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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2013
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oai:doaj.org-article:dcc3585dd4f3404b844d0650ff3f24442021-11-18T09:03:23ZFast association tests for genes with FAST.1932-620310.1371/journal.pone.0068585https://doaj.org/article/dcc3585dd4f3404b844d0650ff3f24442013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23935874/?tool=EBIhttps://doaj.org/toc/1932-6203<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.Pritam ChandaHailiang HuangDan E ArkingJoel S BaderPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 7, p e68585 (2013) |
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Medicine R Science Q Pritam Chanda Hailiang Huang Dan E Arking Joel S Bader Fast association tests for genes with FAST. |
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<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. |
format |
article |
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 |
title |
Fast association tests for genes with FAST. |
title_short |
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_sort |
fast association tests for genes with fast. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2013 |
url |
https://doaj.org/article/dcc3585dd4f3404b844d0650ff3f2444 |
work_keys_str_mv |
AT pritamchanda fastassociationtestsforgeneswithfast AT hailianghuang fastassociationtestsforgeneswithfast AT danearking fastassociationtestsforgeneswithfast AT joelsbader fastassociationtestsforgeneswithfast |
_version_ |
1718420994194931712 |