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Catherine Sudlow

Researcher at University of Edinburgh

Publications -  72
Citations -  3661

Catherine Sudlow is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Stroke & Population. The author has an hindex of 22, co-authored 69 publications receiving 2379 citations. Previous affiliations of Catherine Sudlow include Western General Hospital.

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Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population.

TL;DR: UK Biobank is not representative of the sampling population; there is evidence of a “healthy volunteer” selection bias; valid assessment of exposure-disease relationships may be widely generalizable and does not require participants to be Representative of the population at large.
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Common variants at 6p21.1 are associated with large artery atherosclerotic stroke.

Elizabeth G. Holliday, +70 more
- 01 Oct 2012 - 
TL;DR: This study identifies a genetic risk locus for LAA and shows how analyzing etiological subtypes may better identify genetic risk alleles for ischemic stroke.
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Comparing risks of death and recurrent vascular events between lacunar and non-lacunar infarction

TL;DR: Although early mortality and stroke recurrence risks are higher among non-lacunar than lacunar infarct patients, the risks appear not to differ in the longer term and the risks of cardiac outcomes are similar, although data are limited.
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Ischemic stroke is associated with the ABO locus: The EuroCLOT study

Frances M K Williams, +67 more
- 01 Jan 2013 - 
TL;DR: In this article, the authors explored whether genetic variants associated with end-stage coagulati are associated with the pathogenesis of ischemic stroke and found that they were associated with fibrin structure and function.
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UK Biobank: opportunities for cardiovascular research.

TL;DR: It is demonstrated conclusively that a continuous increase in blood pressure corresponds with an increased risk of vascular death across all age groups, and the importance of a large sample size (about 500 000 participants) for detecting this association is illustrated.