Predicting Functional Effect of Human Missense Mutations Using PolyPhen‐2

PolyPhen‐2 (Polymorphism Phenotyping v2), available as software and via a Web server, predicts the possible impact of amino acid substitutions on the stability and function of human proteins using structural and comparative evolutionary considerations. It performs functional annotation of single‐nucleotide polymorphisms (SNPs), maps coding SNPs to gene transcripts, extracts protein sequence annotations and structural attributes, and builds conservation profiles. It then estimates the probability of the missense mutation being damaging based on a combination of all these properties. PolyPhen‐2 features include a high‐quality multiple protein sequence alignment pipeline and a prediction method employing machine‐learning classification. The software also integrates the UCSC Genome Browser's human genome annotations and MultiZ multiple alignments of vertebrate genomes with the human genome. PolyPhen‐2 is capable of analyzing large volumes of data produced by next‐generation sequencing projects, thanks to built‐in support for high‐performance computing environments like Grid Engine and Platform LSF. Curr. Protoc. Hum. Genet. 76:7.20.1‐7.20.41. © 2013 by John Wiley & Sons, Inc.

[1]  J. Thompson,et al.  The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. , 1997, Nucleic acids research.

[2]  S. Sunyaev,et al.  PSIC: profile extraction from sequence alignments with position-specific counts of independent observations. , 1999, Protein engineering.

[3]  J G Henikoff,et al.  PHAT: a transmembrane-specific substitution matrix. Predicted hydrophobic and transmembrane. , 2000, Bioinformatics.

[4]  Jorja G. Henikoff,et al.  PHAT: a transmembrane-specific substitution matrix , 2000, Bioinform..

[5]  Warren C. Lathe,et al.  Prediction of deleterious human alleles. , 2001, Human molecular genetics.

[6]  D. Chasman,et al.  Predicting the functional consequences of non-synonymous single nucleotide polymorphisms: structure-based assessment of amino acid variation. , 2001, Journal of molecular biology.

[7]  A. Oskooi Molecular Evolution and Phylogenetics , 2008 .

[8]  Ryan D. Hernandez,et al.  Assessing the Evolutionary Impact of Amino Acid Mutations in the Human Genome , 2008, PLoS genetics.

[9]  Geoffrey J. Barton,et al.  Jalview Version 2—a multiple sequence alignment editor and analysis workbench , 2009, Bioinform..

[10]  P. Bork,et al.  A method and server for predicting damaging missense mutations , 2010, Nature Methods.

[11]  Alexander A. Morgan,et al.  Clinical assessment incorporating a personal genome , 2010, The Lancet.

[12]  Tim A. H. te Beek,et al.  A series of PDB related databases for everyday needs , 2010, Nucleic Acids Res..

[13]  J. Shendure,et al.  Exome sequencing as a tool for Mendelian disease gene discovery , 2011, Nature Reviews Genetics.

[14]  Marek Kimmel,et al.  Prediction of missense mutation functionality depends on both the algorithm and sequence alignment employed , 2011, Human mutation.

[15]  Jacob A. Tennessen,et al.  Evolution and Functional Impact of Rare Coding Variation from Deep Sequencing of Human Exomes , 2012, Science.

[16]  J. Silberg,et al.  A transposase strategy for creating libraries of circularly permuted proteins , 2012, Nucleic acids research.

[17]  The UniProt Consortium,et al.  Reorganizing the protein space at the Universal Protein Resource (UniProt) , 2011, Nucleic Acids Res..