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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2013-11-01
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Online Access: | http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00243/full |
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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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1725200042902421504 |