Aarhus University Seal

Dansk

You are here: » Zexi Cai » Research outputs » MeSCoT

About Aarhus University

Zexi Cai

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

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Standard

MeSCoT: The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions. / Milkevych, Viktor; Karaman, Emre; Sahana, Goutam et al.
In: G3 (Bethesda, Md.), Vol. 11, No. 7, jkab133, 07.2021.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Harvard

Milkevych, V, Karaman, E, Sahana, G, Janss, L, Cai, Z & Lund, MS 2021, 'MeSCoT: The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions', G3 (Bethesda, Md.), vol. 11, no. 7, jkab133. https://doi.org/10.1093/g3journal/jkab133

APA

Milkevych, V., Karaman, E., Sahana, G., Janss, L., Cai, Z., & Lund, M. S. (2021). MeSCoT: The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions. G3 (Bethesda, Md.), 11(7), Article jkab133. Advance online publication. https://doi.org/10.1093/g3journal/jkab133

CBE

Milkevych V, Karaman E, Sahana G, Janss L, Cai Z, Lund MS. 2021. MeSCoT: The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions. G3 (Bethesda, Md.). 11(7):Article jkab133. https://doi.org/10.1093/g3journal/jkab133

MLA

Milkevych, Viktor et al. "MeSCoT: The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions". G3 (Bethesda, Md.). 2021. 11(7). https://doi.org/10.1093/g3journal/jkab133

Vancouver

Milkevych V, Karaman E, Sahana G, Janss L, Cai Z, Lund MS. MeSCoT: The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions. G3 (Bethesda, Md.). 2021 Jul;11(7):jkab133. Epub 2021 Apr 26. doi: 10.1093/g3journal/jkab133

Author

Milkevych, Viktor ; Karaman, Emre ; Sahana, Goutam et al. / MeSCoT : The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions. In: G3 (Bethesda, Md.). 2021 ; Vol. 11, No. 7.

Bibtex

@article{e721f1541c284f61ab19e900bbc2b92b,
title = "MeSCoT: The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions",
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.",
keywords = "Complex trait, Epistasis, Genomic architecture, Genomic regulatory network, Omnigenic model",
author = "Viktor Milkevych and Emre Karaman and Goutam Sahana and Luc Janss and Zexi Cai and Lund, {Mogens Sand{\o}}",
note = "{\textcopyright} The Author(s) (2021). Published by Oxford University Press on the Genetics Society of America.",
year = "2021",
month = jul,
doi = "10.1093/g3journal/jkab133",
language = "English",
volume = "11",
journal = "G3 (Bethesda, Md.)",
issn = "2160-1836",
publisher = "Genetics Society of America",
number = "7",

}

RIS

TY - JOUR

T1 - MeSCoT

T2 - The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions

AU - Milkevych, Viktor

AU - Karaman, Emre

AU - Sahana, Goutam

AU - Janss, Luc

AU - Cai, Zexi

AU - Lund, Mogens Sandø

N1 - © The Author(s) (2021). Published by Oxford University Press on the Genetics Society of America.

PY - 2021/7

Y1 - 2021/7

N2 - 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.

AB - 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.

KW - Complex trait

KW - Epistasis

KW - Genomic architecture

KW - Genomic regulatory network

KW - Omnigenic model

U2 - 10.1093/g3journal/jkab133

DO - 10.1093/g3journal/jkab133

M3 - Journal article

C2 - 33905502

VL - 11

JO - G3 (Bethesda, Md.)

JF - G3 (Bethesda, Md.)

SN - 2160-1836

IS - 7

M1 - jkab133

ER -