Literature DB >> 12682377

A functional analysis of disease-associated mutations in the androgen receptor gene.

Sean D Mooney1, Teri E Klein, Russ B Altman, Mark A Trifiro, Bruce Gottlieb.   

Abstract

Mutations in the androgen receptor (AR) are associated with a variety of diseases including androgen insensitivity syndrome and prostate cancer, but the way in which these mutations cause disease is poorly understood. We present a method for distinguishing likely disease-causing mutations from mutations that are merely associated with disease but have no causal role. Our method uses a measure of nucleotide conservation, and we find that conservation often correlates with severity of the clinical phenotype. Further, by only including mutations whose pathogenicity has been proven experimentally, this correlation is enhanced in the case of prostate cancer-associated mutations. Our method provides a means for assessing the significance of single nucleotide polymorphisms (SNPs) and cancer-associated mutations.

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Year:  2003        PMID: 12682377      PMCID: PMC153754          DOI: 10.1093/nar/gng042

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  19 in total

1.  Predicting the functional consequences of non-synonymous single nucleotide polymorphisms: structure-based assessment of amino acid variation.

Authors:  D Chasman; R M Adams
Journal:  J Mol Biol       Date:  2001-03-23       Impact factor: 5.469

2.  The Protein Information Resource: an integrated public resource of functional annotation of proteins.

Authors:  Cathy H Wu; Hongzhan Huang; Leslie Arminski; Jorge Castro-Alvear; Yongxing Chen; Zhang-Zhi Hu; Robert S Ledley; Kali C Lewis; Hans-Werner Mewes; Bruce C Orcutt; Baris E Suzek; Akira Tsugita; C R Vinayaka; Lai-Su L Yeh; Jian Zhang; Winona C Barker
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

3.  Accounting for human polymorphisms predicted to affect protein function.

Authors:  Pauline C Ng; Steven Henikoff
Journal:  Genome Res       Date:  2002-03       Impact factor: 9.043

4.  Predicting deleterious amino acid substitutions.

Authors:  P C Ng; S Henikoff
Journal:  Genome Res       Date:  2001-05       Impact factor: 9.043

5.  Information-theoretical entropy as a measure of sequence variability.

Authors:  P S Shenkin; B Erman; L D Mastrandrea
Journal:  Proteins       Date:  1991

6.  Structural models of osteogenesis imperfecta-associated variants in the COL1A1 gene.

Authors:  Sean D Mooney; Teri E Klein
Journal:  Mol Cell Proteomics       Date:  2002-11       Impact factor: 5.911

Review 7.  The androgen receptor gene and its influence on the development and progression of prostate cancer.

Authors:  J S Montgomery; D K Price; W D Figg
Journal:  J Pathol       Date:  2001-09       Impact factor: 7.996

Review 8.  The development of androgen-independent prostate cancer.

Authors:  B J Feldman; D Feldman
Journal:  Nat Rev Cancer       Date:  2001-10       Impact factor: 60.716

9.  Disentangling the perturbational effects of amino acid substitutions in the DNA-binding domain of p53.

Authors:  A I Wacey; D N Cooper; D Liney; E Hovig; M Krawczak
Journal:  Hum Genet       Date:  1999-01       Impact factor: 4.132

10.  The functional importance of disease-associated mutation.

Authors:  Sean D Mooney; Teri E Klein
Journal:  BMC Bioinformatics       Date:  2002-09-09       Impact factor: 3.169

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  3 in total

1.  Sequence variation in G-protein-coupled receptors: analysis of single nucleotide polymorphisms.

Authors:  Suganthi Balasubramanian; Yu Xia; Elizaveta Freinkman; Mark Gerstein
Journal:  Nucleic Acids Res       Date:  2005-03-22       Impact factor: 16.971

2.  Online tool for the discrimination of equi-distributions.

Authors:  Thorsten Pöschel; Cornelius Frömmel; Christoph Gille
Journal:  BMC Bioinformatics       Date:  2003-11-21       Impact factor: 3.169

3.  Exhaustive prediction of disease susceptibility to coding base changes in the human genome.

Authors:  Vinayak Kulkarni; Mounir Errami; Robert Barber; Harold R Garner
Journal:  BMC Bioinformatics       Date:  2008-08-12       Impact factor: 3.169

  3 in total

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