{"content"=>"Exome Chip Analysis Identifies Low-Frequency and Rare Variants in for White Matter Hyperintensities on Brain Magnetic Resonance Imaging.", "i"=>{"content"=>"MRPL38"}} (original) (raw)
Related papers
Genome-wide association studies of cerebral white matter lesion burden
Annals of Neurology, 2011
Objective-White matter hyperintensities (WMH) detectable by magnetic resonance imaging (MRI)are part of the spectrum of vascular injury associated with aging of the brain and are thought to reflect ischemic damage to the small deep cerebral vessels. WMH are associated with an increased risk of cognitive and motor dysfunction, dementia, depression, and stroke. Despite a significant heritability, few genetic loci influencing WMH burden have been identified.
Genome-wide association studies of cerebral white matter lesion burden: The CHARGE consortium
Carolina Digital Repository (University of North Carolina at Chapel Hill), 2011
Objective-White matter hyperintensities (WMH) detectable by magnetic resonance imaging (MRI)are part of the spectrum of vascular injury associated with aging of the brain and are thought to reflect ischemic damage to the small deep cerebral vessels. WMH are associated with an increased risk of cognitive and motor dysfunction, dementia, depression, and stroke. Despite a significant heritability, few genetic loci influencing WMH burden have been identified. Methods-We performed a meta-analysis of genome-wide association studies (GWAS) for WMH burden in 9,361 stroke-free individuals of European descent from 7 community-based cohorts. Significant findings were tested for replication in 3,024 individuals from 2 additional cohorts. Results-We identified 6 novel risk-associated single nucleotide polymorphisms (SNPs)in one locus on chromosome 17q25 encompassing 6 known genes including WBP2, TRIM65, TRIM47, MRPL38, FBF1, and ACOX1. The most significant association was for rs3744028 (P discovery = 4.0×10 −9 ; P replication =1.3×10 −7 ; P combined =4.0×10 −15). Other SNPs in this region also reaching genome-wide significance are rs9894383 (P=5.3×10 −9), rs11869977 (P=5.7×10 −9), rs936393 (P=6.8×10 −9), rs3744017 (P=7.3×10 −9), and rs1055129 (P=4.1×10 −8). Variant alleles at these loci conferred a small increase in WMH burden (4-8% of the overall mean WMH burden in the sample). Interpretation-This large GWAS of WMH burden in community-based cohorts of individuals of European descent identifies a novel locus on chromosome 17. Further characterization of this locus may provide novel insights into the pathogenesis of cerebral WMH.
Stroke; a journal of cerebral circulation, 2014
White matter hyperintensities (WMH) on MRI are a quantitative marker for sporadic cerebral small vessel disease and are highly heritable. To date, large-scale genetic studies have identified only a single locus influencing WMH burden. This might in part relate to biological heterogeneity of sporadic WMH. The current study searched for genetic modifiers of WMH volume in cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), a monogenic small vessel disease. We performed a genome-wide association study to identify quantitative trait loci for WMH volume by combining data from 517 CADASIL patients collected through 7 centers across Europe. WMH volumes were centrally analyzed and quantified on fluid attenuated inversion recovery images. Genotyping was performed using the Affymetrix 6.0 platform. Individuals were assigned to 2 distinct genetic clusters (cluster 1 and cluster 2) based on their genetic background. Four hundred sixty-six patient...
Genome-wide scan in Hispanics highlights candidate loci for brain white matter hyperintensities
Neurology Genetics, 2017
Objective:To investigate genetic variants influencing white matter hyperintensities (WMHs) in the understudied Hispanic population.Methods:Using 6.8 million single nucleotide polymorphisms (SNPs), we conducted a genome-wide association study (GWAS) to identify SNPs associated with WMH volume (WMHV) in 922 Hispanics who underwent brain MRI as a cross-section of 2 community-based cohorts in the Northern Manhattan Study and the Washington Heights–Inwood Columbia Aging Project. Multiple linear modeling with PLINK was performed to examine the additive genetic effects on ln(WMHV) after controlling for age, sex, total intracranial volume, and principal components of ancestry. Gene-based tests of association were performed using VEGAS. Replication was performed in independent samples of Europeans, African Americans, and Asians.Results:From the SNP analysis, a total of 17 independent SNPs in 7 genes had suggestive evidence of association with WMHV in Hispanics (p < 1 × 10−5) and 5 genes f...
