Abstract
BACKGROUND AND PURPOSE: Periventricular 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 genomewide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings. METHODS: Participants 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. RESULTS: In 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 genomewide 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. CONCLUSIONS: Our 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.
Original language | English |
---|---|
Pages (from-to) | 2112-2121 |
Number of pages | 10 |
Journal | Stroke |
Volume | 51 |
Issue number | 7 |
DOIs | |
State | Published - Jul 2020 |
Externally published | Yes |
Keywords
- Brain
- Genome-wide association study
- Neuroimaging
- Risk factors
- White matter
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In: Stroke, Vol. 51, No. 7, 07.2020, p. 2112-2121.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities
AU - Armstrong, Nicola J.
AU - Mather, Karen A.
AU - Sargurupremraj, Muralidharan
AU - Knol, Maria J.
AU - Malik, Rainer
AU - Satizabal, Claudia L.
AU - Yanek, Lisa R.
AU - Wen, Wei
AU - Gudnason, Vilmundur G.
AU - Dueker, Nicole D.
AU - Elliott, Lloyd T.
AU - Hofer, Edith
AU - Bis, Joshua
AU - Jahanshad, Neda
AU - Li, Shuo
AU - Logue, Mark A.
AU - Luciano, Michelle
AU - Scholz, Markus
AU - Smith, Albert V.
AU - Trompet, Stella
AU - Vojinovic, Dina
AU - Xia, Rui
AU - Alfaro-Almagro, Fidel
AU - Ames, David
AU - Amin, Najaf
AU - Amouyel, Philippe
AU - Beiser, Alexa S.
AU - Brodaty, Henry
AU - Deary, Ian J.
AU - Fennema-Notestine, Christine
AU - Gampawar, Piyush G.
AU - Gottesman, Rebecca
AU - Griffanti, Ludovica
AU - Jack, Clifford R.
AU - Jenkinson, Mark
AU - Jiang, Jiyang
AU - Kral, Brian G.
AU - Kwok, John B.
AU - Lampe, Leonie
AU - Liewald, David C.M.
AU - Maillard, Pauline
AU - Marchini, Jonathan
AU - Bastin, Mark E.
AU - Mazoyer, Bernard
AU - Pirpamer, Lukas
AU - Romero, José Rafael
AU - Roshchupkin, Gennady V.
AU - Schofield, Peter R.
AU - Schroeter, Matthias L.
AU - Stott, David J.
AU - Thalamuthu, Anbupalam
AU - Trollor, Julian
AU - Tzourio, Christophe
AU - van der Grond, Jeroen
AU - Vernooij, Meike W.
AU - Witte, Veronica A.
AU - Wright, Margaret J.
AU - Yang, Qiong
AU - Morris, Zoe
AU - Siggurdsson, Siggi
AU - Psaty, Bruce
AU - Villringer, Arno
AU - Schmidt, Helena
AU - Haberg, Asta K.
AU - van Duijn, Cornelia M.
AU - Wouter Jukema, J.
AU - Dichgans, Martin
AU - Sacco, Ralph L.
AU - Wright, Clinton B.
AU - Kremen, William S.
AU - Becker, Lewis C.
AU - Thompson, Paul M.
AU - Mosley, Thomas H.
AU - Wardlaw, Joanna M.
AU - Ikram, M. Arfan
AU - Adams, Hieab H.H.
AU - Seshadri, Sudha
AU - Sachdev, Perminder S.
AU - Smith, Stephen M.
AU - Launer, Lenore
AU - Longstreth, William
AU - DeCarli, Charles
AU - Schmidt, Reinhold
AU - Fornage, Myriam
AU - Debette, Stephanie
AU - Nyquist, Paul A.
