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Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation study
BACKGROUND: Many studies have shown that the abundance level of gene expression is heritable. Analogous to the traditional genetic study, most researchers treat the expression of one gene as a quantitative trait and map it to expression quantitative trait loci (eQTL). This is 1D-trait mapping. 1D-tr...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2432080/ https://www.ncbi.nlm.nih.gov/pubmed/18498664 http://dx.doi.org/10.1186/1471-2164-9-242 |
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author | Sun, Wei Yuan, Shinsheng Li, Ker-Chau |
author_facet | Sun, Wei Yuan, Shinsheng Li, Ker-Chau |
author_sort | Sun, Wei |
collection | PubMed |
description | BACKGROUND: Many studies have shown that the abundance level of gene expression is heritable. Analogous to the traditional genetic study, most researchers treat the expression of one gene as a quantitative trait and map it to expression quantitative trait loci (eQTL). This is 1D-trait mapping. 1D-trait mapping ignores the trait-trait interaction completely, which is a major shortcoming. RESULTS: To overcome this limitation, we study the expression of a pair of genes and treat the variation in their co-expression pattern as a two dimensional quantitative trait. We develop a method to find gene pairs, whose co-expression patterns, including both signs and strengths, are mediated by genetic variations and map these 2D-traits to the corresponding genetic loci. We report several applications by combining 1D-trait mapping with 2D-trait mapping, including the contribution of genetic variations to the perturbations in the regulatory mechanisms of yeast metabolic pathways. CONCLUSION: Our approach of 2D-trait mapping provides a novel and effective way to connect the genetic variation with higher order biological modules via gene expression profiles. |
format | Text |
id | pubmed-2432080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-24320802008-06-20 Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation study Sun, Wei Yuan, Shinsheng Li, Ker-Chau BMC Genomics Methodology Article BACKGROUND: Many studies have shown that the abundance level of gene expression is heritable. Analogous to the traditional genetic study, most researchers treat the expression of one gene as a quantitative trait and map it to expression quantitative trait loci (eQTL). This is 1D-trait mapping. 1D-trait mapping ignores the trait-trait interaction completely, which is a major shortcoming. RESULTS: To overcome this limitation, we study the expression of a pair of genes and treat the variation in their co-expression pattern as a two dimensional quantitative trait. We develop a method to find gene pairs, whose co-expression patterns, including both signs and strengths, are mediated by genetic variations and map these 2D-traits to the corresponding genetic loci. We report several applications by combining 1D-trait mapping with 2D-trait mapping, including the contribution of genetic variations to the perturbations in the regulatory mechanisms of yeast metabolic pathways. CONCLUSION: Our approach of 2D-trait mapping provides a novel and effective way to connect the genetic variation with higher order biological modules via gene expression profiles. BioMed Central 2008-05-23 /pmc/articles/PMC2432080/ /pubmed/18498664 http://dx.doi.org/10.1186/1471-2164-9-242 Text en Copyright © 2008 Sun et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Sun, Wei Yuan, Shinsheng Li, Ker-Chau Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation study |
title | Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation study |
title_full | Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation study |
title_fullStr | Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation study |
title_full_unstemmed | Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation study |
title_short | Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation study |
title_sort | trait-trait dynamic interaction: 2d-trait eqtl mapping for genetic variation study |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2432080/ https://www.ncbi.nlm.nih.gov/pubmed/18498664 http://dx.doi.org/10.1186/1471-2164-9-242 |
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