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Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting


Title: Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting
Author: Chauhan, Ganesh
Adams, Hieab H.H.
Satizabal, Claudia L.
Bis, Joshua C.
Teumer, Alexander
Sargurupremraj, Muralidharan
Hofer, Edith
Trompet, Stella
Hilal, Saima
Smith, Albert Vernon   orcid.org/0000-0003-1942-5845
... 140 more authors Show all authors
Date: 2019-01-29
Language: English
Scope: e486-e503
University/Institute: Háskóli Íslands
University of Iceland
School: Heilbrigðisvísindasvið (HÍ)
School of Health Sciences (UI)
Department: Læknadeild (HÍ)
Faculty of Medicine (UI)
Series: Neurology;92(5)
ISSN: 0028-3878
1526-632X (eISSN)
DOI: 10.1212/WNL.0000000000006851
Subject: Clinical Neurology; MRI; Brain infarcts; Meta-analyses; GWAS; Taugasjúkdómar; Heilaskaði; Erfðarannsóknir
URI: https://hdl.handle.net/20.500.11815/1824

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Citation:

Chauhan, Ganesh et al., 2019. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting., pp.Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting. 2019, 92(5): E486–E503 Neurology.

Abstract:

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.

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This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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