Publications by authors named "S K Browning"

Principal component analysis (PCA) is widely used to control for population structure in genome-wide association studies (GWAS). Top principal components (PCs) typically reflect population structure, but challenges arise in deciding how many PCs are needed and ensuring that PCs do not capture other artifacts such as regions with atypical linkage disequilibrium (LD). In response to the latter, many groups suggest performing LD pruning or excluding known high LD regions prior to PCA.

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Background: Adverse non-motor outcomes have a major impact on patients and caregivers after stroke, but knowledge of their prevalence, predictors and patterns across multiple health domains remains limited; we therefore aimed to obtain these data in a large observational prospective cohort study.

Methods: We included data from the Stroke Investigation Group in North and Central London (SIGNAL) registry based at the University College London Hospitals (UCLH) Comprehensive Stroke Service which serves a multi-ethnic population of ∼1.6 million people.

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Environmental smoke has been shown to have significant associations with both causation and exacerbation of respiratory conditions. Aboriginal Australians in the Northern Territory (NT) of Australia are disproportionately affected by respiratory illness in comparison with non-Aboriginal Australians. Traditionally, Aboriginal communities have utilized fire for multiple purposes, such as land management practices, cultural ceremonies, hunting, and cooking.

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Article Synopsis
  • Cerebral small vessel disease (SVD) can lead to various cerebrovascular issues, but research on sex differences in SVD is limited.
  • This study analyzed data from over 20,000 patients with acute ischemic stroke to examine whether the presence and severity of cerebral microbleeds (CMB) and other SVD markers differ between males and females.
  • Results showed that males had more frequent CMB while females had fewer lacunes but higher severe white matter hyperintensities, indicating distinct SVD characteristics based on sex.
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