Moving towards 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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Main Author: Daniel eShriner
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-01-01
Series:Frontiers in Genetics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2012.00001/full
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author Daniel eShriner
author_facet Daniel eShriner
author_sort Daniel eShriner
collection DOAJ
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.
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spelling doaj.art-39896cdd43ec4fbcb3eeaa96244f4a952022-12-21T22:46:02ZengFrontiers Media S.A.Frontiers in Genetics1664-80212012-01-01310.3389/fgene.2012.0000118480Moving towards system genetics through multiple trait analysis in genome-wide association studiesDaniel eShriner0National Human Genome Research InstituteAssociation 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.http://journal.frontiersin.org/Journal/10.3389/fgene.2012.00001/fullmultivariate analysispleiotropySystems genetics
spellingShingle Daniel eShriner
Moving towards system genetics through multiple trait analysis in genome-wide association studies
Frontiers in Genetics
multivariate analysis
pleiotropy
Systems genetics
title Moving towards system genetics through multiple trait analysis in genome-wide association studies
title_full Moving towards system genetics through multiple trait analysis in genome-wide association studies
title_fullStr Moving towards system genetics through multiple trait analysis in genome-wide association studies
title_full_unstemmed Moving towards system genetics through multiple trait analysis in genome-wide association studies
title_short Moving towards system genetics through multiple trait analysis in genome-wide association studies
title_sort moving towards system genetics through multiple trait analysis in genome wide association studies
topic multivariate analysis
pleiotropy
Systems genetics
url http://journal.frontiersin.org/Journal/10.3389/fgene.2012.00001/full
work_keys_str_mv AT danieleshriner movingtowardssystemgeneticsthroughmultipletraitanalysisingenomewideassociationstudies