We conducted a genome-wide association meta-analysis of two ischemic white matter disease subtypes in the brain, periventricular and deep white matter hyperintensities (PVWMH and DWMH). In 26,654 participants, we found 10 independent genome-wide significant loci only associated with PVWMH, four of which have not been described previously for total WMH burden (16q24.2, 17q21.31, 10q23.1, 7q36.1). Additionally, in both PVWMH and DWMH we observed the previous association of the 17q25.1 locus with total WMH. We found that both phenotypes have shared but also distinct genetic architectures, consistent with both different underlying and related pathophysiology. PVWMH had more extensive genetic overlap with small vessel ischemic stroke, and unique associations with several loci implicated in ischemic stroke. DWMH were characterized by associations with loci previously implicated in vascular as well as astrocytic and neuronal function. Our study confirms the utility of these phenotypes and ...
White Matter Lesion Progression: Genome-Wide Search for Genetic Influences
Stroke; a journal of cerebral circulation, 2015
White matter lesion (WML) progression on magnetic resonance imaging is related to cognitive decline and stroke, but its determinants besides baseline WML burden are largely unknown. Here, we estimated heritability of WML progression, and sought common genetic variants associated with WML progression in elderly participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. Heritability of WML progression was calculated in the Framingham Heart Study. The genome-wide association study included 7773 elderly participants from 10 cohorts. To assess the relative contribution of genetic factors to progression of WML, we compared in 7 cohorts risk models including demographics, vascular risk factors plus single-nucleotide polymorphisms that have been shown to be associated cross-sectionally with WML in the current and previous association studies. A total of 1085 subjects showed WML progression. The heritability estimate for WML progression was low at...
Stroke; a journal of cerebral circulation, 2015
Epidemiological studies suggest that white matter hyperintensities (WMH) are extremely heritable, but the underlying genetic variants are largely unknown. Pathophysiological heterogeneity is known to reduce the power of genome-wide association studies (GWAS). Hypertensive and nonhypertensive individuals with WMH might have different underlying pathologies. We used GWAS data to calculate the variance in WMH volume (WMHV) explained by common single nucleotide polymorphisms (SNPs) as a measure of heritability (SNP heritability [HSNP]) and tested the hypothesis that WMH heritability differs between hypertensive and nonhypertensive individuals. WMHV was measured on MRI in the stroke-free cerebral hemisphere of 2336 ischemic stroke cases with GWAS data. After adjustment for age and intracranial volume, we determined which cardiovascular risk factors were independent predictors of WMHV. Using the genome-wide complex trait analysis tool to estimate HSNP for WMHV overall and within subgroups...
Stroke, 2009
Background and Purpose-White matter hyperintensities (WMH) are highly heritable and associated with small artery ischemic stroke, so they may be a useful trait for studying the genetics of small vessel disease. Many studies have attempted to find associations between polymorphisms in various candidate genes and WMH. We aimed to evaluate the evidence for these associations by performing a systematic review and series of meta-analyses. Methods-We used a comprehensive search strategy to identify studies of the association between any genetic polymorphism and WMH. For all polymorphisms in genes studied in Ͼ2000 subjects we performed meta-analyses, calculating pooled odds ratios or standardized mean differences. Results-We identified 46 studies of polymorphisms in 19 genes in Ϸ19 000 subjects. Most genes were involved in lipid metabolism, control of vascular tone, or blood pressure regulation. Polymorphisms in the apolipoprotein E, angiotensinconverting enzyme, methylenetetrahydrofolate reductase, and angiotensinogen genes had been studied in Ͼ2000 subjects and were evaluated by meta-analysis. There was no evidence for an association between apolipoprotein E (4ϩ/Ϫ), methylenetetrahydrofolate reductase (677 cytosine/thymine polymorphism [C/T]), or angiotensinogen (Met235Thr) and WMH. For the angiotensin-converting enzyme insertion/deletion polymorphism (I/D) there appeared to be a significant association (OR, 1.95; 95% CI, 1.09 -3.48), but this may be partly attributable to the small study (mainly publication) and other biases. Conclusion-No genetic polymorphism has yet shown convincing evidence for an association with WMH. Much larger studies will be needed to detect and confirm genetic associations with this promising trait in the era of genome-wide association studies.
Stroke
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 )...