2 research outputs found
Analysis of spatial spectral features of dynamic contrast-enhanced brain magnetic resonance images for studying small vessel disease
Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting
OBJECTIVE: To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts.METHODS: We
performed meta-analyses of genome-wide association studies (GWAS) and
examined associations of vascular risk factors and their genetic risk
scores (GRS) with MRI-defined BI and a subset of BI, namely, small
subcortical BI (SSBI), in 18 population-based cohorts (n = 20,949) from 5
ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up
in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with
SBBI), and we tested associations with related phenotypes including
ischemic stroke and pathologically defined BI.RESULTS: The
mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising
after age 65. Two loci showed genome-wide significant association with
BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9.
Both have been associated with blood pressure (BP)-related phenotypes,
but did not replicate in the smaller follow-up sample or show
associations with related phenotypes. Age- and sex-adjusted associations
with BI and SSBI were observed for BP traits (p value for BI, p [BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p [BI] = 4.4 × 10-10; p [SSBI] = 1.2 × 10-4), diabetes (p [BI] = 1.7 × 10-8; p [SSBI] = 2.8 × 10-3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10-24), and MRI-defined white matter hyperintensity burden (p [BI] = 1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy.CONCLUSION: In
this multiethnic GWAS meta-analysis, including over 20,000
population-based participants, we identified genetic risk loci for BI
requiring validation once additional large datasets become available.
High BP, including genetically determined, was the most significant
modifiable, causal risk factor for BI.</p