학술논문

Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities
Document Type
article
Author
Armstrong, Nicola JMather, Karen ASargurupremraj, MuralidharanKnol, Maria JMalik, RainerSatizabal, Claudia LYanek, Lisa RWen, WeiGudnason, Vilmundur GDueker, Nicole DElliott, Lloyd THofer, EdithBis, JoshuaJahanshad, NedaLi, ShuoLogue, Mark ALuciano, MichelleScholz, MarkusSmith, Albert VTrompet, StellaVojinovic, DinaXia, RuiAlfaro-Almagro, FidelAmes, DavidAmin, NajafAmouyel, PhilippeBeiser, Alexa SBrodaty, HenryDeary, Ian JFennema-Notestine, ChristineGampawar, Piyush GGottesman, RebeccaGriffanti, LudovicaJack, Clifford RJenkinson, MarkJiang, JiyangKral, Brian GKwok, John BLampe, LeonieC.M. Liewald, DavidMaillard, PaulineMarchini, JonathanBastin, Mark EMazoyer, BernardPirpamer, LukasRafael Romero, JoséRoshchupkin, Gennady VSchofield, Peter RSchroeter, Matthias LStott, David JThalamuthu, AnbupalamTrollor, JulianTzourio, Christophevan der Grond, JeroenVernooij, Meike WWitte, Veronica AWright, Margaret JYang, QiongMorris, ZoeSiggurdsson, SiggiPsaty, BruceVillringer, ArnoSchmidt, HelenaHaberg, Asta Kvan Duijn, Cornelia MJukema, J WouterDichgans, MartinSacco, Ralph LWright, Clinton BKremen, William SBecker, Lewis CThompson, Paul MMosley, Thomas HWardlaw, Joanna MIkram, M ArfanAdams, Hieab HHSeshadri, SudhaSachdev, Perminder SSmith, Stephen MLauner, LenoreLongstreth, WilliamDeCarli, CharlesSchmidt, ReinholdFornage, MyriamDebette, StephanieNyquist, Paul A
Source
Stroke. 51(7)
Subject
Epidemiology
Health Sciences
Dementia
Acquired Cognitive Impairment
Aging
Neurosciences
Genetics
Stroke
Brain Disorders
Biotechnology
Clinical Research
Human Genome
Prevention
Aetiology
2.1 Biological and endogenous factors
Neurological
Aged
Brain
Cerebral Small Vessel Diseases
Female
Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
Male
Middle Aged
White Matter
brain
genome-wide association study
neuroimaging
risk factors
white matter
Cardiorespiratory Medicine and Haematology
Clinical Sciences
Neurology & Neurosurgery
Clinical sciences
Allied health and rehabilitation science
Language
Abstract
Background and purposePeriventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings.MethodsParticipants were aged 45 years and older, free of stroke and dementia. We conducted genome-wide association analyses of PVWMH and DWMH in 26,654 participants from CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology), ENIGMA (Enhancing Neuro-Imaging Genetics Through Meta-Analysis), and the UKB (UK Biobank). Regional correlations were investigated using the genome-wide association analyses -pairwise method. Cross-trait genetic correlations between PVWMH, DWMH, stroke, and dementia were estimated using LDSC.ResultsIn the discovery and replication analysis, for PVWMH only, we found associations on chromosomes 2 (NBEAL), 10q23.1 (TSPAN14/FAM231A), and 10q24.33 (SH3PXD2A). In the much larger combined meta-analysis of all cohorts, we identified ten significant regions for PVWMH: chromosomes 2 (3 regions), 6, 7, 10 (2 regions), 13, 16, and 17q23.1. New loci of interest include 7q36.1 (NOS3) and 16q24.2. In both the discovery/replication and combined analysis, we found genome-wide significant associations for the 17q25.1 locus for both DWMH and PVWMH. Using gene-based association analysis, 19 genes across all regions were identified for PVWMH only, including the new genes: CALCRL (2q32.1), KLHL24 (3q27.1), VCAN (5q27.1), and POLR2F (22q13.1). Thirteen genes in the 17q25.1 locus were significant for both phenotypes. More extensive genetic correlations were observed for PVWMH with small vessel ischemic stroke. There were no associations with dementia for either phenotype.ConclusionsOur study confirms these phenotypes have distinct and also shared genetic architectures. Genetic analyses indicated PVWMH was more associated with ischemic stroke whilst DWMH loci were implicated in vascular, astrocyte, and neuronal function. Our study confirms these phenotypes are distinct neuroimaging classifications and identifies new candidate genes associated with PVWMH only.