Literature DB >> 22247263

Bioinformatics for personal genome interpretation.

Emidio Capriotti1, Nathan L Nehrt, Maricel G Kann, Yana Bromberg.   

Abstract

An international consortium released the first draft sequence of the human genome 10 years ago. Although the analysis of this data has suggested the genetic underpinnings of many diseases, we have not yet been able to fully quantify the relationship between genotype and phenotype. Thus, a major current effort of the scientific community focuses on evaluating individual predispositions to specific phenotypic traits given their genetic backgrounds. Many resources aim to identify and annotate the specific genes responsible for the observed phenotypes. Some of these use intra-species genetic variability as a means for better understanding this relationship. In addition, several online resources are now dedicated to collecting single nucleotide variants and other types of variants, and annotating their functional effects and associations with phenotypic traits. This information has enabled researchers to develop bioinformatics tools to analyze the rapidly increasing amount of newly extracted variation data and to predict the effect of uncharacterized variants. In this work, we review the most important developments in the field--the databases and bioinformatics tools that will be of utmost importance in our concerted effort to interpret the human variome.

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Year:  2012        PMID: 22247263      PMCID: PMC3404395          DOI: 10.1093/bib/bbr070

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  174 in total

1.  Gene indexing: characterization and analysis of NLM's GeneRIFs.

Authors:  Joyce A Mitchell; Alan R Aronson; James G Mork; Lillian C Folk; Susanne M Humphrey; Janice M Ward
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

Authors:  Lucia A Hindorff; Praveen Sethupathy; Heather A Junkins; Erin M Ramos; Jayashri P Mehta; Francis S Collins; Teri A Manolio
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-27       Impact factor: 11.205

Review 3.  Pathogenic or not? And if so, then how? Studying the effects of missense mutations using bioinformatics methods.

Authors:  Janita Thusberg; Mauno Vihinen
Journal:  Hum Mutat       Date:  2009-05       Impact factor: 4.878

4.  Performance of mutation pathogenicity prediction methods on missense variants.

Authors:  Janita Thusberg; Ayodeji Olatubosun; Mauno Vihinen
Journal:  Hum Mutat       Date:  2011-02-22       Impact factor: 4.878

5.  Improving the prediction of disease-related variants using protein three-dimensional structure.

Authors:  Emidio Capriotti; Russ B Altman
Journal:  BMC Bioinformatics       Date:  2011-07-05       Impact factor: 3.169

6.  ProTherm and ProNIT: thermodynamic databases for proteins and protein-nucleic acid interactions.

Authors:  M D Shaji Kumar; K Abdulla Bava; M Michael Gromiha; Ponraj Prabakaran; Koji Kitajima; Hatsuho Uedaira; Akinori Sarai
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

7.  CUPSAT: prediction of protein stability upon point mutations.

Authors:  Vijaya Parthiban; M Michael Gromiha; Dietmar Schomburg
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

8.  SNAP: predict effect of non-synonymous polymorphisms on function.

Authors:  Yana Bromberg; Burkhard Rost
Journal:  Nucleic Acids Res       Date:  2007-05-25       Impact factor: 16.971

9.  Improved human disease candidate gene prioritization using mouse phenotype.

Authors:  Jing Chen; Huan Xu; Bruce J Aronow; Anil G Jegga
Journal:  BMC Bioinformatics       Date:  2007-10-16       Impact factor: 3.169

10.  Defining functional distances over gene ontology.

Authors:  Angela del Pozo; Florencio Pazos; Alfonso Valencia
Journal:  BMC Bioinformatics       Date:  2008-01-25       Impact factor: 3.169

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  38 in total

1.  From Molecules to Patients: The Clinical Applications of Translational Bioinformatics.

Authors:  K Regan; P R O Payne
Journal:  Yearb Med Inform       Date:  2015-08-13

2.  Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer.

Authors:  Thomas A Peterson; Nathan L Nehrt; Dohwan Park; Maricel G Kann
Journal:  J Am Med Inform Assoc       Date:  2012 Mar-Apr       Impact factor: 4.497

3.  tmVar: a text mining approach for extracting sequence variants in biomedical literature.

Authors:  Chih-Hsuan Wei; Bethany R Harris; Hung-Yu Kao; Zhiyong Lu
Journal:  Bioinformatics       Date:  2013-04-05       Impact factor: 6.937

Review 4.  Bioinformatics Methods and Tools to Advance Clinical Care. Findings from the Yearbook 2015 Section on Bioinformatics and Translational Informatics.

Authors:  L F Soualmia; T Lecroq
Journal:  Yearb Med Inform       Date:  2015-08-13

Review 5.  Tools for Predicting the Functional Impact of Nonsynonymous Genetic Variation.

Authors:  Haiming Tang; Paul D Thomas
Journal:  Genetics       Date:  2016-06       Impact factor: 4.562

6.  PaPI: pseudo amino acid composition to score human protein-coding variants.

Authors:  Ivan Limongelli; Simone Marini; Riccardo Bellazzi
Journal:  BMC Bioinformatics       Date:  2015-04-19       Impact factor: 3.169

7.  Current and emerging technology approaches in genomics.

Authors:  Yvette P Conley; Leslie G Biesecker; Stephen Gonsalves; Carrie J Merkle; Maggie Kirk; Bradley E Aouizerat
Journal:  J Nurs Scholarsh       Date:  2013-01-07       Impact factor: 3.176

8.  Blind prediction of deleterious amino acid variations with SNPs&GO.

Authors:  Emidio Capriotti; Pier Luigi Martelli; Piero Fariselli; Rita Casadio
Journal:  Hum Mutat       Date:  2017-05-02       Impact factor: 4.878

Review 9.  DECIPHER: web-based, community resource for clinical interpretation of rare variants in developmental disorders.

Authors:  Ganesh J Swaminathan; Eugene Bragin; Eleni A Chatzimichali; Manuel Corpas; A Paul Bevan; Caroline F Wright; Nigel P Carter; Matthew E Hurles; Helen V Firth
Journal:  Hum Mol Genet       Date:  2012-09-08       Impact factor: 6.150

10.  SNP-SIG 2013: from coding to non-coding--new approaches for genomic variant interpretation.

Authors:  Yana Bromberg; Emidio Capriotti
Journal:  BMC Genomics       Date:  2014-05-20       Impact factor: 3.969

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