Genomic risk profiling of ischemic stroke: results of an international genome-wide association meta-analysis.

Familial aggregation of ischemic stroke derives from shared genetic and environmental factors. We present a meta-analysis of genome-wide association scans (GWAS) from 3 cohorts to identify the contribution of common variants to ischemic stroke risk.This study involved 1464 ischemic stroke cases and...

Full description

Bibliographic Details
Main Authors: James F Meschia, Andrew Singleton, Michael A Nalls, Stephen S Rich, Pankaj Sharma, Luigi Ferrucci, Mar Matarin, Dena G Hernandez, Kerra Pearce, Thomas G Brott, Robert D Brown, John Hardy, Bradford B Worrall
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3177829?pdf=render
id doaj-811bdc22309f4b199484096e091260d3
record_format Article
spelling doaj-811bdc22309f4b199484096e091260d32020-11-24T22:14:35ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0169e2316110.1371/journal.pone.0023161Genomic risk profiling of ischemic stroke: results of an international genome-wide association meta-analysis.James F MeschiaAndrew SingletonMichael A NallsStephen S RichPankaj SharmaLuigi FerrucciMar MatarinDena G HernandezKerra PearceThomas G BrottRobert D BrownJohn HardyBradford B WorrallFamilial aggregation of ischemic stroke derives from shared genetic and environmental factors. We present a meta-analysis of genome-wide association scans (GWAS) from 3 cohorts to identify the contribution of common variants to ischemic stroke risk.This study involved 1464 ischemic stroke cases and 1932 controls. Cases were genotyped using the Illumina 610 or 660 genotyping arrays; controls, with Illumina HumanHap 550Kv1 or 550Kv3 genotyping arrays. Imputation was performed with the 1000 Genomes European ancestry haplotypes (August 2010 release) as a reference. A total of 5,156,597 single-nucleotide polymorphisms (SNPs) were incorporated into the fixed effects meta-analysis. All SNPs associated with ischemic stroke (P<1×10(-5)) were incorporated into a multivariate risk profile model.No SNP reached genome-wide significance for ischemic stroke (P<5×10(-8)). Secondary analysis identified a significant cumulative effect for age at onset of stroke (first versus fifth quintile of cumulative profiles based on SNPs associated with late onset, ß = 14.77 [10.85,18.68], P = 5.5×10(-12)), as well as a strong effect showing increased risk across samples with a high propensity for stroke among samples with enriched counts of suggestive risk alleles (P<5×10(-6)). Risk profile scores based only on genomic information offered little incremental prediction.There is little evidence of a common genetic variant contributing to moderate risk of ischemic stroke. Quintiles based on genetic loading of alleles associated with a younger age at onset of ischemic stroke revealed a significant difference in age at onset between those in the upper and lower quintiles. Using common variants from GWAS and imputation, genomic profiling remains inferior to family history of stroke for defining risk. Inclusion of genomic (rare variant) information may be required to improve clinical risk profiling.http://europepmc.org/articles/PMC3177829?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author James F Meschia
Andrew Singleton
Michael A Nalls
Stephen S Rich
Pankaj Sharma
Luigi Ferrucci
Mar Matarin
Dena G Hernandez
Kerra Pearce
Thomas G Brott
Robert D Brown
John Hardy
Bradford B Worrall
spellingShingle James F Meschia
Andrew Singleton
Michael A Nalls
Stephen S Rich
Pankaj Sharma
Luigi Ferrucci
Mar Matarin
Dena G Hernandez
Kerra Pearce
Thomas G Brott
Robert D Brown
John Hardy
Bradford B Worrall
Genomic risk profiling of ischemic stroke: results of an international genome-wide association meta-analysis.
PLoS ONE
author_facet James F Meschia
Andrew Singleton
Michael A Nalls
Stephen S Rich
Pankaj Sharma
Luigi Ferrucci
Mar Matarin
Dena G Hernandez
Kerra Pearce
Thomas G Brott
Robert D Brown
John Hardy
Bradford B Worrall
author_sort James F Meschia
title Genomic risk profiling of ischemic stroke: results of an international genome-wide association meta-analysis.
title_short Genomic risk profiling of ischemic stroke: results of an international genome-wide association meta-analysis.
title_full Genomic risk profiling of ischemic stroke: results of an international genome-wide association meta-analysis.
title_fullStr Genomic risk profiling of ischemic stroke: results of an international genome-wide association meta-analysis.
title_full_unstemmed Genomic risk profiling of ischemic stroke: results of an international genome-wide association meta-analysis.
title_sort genomic risk profiling of ischemic stroke: results of an international genome-wide association meta-analysis.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description Familial aggregation of ischemic stroke derives from shared genetic and environmental factors. We present a meta-analysis of genome-wide association scans (GWAS) from 3 cohorts to identify the contribution of common variants to ischemic stroke risk.This study involved 1464 ischemic stroke cases and 1932 controls. Cases were genotyped using the Illumina 610 or 660 genotyping arrays; controls, with Illumina HumanHap 550Kv1 or 550Kv3 genotyping arrays. Imputation was performed with the 1000 Genomes European ancestry haplotypes (August 2010 release) as a reference. A total of 5,156,597 single-nucleotide polymorphisms (SNPs) were incorporated into the fixed effects meta-analysis. All SNPs associated with ischemic stroke (P<1×10(-5)) were incorporated into a multivariate risk profile model.No SNP reached genome-wide significance for ischemic stroke (P<5×10(-8)). Secondary analysis identified a significant cumulative effect for age at onset of stroke (first versus fifth quintile of cumulative profiles based on SNPs associated with late onset, ß = 14.77 [10.85,18.68], P = 5.5×10(-12)), as well as a strong effect showing increased risk across samples with a high propensity for stroke among samples with enriched counts of suggestive risk alleles (P<5×10(-6)). Risk profile scores based only on genomic information offered little incremental prediction.There is little evidence of a common genetic variant contributing to moderate risk of ischemic stroke. Quintiles based on genetic loading of alleles associated with a younger age at onset of ischemic stroke revealed a significant difference in age at onset between those in the upper and lower quintiles. Using common variants from GWAS and imputation, genomic profiling remains inferior to family history of stroke for defining risk. Inclusion of genomic (rare variant) information may be required to improve clinical risk profiling.
url http://europepmc.org/articles/PMC3177829?pdf=render
work_keys_str_mv AT jamesfmeschia genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT andrewsingleton genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT michaelanalls genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT stephensrich genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT pankajsharma genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT luigiferrucci genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT marmatarin genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT denaghernandez genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT kerrapearce genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT thomasgbrott genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT robertdbrown genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT johnhardy genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
AT bradfordbworrall genomicriskprofilingofischemicstrokeresultsofaninternationalgenomewideassociationmetaanalysis
_version_ 1725798199705206784