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Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities.
Stroke ( IF 8.3 ) Pub Date : 2020-06-10 , DOI: 10.1161/strokeaha.119.027544
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 20, 21, 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 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 3, 38 , 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 40, 54 , 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
Affiliation  

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.

中文翻译:

常见的遗传变异表明脑室周围和深部白质高信号的不同原因。

背景和目的:脑室周围白质高信号 (WMH; PVWMH) 和深部 WMH (DWMH) 是 WMH 的区域分类,反映了所提出的病因差异。迄今为止,在第一项研究中,我们对 DWMH 和 PVWMH 进行了全基因组关联分析,以表明这些表型具有不同的遗传基础。方法:参与者年龄在 45 岁及以上,没有中风和痴呆症。我们对来自 CHARGE(基因组流行病学心脏和衰老研究队列)、ENIGMA(通过元分析增强神经成像遗传学)和 UKB(英国生物库)的 26,654 名参与者进行了 PVWMH 和 DWMH 的全基因组关联分析。使用全基因组关联分析成对方法研究区域相关性。PVWMH、DWMH、中风、NBEAL )、10q23.1 ( TSPAN14/FAM231A ) 和 10q24.33 ( SH3PXD2A)。在对所有队列进行的更大范围的综合荟萃分析中,我们确定了 PVWMH 的 10 个重要区域:染色体 2(3 个区域)、6、7、10(2 个区域)、13、16 和 17q23.1。新的感兴趣位点包括 7q36.1 ( NOS3 ) 和 16q24.2。在发现/复制和组合分析中,我们发现 DWMH 和 PVWMH 的 17q25.1 基因座的全基因组显着关联。使用基于基因的关联分析,仅针对 PVWMH 确定了所有地区的 19 个基因,包括新基因:CALCRL (2q32.1)、KLHL24 (3q27.1)、VCAN (5q27.1) 和POLR2F(22q13.1)。17q25.1 基因座中的 13 个基因对两种表型都很重要。观察到 PVWMH 与小血管缺血性卒中存在更广泛的遗传相关性。两种表型都与痴呆症没有关联。结论:我们的研究证实这些表型具有独特且共享的遗传结构。遗传分析表明 PVWMH 与缺血性卒中更相关,而 DWMH 基因座与血管、星形胶质细胞和神经元功能有关。我们的研究证实这些表型是不同的神经影像学分类,并确定了仅与 PVWMH 相关的新候选基因。
更新日期:2020-06-23
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