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Elucidating the Genotype–Phenotype Relationships and Network Perturbations of Human Shared and Specific Disease Genes from an Evolutionary Perspective

To date, numerous studies have been attempted to determine the extent of variation in evolutionary rates between human disease and nondisease (ND) genes. In our present study, we have considered human autosomal monogenic (Mendelian) disease genes, which were classified into two groups according to t...

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Autores principales: Begum, Tina, Ghosh, Tapash Chandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224346/
https://www.ncbi.nlm.nih.gov/pubmed/25287147
http://dx.doi.org/10.1093/gbe/evu220
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author Begum, Tina
Ghosh, Tapash Chandra
author_facet Begum, Tina
Ghosh, Tapash Chandra
author_sort Begum, Tina
collection PubMed
description To date, numerous studies have been attempted to determine the extent of variation in evolutionary rates between human disease and nondisease (ND) genes. In our present study, we have considered human autosomal monogenic (Mendelian) disease genes, which were classified into two groups according to the number of phenotypic defects, that is, specific disease (SPD) gene (one gene: one defect) and shared disease (SHD) gene (one gene: multiple defects). Here, we have compared the evolutionary rates of these two groups of genes, that is, SPD genes and SHD genes with respect to ND genes. We observed that the average evolutionary rates are slow in SHD group, intermediate in SPD group, and fast in ND group. Group-to-group evolutionary rate differences remain statistically significant regardless of their gene expression levels and number of defects. We demonstrated that disease genes are under strong selective constraint if they emerge through edgetic perturbation or drug-induced perturbation of the interactome network, show tissue-restricted expression, and are involved in transmembrane transport. Among all the factors, our regression analyses interestingly suggest the independent effects of 1) drug-induced perturbation and 2) the interaction term of expression breadth and transmembrane transport on protein evolutionary rates. We reasoned that the drug-induced network disruption is a combination of several edgetic perturbations and, thus, has more severe effect on gene phenotypes.
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spelling pubmed-42243462014-11-10 Elucidating the Genotype–Phenotype Relationships and Network Perturbations of Human Shared and Specific Disease Genes from an Evolutionary Perspective Begum, Tina Ghosh, Tapash Chandra Genome Biol Evol Research Article To date, numerous studies have been attempted to determine the extent of variation in evolutionary rates between human disease and nondisease (ND) genes. In our present study, we have considered human autosomal monogenic (Mendelian) disease genes, which were classified into two groups according to the number of phenotypic defects, that is, specific disease (SPD) gene (one gene: one defect) and shared disease (SHD) gene (one gene: multiple defects). Here, we have compared the evolutionary rates of these two groups of genes, that is, SPD genes and SHD genes with respect to ND genes. We observed that the average evolutionary rates are slow in SHD group, intermediate in SPD group, and fast in ND group. Group-to-group evolutionary rate differences remain statistically significant regardless of their gene expression levels and number of defects. We demonstrated that disease genes are under strong selective constraint if they emerge through edgetic perturbation or drug-induced perturbation of the interactome network, show tissue-restricted expression, and are involved in transmembrane transport. Among all the factors, our regression analyses interestingly suggest the independent effects of 1) drug-induced perturbation and 2) the interaction term of expression breadth and transmembrane transport on protein evolutionary rates. We reasoned that the drug-induced network disruption is a combination of several edgetic perturbations and, thus, has more severe effect on gene phenotypes. Oxford University Press 2014-10-05 /pmc/articles/PMC4224346/ /pubmed/25287147 http://dx.doi.org/10.1093/gbe/evu220 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Article
Begum, Tina
Ghosh, Tapash Chandra
Elucidating the Genotype–Phenotype Relationships and Network Perturbations of Human Shared and Specific Disease Genes from an Evolutionary Perspective
title Elucidating the Genotype–Phenotype Relationships and Network Perturbations of Human Shared and Specific Disease Genes from an Evolutionary Perspective
title_full Elucidating the Genotype–Phenotype Relationships and Network Perturbations of Human Shared and Specific Disease Genes from an Evolutionary Perspective
title_fullStr Elucidating the Genotype–Phenotype Relationships and Network Perturbations of Human Shared and Specific Disease Genes from an Evolutionary Perspective
title_full_unstemmed Elucidating the Genotype–Phenotype Relationships and Network Perturbations of Human Shared and Specific Disease Genes from an Evolutionary Perspective
title_short Elucidating the Genotype–Phenotype Relationships and Network Perturbations of Human Shared and Specific Disease Genes from an Evolutionary Perspective
title_sort elucidating the genotype–phenotype relationships and network perturbations of human shared and specific disease genes from an evolutionary perspective
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224346/
https://www.ncbi.nlm.nih.gov/pubmed/25287147
http://dx.doi.org/10.1093/gbe/evu220
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