نتایج جستجو برای: polyphen

تعداد نتایج: 251  

2011
Zhou Zhou Binbin Wang Shanshan Hu Chunmei Zhang Xu Ma Yanhua Qi

PURPOSE To investigate the role of genetic variations in three known cataract-associated genes, gap junction protein α3 (GJA3), gap junction protein α8 (GJA8), lens intrinsic membrane protein 2 (LIM2), encoding lens fiber cell membrane proteins in the development of age-related cataracts. METHODS One hundred and forty-five sporadic age-related cataract patients and one hundred and fifty-six u...

2016
Haeyoung Kim Dae-Yeon Cho Doo Ho Choi Gee Hue Jung Inkyung Shin Won Park Seung Jae Huh Seok Jin Nam Jeong Eon Lee Won Ho Gil Seok Won Kim

PURPOSE The aim of the current study is to assess the spectrum of genetic variation in the BRIP1 gene among Korean high-risk breast cancer patients who tested negative for the BRCA1/2 mutation. MATERIALS AND METHODS Overall, 235 Korean patientswith BRCA1/2 mutation-negative high-risk breast cancerwere screened for BRIP1 mutations. The entire BRIP1 gene was analyzed using fluorescent-conformat...

2011
Abhishek A. Singh Dakshinamurthy Sivakumar Pallavi Somvanshi

A computational approach for identifying functionally relevant SNPs in gene LIG1 has been proposed. LIG1 is a crucial gene which is involved in excision repair pathways and mutations in this gene may lead to increase sensitivity towards DNA damaging agents. A total of 792 SNPs were reported to be associated with gene LIG1 in dbSNP. Different web server namely SIFT, PolyPhen, CUPSAT, FASTSNP, MA...

Journal: :Genome research 2009
Sung Chun Justin C Fay

Each human carries a large number of deleterious mutations. Together, these mutations make a significant contribution to human disease. Identification of deleterious mutations within individual genome sequences could substantially impact an individual's health through personalized prevention and treatment of disease. Yet, distinguishing deleterious mutations from the massive number of nonfuncti...

2012
C. George Priya Doss B. Rajith Nimisha Garwasis Pretty Raju Mathew Anand Solomon Raju K. Apoorva Denise William N.R. Sadhana Tanwar Himani IP. Dike

Single amino acid substitutions in Fibroblast Growth Factor Receptor 1 (FGFR1) destabilize protein and have been implicated in several genetic disorders like various forms of cancer, Kallamann syndrome, Pfeiffer syndrome, Jackson Weiss syndrome, etc. In order to gain functional insight into mutation caused by amino acid substitution to protein function and expression, special emphasis was laid ...

2015
Narayana Swamy

Background: The human ADIPOQ gene encodes adiponectin protein hormone, which is involved in regulating glucose levels as well as fatty acid breakdown. It is exclusively produced by adipose tissue and abundantly present in the circulation, with concentration of around 0.01% of total serum proteins, with important effect on metabolism. Methods: Most deleterious nonsynonymous single nucleotide pol...

2015
A Narayana Swamy Harika Valasala Sreenivasulu Kamma

BACKGROUND The human ADIPOQ gene encodes adiponectin protein hormone, which is involved in regulating glucose levels as well as fatty acid breakdown. It is exclusively produced by adipose tissue and abundantly present in the circulation, with concentration of around 0.01% of total serum proteins, with important effect on metabolism. METHODS Most deleterious nonsynonymous single nucleotide pol...

2015
K P S Adinarayana R Karuna Devi P Ajay Babu

Introduction: Epidermal growth factor receptor family of receptor tyrosine kinases plays important roles in the development and severity of many cancers across human populations. Single-nucleotide polymorphisms (SNPs) play a major role in understanding the genetic basis of many complex human diseases. It is still a major challenge to identify the functional SNPs in a disease-related gene. Purpo...

2014
Jaroslav Bendl Jan Stourac Ondrej Salanda Antonín Pavelka Eric D. Wieben Jaroslav Zendulka Jan Brezovsky Jirí Damborský

Single nucleotide variants represent a prevalent form of genetic variation. Mutations in the coding regions are frequently associated with the development of various genetic diseases. Computational tools for the prediction of the effects of mutations on protein function are very important for analysis of single nucleotide variants and their prioritization for experimental characterization. Many...

2016
Carolin Knecht Matthew Mort Olaf Junge David N. Cooper Michael Krawczak Amke Caliebe

The in silico prediction of the functional consequences of mutations is an important goal of human pathogenetics. However, bioinformatic tools that classify mutations according to their functionality employ different algorithms so that predictions may vary markedly between tools. We therefore integrated nine popular prediction tools (PolyPhen-2, SNPs&GO, MutPred, SIFT, MutationTaster2, Mutation...

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