Testing for direct genetic effects using a screening step in family-based association studies

In genome wide association studies (GWAS), families based studies tend to have less power to detect genetic associations than population based studies, such as case-control studies. This can be an issue when testing if genes in a family based GWAS have a direct effect on the phenotype of interest o...

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Main Authors: Sharon M Lutz, Stijn eVansteelandt, Christoph eLange
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-11-01
Series:Frontiers in Genetics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00243/full
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spelling doaj-05b8d39005f0453abe25ae73aac39bf02020-11-25T01:03:39ZengFrontiers Media S.A.Frontiers in Genetics1664-80212013-11-01410.3389/fgene.2013.0024360916Testing for direct genetic effects using a screening step in family-based association studiesSharon M Lutz0Stijn eVansteelandt1Christoph eLange2University of Colorado, Anschutz Medical CampusGhent UniversityHarvard School of Public HealthIn genome wide association studies (GWAS), families based studies tend to have less power to detect genetic associations than population based studies, such as case-control studies. This can be an issue when testing if genes in a family based GWAS have a direct effect on the phenotype of interest or if the genes act indirectly through a secondary phenotype. When multiple SNPs are tested for a direct effect in the family based study, a screening step can be used to minimize the burden of multiple comparisons in the causal analysis. We propose a 2-stage screening step that can be incorporated into the family based association test (FBAT) approach similar to the conditional mean model approach in the VanSteen-algorithm [1]. Simulations demonstrate that the type 1 error is preserved and this method is advantageous when multiple markers are tested. This method is illustrated by an application to the Framingham Heart Study.http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00243/fullcausal inferenceFamily-based association analysisMediationpleiotropygenetic pathway
collection DOAJ
language English
format Article
sources DOAJ
author Sharon M Lutz
Stijn eVansteelandt
Christoph eLange
spellingShingle Sharon M Lutz
Stijn eVansteelandt
Christoph eLange
Testing for direct genetic effects using a screening step in family-based association studies
Frontiers in Genetics
causal inference
Family-based association analysis
Mediation
pleiotropy
genetic pathway
author_facet Sharon M Lutz
Stijn eVansteelandt
Christoph eLange
author_sort Sharon M Lutz
title Testing for direct genetic effects using a screening step in family-based association studies
title_short Testing for direct genetic effects using a screening step in family-based association studies
title_full Testing for direct genetic effects using a screening step in family-based association studies
title_fullStr Testing for direct genetic effects using a screening step in family-based association studies
title_full_unstemmed Testing for direct genetic effects using a screening step in family-based association studies
title_sort testing for direct genetic effects using a screening step in family-based association studies
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2013-11-01
description In genome wide association studies (GWAS), families based studies tend to have less power to detect genetic associations than population based studies, such as case-control studies. This can be an issue when testing if genes in a family based GWAS have a direct effect on the phenotype of interest or if the genes act indirectly through a secondary phenotype. When multiple SNPs are tested for a direct effect in the family based study, a screening step can be used to minimize the burden of multiple comparisons in the causal analysis. We propose a 2-stage screening step that can be incorporated into the family based association test (FBAT) approach similar to the conditional mean model approach in the VanSteen-algorithm [1]. Simulations demonstrate that the type 1 error is preserved and this method is advantageous when multiple markers are tested. This method is illustrated by an application to the Framingham Heart Study.
topic causal inference
Family-based association analysis
Mediation
pleiotropy
genetic pathway
url http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00243/full
work_keys_str_mv AT sharonmlutz testingfordirectgeneticeffectsusingascreeningstepinfamilybasedassociationstudies
AT stijnevansteelandt testingfordirectgeneticeffectsusingascreeningstepinfamilybasedassociationstudies
AT christophelange testingfordirectgeneticeffectsusingascreeningstepinfamilybasedassociationstudies
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