Sökning: WFRF:(Lindgren N) > (2015-2019) > Genetic and lifesty...
Fältnamn | Indikatorer | Metadata |
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000 | 09130naa a2202233 4500 | |
001 | oai:gup.ub.gu.se/279500 | |
003 | SwePub | |
008 | 240910s2019 | |||||||||||000 ||eng| | |
024 | 7 | a https://gup.ub.gu.se/publication/2795002 URI |
024 | 7 | a https://doi.org/10.1212/wnl.00000000000068512 DOI |
040 | a (SwePub)gu | |
041 | a eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Chauhan, G.4 aut |
245 | 1 0 | a Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting |
264 | c 2019-01-16 | |
264 | 1 | b Ovid Technologies (Wolters Kluwer Health),c 2019 |
520 | a ObjectiveTo explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts.MethodsWe 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.ResultsThe 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 x 10(-8); and LINC00539/ZDHHC20, p = 5.82 x 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 x 10(-25); p([SSBI]) = 5.23 x 10(-14) for hypertension), smoking (p([BI]) = 4.4 x 10(-10); p([SSBI]) = 1.2 x 10(-4)), diabetes (p([BI]) = 1.7 x 10(-8); p([SSBI]) = 2.8 x 10(-3)), previous cardiovascular disease (p([BI]) = 1.0 x 10(-18); p([SSBI]) = 2.3 x 10(-7)), stroke (p([BI]) = 3.9 x 10(-69); p([SSBI]) = 3.2 x 10(-24)), and MRI-defined white matter hyperintensity burden (p([BI]) = 1.43 x 10(-157); p([SSBI]) = 3.16 x 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.ConclusionIn 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. | |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Neurovetenskaper0 (SwePub)301052 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Neurosciences0 (SwePub)301052 hsv//eng |
653 | a genome-wide association | |
653 | a matter hyperintensity volume | |
653 | a small vessel | |
653 | a disease | |
653 | a mendelian randomization | |
653 | a ischemic-stroke | |
653 | a blood-pressure | |
653 | a silent | |
653 | a metaanalysis | |
653 | a polymorphisms | |
653 | a insights | |
653 | a Neurosciences & Neurology | |
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710 | 2 | a Göteborgs universitetb Institutionen för biomedicin4 org |
773 | 0 | t Neurologyd : Ovid Technologies (Wolters Kluwer Health)g 92:5q 92:5x 0028-3878x 1526-632X |
856 | 4 | u https://n.neurology.org/content/neurology/92/5/e486.full.pdf |
856 | 4 8 | u https://gup.ub.gu.se/publication/279500 |
856 | 4 8 | u https://doi.org/10.1212/wnl.0000000000006851 |
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