https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43392 Wed 22 Mar 2023 15:32:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24491 -6) from community populations (15 single nucleotide polymorphisms in total) and from stroke patients, 6 independent loci were associated with WMHV in both populations. Four of these are novel associations at the genome-wide level (rs72934505 [NBEAL1], p 2.2 x 10^-8; rs941898 [EVL], p 4.0 x 10^-8; rs962888 [C1QL1], p 1.1 x 10^-8; rs9515201 [COL4A2], p 6.9 x 10^-9). Conclusions: Genetic associations with WMHV are shared in otherwise healthy individuals and patients with stroke, indicating common genetic susceptibility in cerebral small vessel disease.]]> Wed 15 Dec 2021 16:08:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13946 Wed 11 Apr 2018 09:27:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27769 SNP]) and tested the hypothesis that WMH heritability differs between hypertensive and nonhypertensive individuals. Methods: 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 H_SNP for WMHV overall and within subgroups stratified by risk factors found to be significant in multivariate analyses. Results: A significant proportion of the variance of WMHV was attributable to common SNPs after adjustment for significant risk factors (H_SNP=0.23; P=0.0026). H_SNP estimates were higher among hypertensive individuals (H_SNP=0.45; P=7.99x10^-5); this increase was greater than expected by chance (P=0.012). In contrast, estimates were lower, and nonsignificant, in nonhypertensive individuals (H_SNP=0.13; P=0.13). Conclusions: A quarter of variance is attributable to common SNPs, but this estimate was greater in hypertensive individuals. These findings suggest that the genetic architecture of WMH in ischemic stroke differs between hypertensives and nonhypertensives. Future WMHV GWAS studies may gain power by accounting for this interaction.]]> Tue 21 Jul 2020 09:44:12 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27705 0.9 between SNPs). Although SNPs associated with deep intracerebral hemorrhage did not reach our significance threshold for association with lacunar ischemic stroke (lead SNP OR 1.10, 95% CI 1.03-1.18, p = 0.0073), and with white matter hyperintensity volume in symptomatic ischemic stroke patients (lead SNP OR 1.07, 95% CI 1.01-1.13, p = 0.016), the direction of association was the same. There was no convincing evidence of association with white matter hyperintensities in population-based studies or with non-small vessel disease cerebrovascular phenotypes. Conclusions: Our results indicate an association between common variation in the COL4A2 gene and symptomatic small vessel disease, particularly deep intracerebral hemorrhage. These findings merit replication studies, including in ethnic groups of non-European ancestry.]]> Tue 21 Jul 2020 09:43:56 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27063 2000 trait-associated genetic variants. Because most of these variants have individually small effects on disease risk, successful gene discovery efforts have required large sample sizes (involving thousands, tens, or hundreds of thousands of cases and controls) to achieve sufficient study power. Amassing such sample sizes has depended on international collaboration on a scale never seen before in human genetics or even in clinical research. Disease-specific consortia bringing together many individual sites and collaborators have now evolved for many major diseases. Each consortium has faced with ≥2 fundamental questions: how to assemble a study sample of sufficient size, homogeneity, and phenotypic quality and how to retain and analyze, sometimes repeatedly over several years, biological samples from enrolled subjects.]]> Thu 10 Sep 2020 18:07:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25883 Sat 24 Mar 2018 07:25:54 AEDT ]]>