Literature DB >> 21764165

Phylomedicine: an evolutionary telescope to explore and diagnose the universe of disease mutations.

Sudhir Kumar1, Joel T Dudley, Alan Filipski, Li Liu.   

Abstract

Modern technologies have made the sequencing of personal genomes routine. They have revealed thousands of nonsynonymous (amino acid altering) single nucleotide variants (nSNVs) of protein-coding DNA per genome. What do these variants foretell about an individual's predisposition to diseases? The experimental technologies required to carry out such evaluations at a genomic scale are not yet available. Fortunately, the process of natural selection has lent us an almost infinite set of tests in nature. During long-term evolution, new mutations and existing variations have been evaluated for their biological consequences in countless species, and outcomes are readily revealed by multispecies genome comparisons. We review studies that have investigated evolutionary characteristics and in silico functional diagnoses of nSNVs found in thousands of disease-associated genes. We conclude that the patterns of long-term evolutionary conservation and permissible sequence divergence are essential and instructive modalities for functional assessment of human genetic variations. Published by Elsevier Ltd.

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Year:  2011        PMID: 21764165      PMCID: PMC3272884          DOI: 10.1016/j.tig.2011.06.004

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  95 in total

1.  Using SIFT and PolyPhen to predict loss-of-function and gain-of-function mutations.

Authors:  Sarah E Flanagan; Ann-Marie Patch; Sian Ellard
Journal:  Genet Test Mol Biomarkers       Date:  2010-08

2.  Automated high-throughput process for site-directed mutagenesis, production, purification, and kinetic characterization of enzymes.

Authors:  Raphaël Carapito; Benoit Gallet; André Zapun; Thierry Vernet
Journal:  Anal Biochem       Date:  2006-05-19       Impact factor: 3.365

3.  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

4.  Exploring the differences in evolutionary rates between monogenic and polygenic disease genes in human.

Authors:  Soumita Podder; Tapash C Ghosh
Journal:  Mol Biol Evol       Date:  2009-12-02       Impact factor: 16.240

Review 5.  Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease.

Authors:  David Botstein; Neil Risch
Journal:  Nat Genet       Date:  2003-03       Impact factor: 38.330

6.  Extreme evolutionary disparities seen in positive selection across seven complex diseases.

Authors:  Erik Corona; Joel T Dudley; Atul J Butte
Journal:  PLoS One       Date:  2010-08-17       Impact factor: 3.240

7.  Genetic susceptibility to death from coronary heart disease in a study of twins.

Authors:  M E Marenberg; N Risch; L F Berkman; B Floderus; U de Faire
Journal:  N Engl J Med       Date:  1994-04-14       Impact factor: 91.245

8.  Non-synonymous and synonymous coding SNPs show similar likelihood and effect size of human disease association.

Authors:  Rong Chen; Eugene V Davydov; Marina Sirota; Atul J Butte
Journal:  PLoS One       Date:  2010-10-22       Impact factor: 3.240

Review 9.  Exome sequencing: the sweet spot before whole genomes.

Authors:  Jamie K Teer; James C Mullikin
Journal:  Hum Mol Genet       Date:  2010-08-12       Impact factor: 6.150

10.  The Human Gene Mutation Database: 2008 update.

Authors:  Peter D Stenson; Matthew Mort; Edward V Ball; Katy Howells; Andrew D Phillips; Nick St Thomas; David N Cooper
Journal:  Genome Med       Date:  2009-01-22       Impact factor: 11.117

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  44 in total

1.  Whole-genome sequencing of the snub-nosed monkey provides insights into folivory and evolutionary history.

Authors:  Xuming Zhou; Boshi Wang; Qi Pan; Jinbo Zhang; Sudhir Kumar; Xiaoqing Sun; Zhijin Liu; Huijuan Pan; Yu Lin; Guangjian Liu; Wei Zhan; Mingzhou Li; Baoping Ren; Xingyong Ma; Hang Ruan; Chen Cheng; Dawei Wang; Fanglei Shi; Yuanyuan Hui; Yujing Tao; Chenglin Zhang; Pingfen Zhu; Zuofu Xiang; Wenkai Jiang; Jiang Chang; Hailong Wang; Zhisheng Cao; Zhi Jiang; Baoguo Li; Guang Yang; Christian Roos; Paul A Garber; Michael W Bruford; Ruiqiang Li; Ming Li
Journal:  Nat Genet       Date:  2014-11-02       Impact factor: 38.330

Review 2.  Bioinformatics for personal genome interpretation.

Authors:  Emidio Capriotti; Nathan L Nehrt; Maricel G Kann; Yana Bromberg
Journal:  Brief Bioinform       Date:  2012-01-13       Impact factor: 11.622

3.  Evolutionary meta-analysis of association studies reveals ancient constraints affecting disease marker discovery.

Authors:  Joel T Dudley; Rong Chen; Maxwell Sanderford; Atul J Butte; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2012-03-01       Impact factor: 16.240

Review 4.  Integration of structural dynamics and molecular evolution via protein interaction networks: a new era in genomic medicine.

Authors:  Avishek Kumar; Brandon M Butler; Sudhir Kumar; S Banu Ozkan
Journal:  Curr Opin Struct Biol       Date:  2015-12-09       Impact factor: 6.809

5.  Molecular evolution of the tissue-nonspecific alkaline phosphatase allows prediction and validation of missense mutations responsible for hypophosphatasia.

Authors:  Jérémie Silvent; Barbara Gasse; Etienne Mornet; Jean-Yves Sire
Journal:  J Biol Chem       Date:  2014-07-14       Impact factor: 5.157

6.  Evolutionary balancing is critical for correctly forecasting disease-associated amino acid variants.

Authors:  Li Liu; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2013-03-05       Impact factor: 16.240

7.  MEGA-MD: molecular evolutionary genetics analysis software with mutational diagnosis of amino acid variation.

Authors:  Glen Stecher; Li Liu; Maxwell Sanderford; Daniel Peterson; Koichiro Tamura; Sudhir Kumar
Journal:  Bioinformatics       Date:  2014-01-11       Impact factor: 6.937

Review 8.  Genomic insights into ayurvedic and western approaches to personalized medicine.

Authors:  Bhavana Prasher; Greg Gibson; Mitali Mukerji
Journal:  J Genet       Date:  2016-03       Impact factor: 1.166

9.  A Bayesian ensemble approach with a disease gene network predicts damaging effects of missense variants of human cancers.

Authors:  Hong-Hee Won; Jong-Won Kim; Doheon Lee
Journal:  Hum Genet       Date:  2012-08-21       Impact factor: 4.132

10.  The Role of Conformational Dynamics and Allostery in the Disease Development of Human Ferritin.

Authors:  Avishek Kumar; Tyler J Glembo; S Banu Ozkan
Journal:  Biophys J       Date:  2015-08-06       Impact factor: 4.033

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