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Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies
Association studies are a staple of genotype–phenotype mapping studies, whether they are based on single markers, haplotypes, candidate genes, genome-wide genotypes, or whole genome sequences. Although genetic epidemiological studies typically contain data collected on multiple traits which themselv...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3266611/ https://www.ncbi.nlm.nih.gov/pubmed/22303408 http://dx.doi.org/10.3389/fgene.2012.00001 |
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author | Shriner, Daniel |
author_facet | Shriner, Daniel |
author_sort | Shriner, Daniel |
collection | PubMed |
description | Association studies are a staple of genotype–phenotype mapping studies, whether they are based on single markers, haplotypes, candidate genes, genome-wide genotypes, or whole genome sequences. Although genetic epidemiological studies typically contain data collected on multiple traits which themselves are often correlated, most analyses have been performed on single traits. Here, I review several methods that have been developed to perform multiple trait analysis. These methods range from traditional multivariate models for systems of equations to recently developed graphical approaches based on network theory. The application of network theory to genetics is termed systems genetics and has the potential to address long-standing questions in genetics about complex processes such as coordinate regulation, homeostasis, and pleiotropy. |
format | Online Article Text |
id | pubmed-3266611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-32666112012-02-02 Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies Shriner, Daniel Front Genet Genetics Association studies are a staple of genotype–phenotype mapping studies, whether they are based on single markers, haplotypes, candidate genes, genome-wide genotypes, or whole genome sequences. Although genetic epidemiological studies typically contain data collected on multiple traits which themselves are often correlated, most analyses have been performed on single traits. Here, I review several methods that have been developed to perform multiple trait analysis. These methods range from traditional multivariate models for systems of equations to recently developed graphical approaches based on network theory. The application of network theory to genetics is termed systems genetics and has the potential to address long-standing questions in genetics about complex processes such as coordinate regulation, homeostasis, and pleiotropy. Frontiers Research Foundation 2012-01-16 /pmc/articles/PMC3266611/ /pubmed/22303408 http://dx.doi.org/10.3389/fgene.2012.00001 Text en Copyright © 2012 Shriner. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited. |
spellingShingle | Genetics Shriner, Daniel Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies |
title | Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies |
title_full | Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies |
title_fullStr | Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies |
title_full_unstemmed | Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies |
title_short | Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies |
title_sort | moving toward system genetics through multiple trait analysis in genome-wide association studies |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3266611/ https://www.ncbi.nlm.nih.gov/pubmed/22303408 http://dx.doi.org/10.3389/fgene.2012.00001 |
work_keys_str_mv | AT shrinerdaniel movingtowardsystemgeneticsthroughmultipletraitanalysisingenomewideassociationstudies |