Literature DB >> 15643605

PolyMAPr: programs for polymorphism database mining, annotation, and functional analysis.

Robert R Freimuth1, Gary D Stormo, Howard L McLeod.   

Abstract

Pharmacogenomic and disease-association studies rely on identifying a comprehensive set of polymorphisms within candidate genes. Public SNP databases are a rich source of polymorphism data, but mining them effectively requires overcoming at least four challenges: ensuring accurate annotations for genes and polymorphisms, eliminating both inter- and intra-database redundancy, integrating data from multiple public sources with data generated locally, and prioritizing the variants for further study. PolyMAPr (Polymorphism Mining and Annotation Programs)' was developed to overcome these challenges and to improve the efficiency of database mining and polymorphism annotation. PolyMAPr takes as input a file containing a list of genes to be processed and files containing each annotated gene sequence. Polymorphic sequences obtained from public databases (dbSNP, CGAP, and JSNP) or through local SNP discovery efforts, as well as oligonucleotide sequences (e.g., PCR primers), are mapped to the annotated gene sequences and named according to suggested nomenclature guidelines. The functional effects of nonsynonymous coding-region SNPs (cSNPs) and any variants that might alter exon splicing enhancer (ESE) sites, putative transcription factor binding sites, or intron-exon splice sites are predicted. The output files are accessible though a browser interface. In addition, the results are also provided in Extensible Markup Language (XML) format to facilitate uploading them into a local relational database. PolyMAPr increases the efficiency of mining public databases for genetic variants within candidate genes and provides a mechanism by which data from multiple sources (both public and private) can be uniformly integrated, thereby significantly reducing the effort required to obtain a comprehensive set of polymorphisms for pharmacogenomic and disease-association studies. PolyMAPr can be obtained from http://pharmacogenomics.wustl.edu. (c) 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 15643605     DOI: 10.1002/humu.20123

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  10 in total

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Authors:  Yan Gong; Amber L Beitelshees; Jennifer Wessel; Taimour Y Langaee; Nicholas J Schork; Julie A Johnson
Journal:  Pharmacogenet Genomics       Date:  2007-04       Impact factor: 2.089

Review 2.  Bioinformatic tools for identifying disease gene and SNP candidates.

Authors:  Sean D Mooney; Vidhya G Krishnan; Uday S Evani
Journal:  Methods Mol Biol       Date:  2010

3.  Identification of NR1I2 genetic variation using resequencing.

Authors:  Cristi R King; Ming Xiao; Jinsheng Yu; Matthew R Minton; Nicholas J Addleman; Derek J Van Booven; Pui-Yan Kwok; Howard L McLeod; Sharon Marsh
Journal:  Eur J Clin Pharmacol       Date:  2007-04-03       Impact factor: 2.953

4.  Genetic variation in the beta2 subunit of the voltage-gated calcium channel and pharmacogenetic association with adverse cardiovascular outcomes in the INternational VErapamil SR-Trandolapril STudy GENEtic Substudy (INVEST-GENES).

Authors:  Yuxin Niu; Yan Gong; Taimour Y Langaee; Heather M Davis; Hazem Elewa; Amber L Beitelshees; James I Moss; Rhonda M Cooper-Dehoff; Carl J Pepine; Julie A Johnson
Journal:  Circ Cardiovasc Genet       Date:  2010-12

5.  CACNA1C gene polymorphisms, cardiovascular disease outcomes, and treatment response.

Authors:  Amber L Beitelshees; Hrishikesh Navare; Danxin Wang; Yan Gong; Jennifer Wessel; James I Moss; Taimour Y Langaee; Rhonda M Cooper-DeHoff; Wolfgang Sadee; Carl J Pepine; Nicolas J Schork; Julie A Johnson
Journal:  Circ Cardiovasc Genet       Date:  2009-06-03

6.  FASTSNP: an always up-to-date and extendable service for SNP function analysis and prioritization.

Authors:  Hsiang-Yu Yuan; Jen-Jie Chiou; Wen-Hsien Tseng; Chia-Hung Liu; Chuan-Kun Liu; Yi-Jung Lin; Hui-Hung Wang; Adam Yao; Yuan-Tsong Chen; Chun-Nan Hsu
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

7.  PharmGED: Pharmacogenetic Effect Database.

Authors:  C J Zheng; L Y Han; B Xie; C Y Liew; S Ong; J Cui; H L Zhang; Z Q Tang; S H Gan; L Jiang; Y Z Chen
Journal:  Nucleic Acids Res       Date:  2006-12-06       Impact factor: 16.971

Review 8.  Analytical methods for inferring functional effects of single base pair substitutions in human cancers.

Authors:  William Lee; Peng Yue; Zemin Zhang
Journal:  Hum Genet       Date:  2009-05-12       Impact factor: 4.132

9.  SNPranker 2.0: a gene-centric data mining tool for diseases associated SNP prioritization in GWAS.

Authors:  Ivan Merelli; Andrea Calabria; Paolo Cozzi; Federica Viti; Ettore Mosca; Luciano Milanesi
Journal:  BMC Bioinformatics       Date:  2013-01-14       Impact factor: 3.169

10.  A survey of genomic properties for the detection of regulatory polymorphisms.

Authors:  Stephen B Montgomery; Obi L Griffith; Johanna M Schuetz; Angela Brooks-Wilson; Steven J M Jones
Journal:  PLoS Comput Biol       Date:  2007-04-25       Impact factor: 4.475

  10 in total

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