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      LDL-c Lowering, Ischemic Stroke and Small Vessel Disease Brain Imaging Biomarkers: A Mendelian Randomization Study

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          Abstract

          Background

          The effects of lipid-lowering drug targets on different ischemic stroke (IS) subtypes are not fully understood. We aimed to explore the mechanisms by which lipid-lowering drug targets differentially affect the risk of IS subtypes and their underlying pathophysiology.

          Methods

          Using a two-sample Mendelian randomization (MR) approach, we assessed the effects of genetically-proxied low-density lipoprotein cholesterol (LDL-c) and 3 clinically approved LDL-lowering drugs (3-hydroxy-3-methylglutaryl-CoA reductase, HMGCR; proprotein convertase subtilisin/kexin type 9, PCSK9 and Niemann-Pick C1-Like 1, NPC1L1) on stroke subtypes and brain-imaging biomarkers associated with small vessel disease (SVS), including white matter hyperintensity volume (WMHV) and perivascular spaces (PVS).

          Results

          In genome-wide MR analyses, lower genetically predicted LDL-c was significantly associated with a reduced risk of any stroke (AS), IS and large artery stroke (LAS), supporting previous findings. Significant associations between genetically predicted LDL-c and cardioembolic stroke (CES), SVS and biomarkers PVS and WMHV were not identified in this study. In drug-target MR analysis, genetically-proxied reduced LDL-c through NPC1L1 inhibition was associated with lower odds of PVS [Odds ratio (OR) per 1 mg/dL decrease = 0.79; 95% confidence interval (CI) = 0.67-0.93], and with lower odds of SVS [OR= 0.29, 0.10-0.85].

          Conclusions

          This study provides supporting evidence of a potentially protective effect of LDL-c lowering through NPC1L1 inhibition on PVS and SVS risk, highlighting novel therapeutic targets for SVS.

          Abstract

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          Most cited references9

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          PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations

          Abstract Summary PhenoScanner is a curated database of publicly available results from large-scale genetic association studies in humans. This online tool facilitates ‘phenome scans’, where genetic variants are cross-referenced for association with many phenotypes of different types. Here we present a major update of PhenoScanner (‘PhenoScanner V2’), including over 150 million genetic variants and more than 65 billion associations (compared to 350 million associations in PhenoScanner V1) with diseases and traits, gene expression, metabolite and protein levels, and epigenetic markers. The query options have been extended to include searches by genes, genomic regions and phenotypes, as well as for genetic variants. All variants are positionally annotated using the Variant Effect Predictor and the phenotypes are mapped to Experimental Factor Ontology terms. Linkage disequilibrium statistics from the 1000 Genomes project can be used to search for phenotype associations with proxy variants. Availability and implementation PhenoScanner V2 is available at www.phenoscanner.medschl.cam.ac.uk.
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            The power of genetic diversity in genome-wide association studies of lipids

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              A robust and efficient method for Mendelian randomization with hundreds of genetic variants

              Mendelian randomization (MR) is an epidemiological technique that uses genetic variants to distinguish correlation from causation in observational data. The reliability of a MR investigation depends on the validity of the genetic variants as instrumental variables (IVs). We develop the contamination mixture method, a method for MR with two modalities. First, it identifies groups of genetic variants with similar causal estimates, which may represent distinct mechanisms by which the risk factor influences the outcome. Second, it performs MR robustly and efficiently in the presence of invalid IVs. Compared to other robust methods, it has the lowest mean squared error across a range of realistic scenarios. The method identifies 11 variants associated with increased high-density lipoprotein-cholesterol, decreased triglyceride levels, and decreased coronary heart disease risk that have the same directions of associations with various blood cell traits, suggesting a shared mechanism linking lipids and coronary heart disease risk mediated via platelet aggregation.
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                Author and article information

                Journal
                0235266
                Stroke
                Stroke
                Stroke
                0039-2499
                1524-4628
                20 March 2024
                01 June 2024
                04 April 2024
                01 June 2024
                : 55
                : 6
                : 1676-1679
                Affiliations
                [1 ]Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia PA
                [2 ]Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
                [3 ]MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
                Author notes
                [* ]Corresponding author Address for correspondence: Marie-Joe Dib, PhD, Perelman Center for Advanced Medicine. 3400 Civic Center Blvd. Philadelphia, PA. 19104. marie-joe.dib@ 123456pennmedicine.upenn.edu , Twitter: @mariejoedib, Dr Gill’s Twitter: @dpsg108
                Article
                EMS194880
                10.1161/STROKEAHA.123.045297
                7615976
                38572634
                ca6f14a9-25b9-45cf-81ef-4336f1fbb518

                This work is licensed under a BY 4.0 International license.

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                Categories
                Article

                stroke,perivascular spaces,white matter hyperintensity volume,small vessel disease,mendelian randomization,drug target

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