N1 - Funding Information: This work is supported by the National Institute of Neurological Disorders and Stroke, National Institutes of Health, R01AG059874, P41EB015922, R56AG058854, U54 EB020403, R01AG022381, U54EB020403, R01AG059874, and R01NS115845. Medical Research Council, Age UK, Scottish Funding Council, Row Fogo Trust, The Welcome Trust, Age UK, Cross Council Lifelong Health and Wellbeing Initiative, Leverhulme Trust, National Institute for Health Research, Biotechnology and Biological Sciences Research Council, UK Medical Research Council, Icelandic Heart Association, and the Althingi, Austrian Science Fund (FWF), Australian National Health and Medical Research Council, Austrian National Bank, Anniversary Fund, European Commission FP6 STRP, European Community’s 5th and 7th Framework Program, Netherlands Organization for Scientific Research, Netherlands Consortium for Healthy Aging, Russian Foundation for Basic Research, Russian Federal Agency of Scientific Organizations, Liaison Committee between the Central Norway Regional Health Authority and the Norwegian University of Science and Technology, Norwegian National Advisory Unit for functional magnetic resonance imaging (MRI), Leipzig Research Center for Civilization Diseases (LIFE), Bristol-Myers Squibb, Netherlands Heart Foundation, French National Research Agency (ANR), Foundation Leducq, Joint Programme of Neurodegenerative Disease research, Bordeaux University, Institut Pasteur de Lille, the labex DISTALZ and the Centre National de Génotypage. Deutsche Forschungsgesellschaft (DFG) no. WI 3342/3-1 and grants from European Union, European Regional Development Fund, Free State of Saxony within the framework of the excellence initiative, LIFE-Leipzig Research Center for Civilization Diseases no. 100329290, 713-241202, 14505/2470, 14575/2470. Max Planck Society, State of Saxony, Brain Foundation, Bristol-Myers Squibb, National Health and Medical Research Council (NHMRC) of Australia, NHMRC of Australia, Parkinson’s UK; Medical Research Council - Dementias Platform UK, National Institute on Aging, Bethesda, MD, P30 AG 010129 Full details of funding support for each cohort are detailed in the Data Supplement. Funding Information: Dr Marchini is an employee of, and owns stock and stock options for, Regen-eron Pharmaceuticals; Dr Sachdev received personal fees from Biogen; Henry Brodaty, Advisory Board member, Nutricia Australia; Philippe Amouyel, advisor for Foundation Alzheimer non-profit organization and for Genoscreen Biotech company; Christine Fennema-Notestine, received finding from National Institutes of Health Grants R01AG022381; Dr Gottesman, American Academy of Neurology, Associate Editor, Neurology; Drs Thompson and Jahanshad received grant support from Biogen Inc for work unrelated to the contents of this manuscript. Dr DeCarli, consultant to Novartis; Markus Scholz disclosed Pfizer, Inc, grants; Ralph Sacco, grant support from Boehringer Ingelheim, National Institute of Neurological Disorders and Stroke Grants; Dr Wardlaw, grant support from the Medical Research Council, Age UK, Scottish Funding Council, and Row Fogo Trust during the conduct of the study and grant support from Fondation Leducq, Wellcome Trust, Engineering and Physical Sciences Research Council, Chest Heart Stroke Scotland, British Heart Foundation, Stroke Association, Alzheimer’s Society and Alzheimer’s Research UK outside the submitted work. The other authors report no conflicts. Funding Information: This work is supported by the National Institute of Neurological Disorders and Stroke, National Institutes of Health, R01AG059874, P41EB015922, R56AG058854, U54 EB020403, R01AG022381, U54EB020403, R01AG059874, and R01NS115845. Medical Research Council, Age UK, Scottish Funding Council, Row Fogo Trust, The Welcome Trust, Age UK, Cross Council Lifelong Health and Wellbeing Initiative, Leverhulme Trust, National Institute for Health Research, Biotechnology and Biological Sciences Research Council, UK Medical Research Council, Icelandic Heart Association, and the Althingi, Austrian Science Fund (FWF), Australian National Health and Medical Research Council, Austrian National Bank, Anniversary Fund, European Commission FP6 STRP, European Community’s 5th and 7th Framework Program, Netherlands Organization for Scientific Research, Netherlands Consortium for Healthy Aging, Russian Foundation for Basic Research, Russian Federal Agency of Scientific Organizations, Liaison Committee between the Central Norway Regional Health Authority and the Norwegian University of Science and Technology, Norwegian National Advisory Unit for functional magnetic resonance imaging (MRI), Leipzig Research Center for Civilization Diseases (LIFE), Bristol-Myers Squibb, Netherlands Heart Foundation, French National Research Agency (ANR), Foundation Leducq, Joint Programme of Neurodegenerative Disease research, Bordeaux University, Institut Pasteur de Lille, the labex DIS-TALZ and the Centre National de Génotypage. Deutsche Forschungsgesell-schaft (DFG) no. WI 3342/3-1 and grants from European Union, European Regional Development Fund, Free State of Saxony within the framework of the excellence initiative, LIFE-Leipzig Research Center for Civilization Diseases no. 100329290, 713-241202, 14505/2470, 14575/2470. Max Planck Society, State of Saxony, Brain Foundation, Bristol-Myers Squibb, National Health and Medical Research Council (NHMRC) of Australia, NHMRC of Australia, Parkinson’s UK; Medical Research Council - Dementias Platform UK, National Institute on Aging, Bethesda, MD, P30 AG 010129 Full details of funding support for each cohort are detailed in the Data Supplement. Publisher Copyright: © 2020 American Heart Association, Inc.
PY - 2020/7
Y1 - 2020/7
N2 - BACKGROUND AND PURPOSE: Periventricular 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 genomewide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings. METHODS: Participants 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. RESULTS: In 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 genomewide 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. CONCLUSIONS: Our 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.
AB - BACKGROUND AND PURPOSE: Periventricular 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 genomewide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings. METHODS: Participants 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. RESULTS: In 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 genomewide 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. CONCLUSIONS: Our 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.
KW - Brain
KW - Genome-wide association study
KW - Neuroimaging
KW - Risk factors
KW - White matter
UR - http://www.scopus.com/inward/record.url?scp=85087342729&partnerID=8YFLogxK
U2 - 10.1161/STROKEAHA.119.027544
DO - 10.1161/STROKEAHA.119.027544
M3 - Article
C2 - 32517579
AN - SCOPUS:85087342729
SN - 0039-2499
VL - 51
SP - 2112
EP - 2121
JO - Stroke
JF - Stroke
IS - 7
ER -