Literature DB >> 15829248

Gene SNPs and mutations in clinical genetic testing: haplotype-based testing and analysis.

Jong-Eun Lee1, Ji Ha Choi, Ji Hyun Lee, Min Goo Lee.   

Abstract

Haplotype-based analysis using high-density single nucleotide polymorphism (SNP) markers have gained increasing attention in evaluating candidate genes in various clinical situations. For example, haplotype information is useful for predicting the severity and prognosis of certain genetic disorders. The intragenic cis-interactions between the common polymorphisms and the pathogenic mutations of prion protein (PRNP) and cystic fibrosis transmembrane conductance regulator (CFTR) genes greatly influence the phenotypes and the disease penetrance of hereditary Creutzfeldt-Jakob disease and cystic fibrosis. Merits of haplotype study are more evident in the fine mapping of complex diseases and in identifying genetic variations that influence individual's response to drugs. Knowledge-based approaches and/or linkage analyses using SNP tagged haplotypes are effective tools in detecting genetic associations. For example, haplotype studies in the inflammatory bowel disease susceptibility loci revealed diverse cis and trans gene-gene interactions, which can affect the clinical outcomes. Although currently, we have very limited knowledge on haplotype-phenotypic characterizations of most genes, these examples demonstrate that increased understanding of the clinically relevant haplotypes will provide better results in the diagnosis and possibly in the treatment of both monogenic and polygenic diseases.

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Year:  2005        PMID: 15829248     DOI: 10.1016/j.mrfmmm.2004.08.018

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  17 in total

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Authors:  Rajith B; George Priya Doss C
Journal:  PLoS One       Date:  2011-09-13       Impact factor: 3.240

2.  In silico characterization of functional SNP within the oestrogen receptor gene.

Authors:  Maha Rebaï; Ahmed Rebaï
Journal:  J Genet       Date:  2016-12       Impact factor: 1.166

3.  Association of endothelial nitric oxide synthase polymorphisms with coronary artery disease in Korean individuals with or without diabetes mellitus.

Authors:  Jeehyeon Bae; In Jai Kim; Seung Ho Hong; Jung Hoon Sung; Sang Wook Lim; Dong Hoon Cha; Yong Wook Cho; Doyeun Oh; Nam Keun Kim
Journal:  Exp Ther Med       Date:  2010-07-01       Impact factor: 2.447

4.  Novel Disease-Associated Missense Single-Nucleotide Polymorphisms Variants Predication by Algorithms Tools and Molecular Dynamics Simulation of Human TCIRG1 Gene Causing Congenital Neutropenia and Osteopetrosis.

Authors:  Khyber Shinwari; Hafiz Muzzammel Rehman; Guojun Liu; Mikhail A Bolkov; Irina A Tuzankina; Valery A Chereshnev
Journal:  Front Mol Biosci       Date:  2022-04-28

5.  A comprehensive in silico analysis of the functional and structural impact of SNPs in the IGF1R gene.

Authors:  S A de Alencar; Julio C D Lopes
Journal:  J Biomed Biotechnol       Date:  2010-06-23

6.  Angiotensin-converting enzyme gene polymorphism predicts the time-course of blood pressure response to angiotensin converting enzyme inhibition in the AASK trial.

Authors:  Vibha Bhatnagar; Daniel T O'Connor; Nicholas J Schork; Rany M Salem; Caroline M Nievergelt; Brinda K Rana; Douglas W Smith; George L Bakris; John P Middleton; Keith C Norris; Jackson T Wright; Deanna Cheek; Leena Hiremath; Gabriel Contreras; Lawrence J Appel; Michael S Lipkowitz
Journal:  J Hypertens       Date:  2007-10       Impact factor: 4.844

7.  Computational refinement of functional single nucleotide polymorphisms associated with ATM gene.

Authors:  C George Priya Doss; B Rajith
Journal:  PLoS One       Date:  2012-04-13       Impact factor: 3.240

8.  Association of MDR1 gene SNPs and haplotypes with the tacrolimus dose requirements in Han Chinese liver transplant recipients.

Authors:  Xiaobo Yu; Haiyang Xie; Bajin Wei; Min Zhang; Weilin Wang; Jian Wu; Sheng Yan; Shusen Zheng; Lin Zhou
Journal:  PLoS One       Date:  2011-11-14       Impact factor: 3.240

9.  Identification of deleterious nsSNPs in α, μ, π and θ class of GST family and their influence on protein structure.

Authors:  P Yadav; A Chatterjee; A Bhattacharjee
Journal:  Genom Data       Date:  2014-05-09

10.  Predicting the Most Deleterious Missense Nonsynonymous Single-Nucleotide Polymorphisms of Hennekam Syndrome-Causing CCBE1 Gene, In Silico Analysis.

Authors:  Khyber Shinwari; Liu Guojun; Svetlana S Deryabina; Mikhail A Bolkov; Irina A Tuzankina; Valery A Chereshnev
Journal:  ScientificWorldJournal       Date:  2021-06-10
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