis, an excessive hair growth at inappropriate body parts. SNPs of TRPS1 were retrieved from dbSNP which were screened by SIFT and PolyPhen servers based on their functional impacts. Out of the screened SNPs, rs181507248 and rs146506752 were predicted as intolerant and damaging by both the servers. The predicted tertiary structure of the native TRPS1 after refinement and validation was successfully submitted to the Protein Model Database and was assigned with PMDB ID PM0077843, as it was previously unpredicted. It was observed through the structure based analysis that, the SNPs rs181507248 and rs146506752 caused significant changes in the secondary and tertiary structures as well as the physiochemical properties of TRPS1 protein. It can thus be concluded that the changed properties due to these single nucleotide polymorphisms effect the interactions of TRPS1 which result in congenital hypertrichosis.

 

Keywords

Hypertrichosis, TRPS1, structure prediction, SNP

 

Citation

Waheed et al. Bioinformation 8(7): 316-318 (2012)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.