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Meta-Analysis
. 2020 Jul;51(7):2111-2121.
doi: 10.1161/STROKEAHA.119.027544. Epub 2020 Jun 10.

Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities

Nicola J Armstrong  1 Karen A Mather  2   3 Muralidharan Sargurupremraj  4 Maria J Knol  5 Rainer Malik  6 Claudia L Satizabal  7   8   9 Lisa R Yanek  10 Wei Wen  2 Vilmundur G Gudnason  11   12 Nicole D Dueker  13 Lloyd T Elliott  14   15 Edith Hofer  16   17 Joshua Bis  18 Neda Jahanshad  19 Shuo Li  20 Mark A Logue  21   20   22 Michelle Luciano  23 Markus Scholz  24 Albert V Smith  12 Stella Trompet  25   26 Dina Vojinovic  5 Rui Xia  27 Fidel Alfaro-Almagro  15 David Ames  28   29 Najaf Amin  5 Philippe Amouyel  30   31 Alexa S Beiser  8   9   20 Henry Brodaty  2   32 Ian J Deary  23 Christine Fennema-Notestine  33   34 Piyush G Gampawar  35 Rebecca Gottesman  36 Ludovica Griffanti  15 Clifford R Jack Jr  37 Mark Jenkinson  15 Jiyang Jiang  2 Brian G Kral  10 John B Kwok  38   39 Leonie Lampe  40 David C M Liewald  23 Pauline Maillard  41 Jonathan Marchini  42 Mark E Bastin  23   43 Bernard Mazoyer  44 Lukas Pirpamer  45 José Rafael Romero  8   9 Gennady V Roshchupkin  5   46 Peter R Schofield  38   3 Matthias L Schroeter  47   48   49 David J Stott  50 Anbupalam Thalamuthu  2   3 Julian Trollor  2   51 Christophe Tzourio  4   52 Jeroen van der Grond  53 Meike W Vernooij  5   46 Veronica A Witte  54   40 Margaret J Wright  55   56 Qiong Yang  20 Zoe Morris  57 Siggi Siggurdsson  7   8   9 Bruce Psaty  18 Arno Villringer  48   49 Helena Schmidt  35 Asta K Haberg  58   59 Cornelia M van Duijn  5   60 J Wouter Jukema  61   62 Martin Dichgans  6   63   64 Ralph L Sacco  65   66   67 Clinton B Wright  68 William S Kremen  69   70 Lewis C Becker  10 Paul M Thompson  19 Thomas H Mosley  71 Joanna M Wardlaw  23   43 M Arfan Ikram  5 Hieab H H Adams  5   46   72 Sudha Seshadri  11 Perminder S Sachdev  2   73 Stephen M Smith  15 Lenore Launer  74 William Longstreth  18 Charles DeCarli  75 Reinhold Schmidt  16 Myriam Fornage  27   76 Stephanie Debette  4   77 Paul A Nyquist  10   78   79
Affiliations
Meta-Analysis

Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities

Nicola J Armstrong et al. Stroke. 2020 Jul.

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 genome-wide 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 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.

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.

Keywords: brain; genome-wide association study; neuroimaging; risk factors; white matter.

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Figures

Figure 1.
Figure 1.
(A) Phase II GWAS meta-analysis. Miami plot for PVWMH (upper panel) and DWMH (lower panel). Dashed line shows genome-wide significance threshold (p<5e-8). (B) Chr17 regional plot of genome-wide significant SNPs for DWMH. Colors of the SNPs indicate the level of LD with the top SNP (purple), rs35392904.
Figure 2.
Figure 2.
(A) Overlap between genome-wide significant SNPs (p<5e-8) for DWMH and PVWMH. (B - C) Circos plots for chr17 for both phenotypes, showing two identified regions for PVWMH (B) but only one for DWMH (C). Outer ring shows SNPs <0.05 with the most significant SNPs located towards the outermost ring. SNPs in high LD with the independent significant SNPs in each locus are colored in red (r2>0.8)-blue (r2>0.2); no LD (grey). Genomic risk loci are colored in dark blue (2nd layer). Genes are mapped by chromatin interaction (orange), eQTL (green) or both (red). (D) Overlap between significant genes identified by MAGMA for both phenotypes.
Figure 3.
Figure 3.
Genetic correlations (rg) between DWMH, PVWMH, Alzheimer’s disease (AD) and stroke phenotypes. Horizontal bars represent standard errors and the size of the square corresponds precision. SVD = small vessel disease stroke, All ICH = All intracranial hemorrhage, Deep ICH = deep intracranial hemorrhage, Lobar ICH = lobar intracranial hemorrhage

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