MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions. Issue 7 (27th April 2021)

• Record Type: Journal Article
• Authors: Milkevych, Viktor; Karaman, Emre; Sahana, Goutam; Janss, Luc; Cai, Zexi; Lund, Mogens Sandø
• Editors: Andrews, B
• Is Part Of: G3. Volume 11:Issue 7(2021)
• Publication Date: 2021-04-27
• Subjects: genomic regulatory network -- genomic architecture -- complex trait -- epistasis -- omnigenic model; Genetics -- Research -- Periodicals; Genomics -- Periodicals; Genetics; Genomics; Genes; Genetics -- Research; Genomics; Electronic journals; Periodical; Periodicals; Fulltext; Internet Resources; Periodicals; 572.8
• DOI: 10.1093/g3journal/jkab133
• Languages: English
• ISSNs: 2160-1836

Abstract

Abstract: 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.