Fast association tests for genes with FAST.

<h4>Unlabelled</h4>Gene-based tests of association can increase the power of a genome-wide association study by aggregating multiple independent effects across a gene or locus into a single stronger signal. Recent gene-based tests have distinct approaches to selecting which variants to a...

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Main Authors: Pritam Chanda, Hailiang Huang, Dan E Arking, Joel S Bader
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23935874/?tool=EBI
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author Pritam Chanda
Hailiang Huang
Dan E Arking
Joel S Bader
author_facet Pritam Chanda
Hailiang Huang
Dan E Arking
Joel S Bader
author_sort Pritam Chanda
collection DOAJ
description <h4>Unlabelled</h4>Gene-based tests of association can increase the power of a genome-wide association study by aggregating multiple independent effects across a gene or locus into a single stronger signal. Recent gene-based tests have distinct approaches to selecting which variants to aggregate within a locus, modeling the effects of linkage disequilibrium, representing fractional allele counts from imputation, and managing permutation tests for p-values. Implementing these tests in a single, efficient framework has great practical value. Fast ASsociation Tests (Fast) addresses this need by implementing leading gene-based association tests together with conventional SNP-based univariate tests and providing a consolidated, easily interpreted report. Fast scales readily to genome-wide SNP data with millions of SNPs and tens of thousands of individuals, provides implementations that are orders of magnitude faster than original literature reports, and provides a unified framework for performing several gene based association tests concurrently and efficiently on the same data.<h4>Availability</h4>https://bitbucket.org/baderlab/fast/downloads/FAST.tar.gz, with documentation at https://bitbucket.org/baderlab/fast/wiki/Home.
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spelling doaj.art-dcc3585dd4f3404b844d0650ff3f24442022-12-21T22:42:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0187e6858510.1371/journal.pone.0068585Fast association tests for genes with FAST.Pritam ChandaHailiang HuangDan E ArkingJoel S Bader<h4>Unlabelled</h4>Gene-based tests of association can increase the power of a genome-wide association study by aggregating multiple independent effects across a gene or locus into a single stronger signal. Recent gene-based tests have distinct approaches to selecting which variants to aggregate within a locus, modeling the effects of linkage disequilibrium, representing fractional allele counts from imputation, and managing permutation tests for p-values. Implementing these tests in a single, efficient framework has great practical value. Fast ASsociation Tests (Fast) addresses this need by implementing leading gene-based association tests together with conventional SNP-based univariate tests and providing a consolidated, easily interpreted report. Fast scales readily to genome-wide SNP data with millions of SNPs and tens of thousands of individuals, provides implementations that are orders of magnitude faster than original literature reports, and provides a unified framework for performing several gene based association tests concurrently and efficiently on the same data.<h4>Availability</h4>https://bitbucket.org/baderlab/fast/downloads/FAST.tar.gz, with documentation at https://bitbucket.org/baderlab/fast/wiki/Home.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23935874/?tool=EBI
spellingShingle Pritam Chanda
Hailiang Huang
Dan E Arking
Joel S Bader
Fast association tests for genes with FAST.
PLoS ONE
title Fast association tests for genes with FAST.
title_full Fast association tests for genes with FAST.
title_fullStr Fast association tests for genes with FAST.
title_full_unstemmed Fast association tests for genes with FAST.
title_short Fast association tests for genes with FAST.
title_sort fast association tests for genes with fast
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23935874/?tool=EBI
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