Rainer Malik

The paper identifies a hypervascular, BBB-compromised state in aging mice linked to cognitive decline and shows pharmacological stabilization improves vascular and cognitive outcomes.

ERICH-GENE collects and analyzes genomic and neuroimaging data from over 10,000 multi-ethnic ICH cases to identify genetic risk factors and trans-ethnic variation in ICH.

This study identifies genetic variants associated with circulating cytokine levels and suggests potential drug targets for immune-related diseases.

The paper performs deep resequencing of the 1q22 locus in non-lobar ICH cases and controls to identify causal variants and mechanisms.

The paper uses proteogenomic integration to identify CXCL10 as a mediator of IL-6 signaling effects on atherosclerosis, showing its association with cardiovascular disease risk and lesion characteristics.

This paper develops a genomic risk score for intracerebral hemorrhage using genome-wide association data and validates its predictive power in multiple cohorts.

The paper examines rare variants in monogenic cerebral small vessel disease genes in UK Biobank participants, finding limited phenotype associations and suggesting issues with previous gene-phenotype links.

This study uses Mendelian Randomization to show that a higher genetic response to statins is linked to increased intracerebral hemorrhage risk among statin users.

This GWAS identifies 123 migraine risk loci, including subtype-specific variants and novel targets, supporting neurovascular mechanisms in migraine.

The paper identifies rare variants in HTRA1 and its substrate EGFL8 associated with increased white matter hyperintensities using whole-exome sequencing data from 16,511 UK Biobank individuals.

This study uses Mendelian randomization to assess the causal effects of education, smoking, and BMI on stroke risk, finding independent associations with different stroke subtypes.

This study uses Mendelian randomization to show that genetic predisposition to T2D and hyperglycemia increases risk of ischemic and small vessel stroke, with distinct effects of insulin resistance and beta-cell dysfunction.

The paper identifies deleterious on-target effects in CRISPR-edited human stem cells and introduces qgPCR and sequencing tools to detect them reliably.

The paper compares two phenotyping approaches for ischemic stroke subtypes and identifies a genetic risk locus for small vessel stroke using the intersect phenotype.

The paper develops a genomic risk score (metaGRS) for ischaemic stroke that outperforms existing risk factors in predicting stroke risk.

The paper identifies subtype-specific genetic loci associated with stroke subtypes and finds heterogeneity in their effects across different stroke types.

This study identifies genetic loci specific to periventricular and deep white matter hyperintensities, revealing distinct genetic architectures and potential biological mechanisms.

The paper uses genetic variants to investigate side effects and repurposing potential of antihypertensive drugs, finding a link between calcium channel blockers and increased diverticulosis risk.

The paper assesses if genetic risk for atrial fibrillation explains cardioembolic stroke risk using genome-wide data from the Stroke Genetics Network.

Genetic correlations across 25 brain disorders (215,683 cases) reveal broad psychiatric common-variant sharing, largely distinct neurological disorders, and migraine as the only significant cross-category link.

This study shows common genetic variants significantly contribute to migraine family clustering, with higher burden in familial cases compared to population-based cases.

The paper investigates genetic correlations between psychiatric and immune-related phenotypes using GWAS summary data, finding significant shared genetic variants.