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eQTL Epistasis – Challenges and Computational Approaches

The determination of expression quantitative trait loci (eQTL) epistasis – a form of functional interaction between genetic loci that affect gene expression – is an important step toward the thorough understanding of gene regulation. Since gene expression has emerged as an “intermediate” molecular p...

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Detalles Bibliográficos
Autores principales: Huang, Yang, Wuchty, Stefan, Przytycka, Teresa M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3668133/
https://www.ncbi.nlm.nih.gov/pubmed/23755066
http://dx.doi.org/10.3389/fgene.2013.00051
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author Huang, Yang
Wuchty, Stefan
Przytycka, Teresa M.
author_facet Huang, Yang
Wuchty, Stefan
Przytycka, Teresa M.
author_sort Huang, Yang
collection PubMed
description The determination of expression quantitative trait loci (eQTL) epistasis – a form of functional interaction between genetic loci that affect gene expression – is an important step toward the thorough understanding of gene regulation. Since gene expression has emerged as an “intermediate” molecular phenotype eQTL epistasis might help to explain the relationship between genotype and higher level organismal phenotypes such as diseases. A characteristic feature of eQTL analysis is the big number of tests required to identify associations between gene expression and genetic loci variability. This problem is aggravated, when epistatic effects between eQTLs are analyzed. In this review, we discuss recent algorithmic approaches for the detection of eQTL epistasis and highlight lessons that can be learned from current methods.
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spelling pubmed-36681332013-06-10 eQTL Epistasis – Challenges and Computational Approaches Huang, Yang Wuchty, Stefan Przytycka, Teresa M. Front Genet Genetics The determination of expression quantitative trait loci (eQTL) epistasis – a form of functional interaction between genetic loci that affect gene expression – is an important step toward the thorough understanding of gene regulation. Since gene expression has emerged as an “intermediate” molecular phenotype eQTL epistasis might help to explain the relationship between genotype and higher level organismal phenotypes such as diseases. A characteristic feature of eQTL analysis is the big number of tests required to identify associations between gene expression and genetic loci variability. This problem is aggravated, when epistatic effects between eQTLs are analyzed. In this review, we discuss recent algorithmic approaches for the detection of eQTL epistasis and highlight lessons that can be learned from current methods. Frontiers Media S.A. 2013-05-31 /pmc/articles/PMC3668133/ /pubmed/23755066 http://dx.doi.org/10.3389/fgene.2013.00051 Text en Copyright © 2013 Huang, Wuchty and Przytycka. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Genetics
Huang, Yang
Wuchty, Stefan
Przytycka, Teresa M.
eQTL Epistasis – Challenges and Computational Approaches
title eQTL Epistasis – Challenges and Computational Approaches
title_full eQTL Epistasis – Challenges and Computational Approaches
title_fullStr eQTL Epistasis – Challenges and Computational Approaches
title_full_unstemmed eQTL Epistasis – Challenges and Computational Approaches
title_short eQTL Epistasis – Challenges and Computational Approaches
title_sort eqtl epistasis – challenges and computational approaches
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3668133/
https://www.ncbi.nlm.nih.gov/pubmed/23755066
http://dx.doi.org/10.3389/fgene.2013.00051
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