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MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions

This work represents a novel mechanistic approach to simulate and study genomic networks with accompanying regulatory interactions and complex mechanisms of quantitative trait formation. The approach implemented in MeSCoT software is conceptually based on the omnigenic genetic model of quantitative...

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Detalles Bibliográficos
Autores principales: Milkevych, Viktor, Karaman, Emre, Sahana, Goutam, Janss, Luc, Cai, Zexi, Lund, Mogens Sandø
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496224/
https://www.ncbi.nlm.nih.gov/pubmed/33905502
http://dx.doi.org/10.1093/g3journal/jkab133
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author Milkevych, Viktor
Karaman, Emre
Sahana, Goutam
Janss, Luc
Cai, Zexi
Lund, Mogens Sandø
author_facet Milkevych, Viktor
Karaman, Emre
Sahana, Goutam
Janss, Luc
Cai, Zexi
Lund, Mogens Sandø
author_sort Milkevych, Viktor
collection PubMed
description This work represents a novel mechanistic approach to simulate and study genomic networks with accompanying regulatory interactions and complex mechanisms of quantitative trait formation. The approach implemented in MeSCoT software is conceptually based on the omnigenic genetic model of quantitative (complex) trait, and closely imitates the basic in vivo mechanisms of quantitative trait realization. The software provides a framework to study molecular mechanisms of gene-by-gene and gene-by-environment interactions underlying quantitative trait’s realization and allows detailed mechanistic studies of impact of genetic and phenotypic variance on gene regulation. MeSCoT performs a detailed simulation of genes’ regulatory interactions for variable genomic architectures and generates complete set of transcriptional and translational data together with simulated quantitative trait values. Such data provide opportunities to study, for example, verification of novel statistical methods aiming to integrate intermediate phenotypes together with final phenotype in quantitative genetic analyses or to investigate novel approaches for exploiting gene-by-gene and gene-by-environment interactions.
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spelling pubmed-84962242021-10-07 MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions Milkevych, Viktor Karaman, Emre Sahana, Goutam Janss, Luc Cai, Zexi Lund, Mogens Sandø G3 (Bethesda) Software and Data Resources This work represents a novel mechanistic approach to simulate and study genomic networks with accompanying regulatory interactions and complex mechanisms of quantitative trait formation. The approach implemented in MeSCoT software is conceptually based on the omnigenic genetic model of quantitative (complex) trait, and closely imitates the basic in vivo mechanisms of quantitative trait realization. The software provides a framework to study molecular mechanisms of gene-by-gene and gene-by-environment interactions underlying quantitative trait’s realization and allows detailed mechanistic studies of impact of genetic and phenotypic variance on gene regulation. MeSCoT performs a detailed simulation of genes’ regulatory interactions for variable genomic architectures and generates complete set of transcriptional and translational data together with simulated quantitative trait values. Such data provide opportunities to study, for example, verification of novel statistical methods aiming to integrate intermediate phenotypes together with final phenotype in quantitative genetic analyses or to investigate novel approaches for exploiting gene-by-gene and gene-by-environment interactions. Oxford University Press 2021-04-27 /pmc/articles/PMC8496224/ /pubmed/33905502 http://dx.doi.org/10.1093/g3journal/jkab133 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software and Data Resources
Milkevych, Viktor
Karaman, Emre
Sahana, Goutam
Janss, Luc
Cai, Zexi
Lund, Mogens Sandø
MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions
title MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions
title_full MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions
title_fullStr MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions
title_full_unstemmed MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions
title_short MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions
title_sort mescot: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions
topic Software and Data Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496224/
https://www.ncbi.nlm.nih.gov/pubmed/33905502
http://dx.doi.org/10.1093/g3journal/jkab133
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