Using Phenotypic Heterogeneity to Increase the Power of Genome-Wide Association Studies: Application to Age at Onset of Ischaemic Stroke Subphenotypes

Genome-wide association studies (GWAS) have been successful in identifying common variants related to complex disorders. However, some disorders have proved resistant to this strategy with few associations confirmed, despite evidence from twin and family studies of a genetic component. Sophisticated...

Full description

Bibliographic Details
Main Authors: Traylor, M, Bevan, S, Rothwell, P, Sudlow, C, Dichgans, M, Markus, H, Lewis, C
Format: Journal article
Language:English
Published: 2013
_version_ 1797091398622642176
author Traylor, M
Bevan, S
Rothwell, P
Sudlow, C
Dichgans, M
Markus, H
Lewis, C
author_facet Traylor, M
Bevan, S
Rothwell, P
Sudlow, C
Dichgans, M
Markus, H
Lewis, C
author_sort Traylor, M
collection OXFORD
description Genome-wide association studies (GWAS) have been successful in identifying common variants related to complex disorders. However, some disorders have proved resistant to this strategy with few associations confirmed, despite evidence from twin and family studies of a genetic component. Sophisticated strategies that account for phenotypic heterogeneity may be required to uncover these genetic contributions. Age at onset is an example of a potential source of this heterogeneity in ischaemic stroke. We explore the contribution of age at onset in the Wellcome Trust Case-Control Consortium 2 ischaemic stroke study. We first examine four established stroke loci in younger onset cases. We extend this to all single-nucleotide polymorphisms (SNPs) genome-wide, testing for stronger association signals in younger subsets of cases. Finally, we estimate the pseudoheritability accounted for by common SNPs present on genome-wide genotyping arrays for cases stratified by age at onset. We find evidence for stronger associations in younger onset cases for the four established stroke loci. Genome-wide, in cardioembolic and small vessel stroke subphenotypes, a significant number of SNPs show stronger association P-values when the oldest cases are removed. Finally, we show that the pseudoheritability estimated by common SNPs in cardioembolic stroke increased from 16.5% for older onset cases to 28.5% for younger onset cases. Our results indicate that age at onset is a valuable measure for case ascertainment and in analysis of GWAS in ischaemic stroke: focussing on younger cases who may have a stronger genetic predisposition increases power to detect associations. © 2013 WILEY PERIODICALS, INC.
first_indexed 2024-03-07T03:32:28Z
format Journal article
id oxford-uuid:bb2b51c3-383e-447c-8607-136610f49eea
institution University of Oxford
language English
last_indexed 2024-03-07T03:32:28Z
publishDate 2013
record_format dspace
spelling oxford-uuid:bb2b51c3-383e-447c-8607-136610f49eea2022-03-27T05:15:05ZUsing Phenotypic Heterogeneity to Increase the Power of Genome-Wide Association Studies: Application to Age at Onset of Ischaemic Stroke SubphenotypesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:bb2b51c3-383e-447c-8607-136610f49eeaEnglishSymplectic Elements at Oxford2013Traylor, MBevan, SRothwell, PSudlow, CDichgans, MMarkus, HLewis, CGenome-wide association studies (GWAS) have been successful in identifying common variants related to complex disorders. However, some disorders have proved resistant to this strategy with few associations confirmed, despite evidence from twin and family studies of a genetic component. Sophisticated strategies that account for phenotypic heterogeneity may be required to uncover these genetic contributions. Age at onset is an example of a potential source of this heterogeneity in ischaemic stroke. We explore the contribution of age at onset in the Wellcome Trust Case-Control Consortium 2 ischaemic stroke study. We first examine four established stroke loci in younger onset cases. We extend this to all single-nucleotide polymorphisms (SNPs) genome-wide, testing for stronger association signals in younger subsets of cases. Finally, we estimate the pseudoheritability accounted for by common SNPs present on genome-wide genotyping arrays for cases stratified by age at onset. We find evidence for stronger associations in younger onset cases for the four established stroke loci. Genome-wide, in cardioembolic and small vessel stroke subphenotypes, a significant number of SNPs show stronger association P-values when the oldest cases are removed. Finally, we show that the pseudoheritability estimated by common SNPs in cardioembolic stroke increased from 16.5% for older onset cases to 28.5% for younger onset cases. Our results indicate that age at onset is a valuable measure for case ascertainment and in analysis of GWAS in ischaemic stroke: focussing on younger cases who may have a stronger genetic predisposition increases power to detect associations. © 2013 WILEY PERIODICALS, INC.
spellingShingle Traylor, M
Bevan, S
Rothwell, P
Sudlow, C
Dichgans, M
Markus, H
Lewis, C
Using Phenotypic Heterogeneity to Increase the Power of Genome-Wide Association Studies: Application to Age at Onset of Ischaemic Stroke Subphenotypes
title Using Phenotypic Heterogeneity to Increase the Power of Genome-Wide Association Studies: Application to Age at Onset of Ischaemic Stroke Subphenotypes
title_full Using Phenotypic Heterogeneity to Increase the Power of Genome-Wide Association Studies: Application to Age at Onset of Ischaemic Stroke Subphenotypes
title_fullStr Using Phenotypic Heterogeneity to Increase the Power of Genome-Wide Association Studies: Application to Age at Onset of Ischaemic Stroke Subphenotypes
title_full_unstemmed Using Phenotypic Heterogeneity to Increase the Power of Genome-Wide Association Studies: Application to Age at Onset of Ischaemic Stroke Subphenotypes
title_short Using Phenotypic Heterogeneity to Increase the Power of Genome-Wide Association Studies: Application to Age at Onset of Ischaemic Stroke Subphenotypes
title_sort using phenotypic heterogeneity to increase the power of genome wide association studies application to age at onset of ischaemic stroke subphenotypes
work_keys_str_mv AT traylorm usingphenotypicheterogeneitytoincreasethepowerofgenomewideassociationstudiesapplicationtoageatonsetofischaemicstrokesubphenotypes
AT bevans usingphenotypicheterogeneitytoincreasethepowerofgenomewideassociationstudiesapplicationtoageatonsetofischaemicstrokesubphenotypes
AT rothwellp usingphenotypicheterogeneitytoincreasethepowerofgenomewideassociationstudiesapplicationtoageatonsetofischaemicstrokesubphenotypes
AT sudlowc usingphenotypicheterogeneitytoincreasethepowerofgenomewideassociationstudiesapplicationtoageatonsetofischaemicstrokesubphenotypes
AT dichgansm usingphenotypicheterogeneitytoincreasethepowerofgenomewideassociationstudiesapplicationtoageatonsetofischaemicstrokesubphenotypes
AT markush usingphenotypicheterogeneitytoincreasethepowerofgenomewideassociationstudiesapplicationtoageatonsetofischaemicstrokesubphenotypes
AT lewisc usingphenotypicheterogeneitytoincreasethepowerofgenomewideassociationstudiesapplicationtoageatonsetofischaemicstrokesubphenotypes