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Open AccessJournal ArticleDOI

UK Biobank: opportunities for cardiovascular research.

TLDR
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.
Abstract
Cardiovascular diseases are a major cause of morbidity and mortality, accounting for 45% of all deaths in European countries in 20161 and almost a third of deaths worldwide in 2013.2 A similar pattern is observed in the UK where cardiovascular diseases were responsible for 27% of deaths in 2014, with coronary heart disease resulting in the largest number of deaths attributable to a single cause (n = ∼69 000) whilst stroke is the third biggest cause (n = ∼39 000).3 Although age-standardized cardiovascular disease mortality rates are decreasing worldwide, the total deaths and burden as measured through disability-adjusted life years of cardiovascular diseases are increasing.4,5 Furthermore, in the UK, cardiovascular risk factors such as high blood pressure and high cholesterol are among the leading causes of disease burden.6 Epidemiological studies have historically played an essential role in identifying the causes and consequences of cardiovascular disease and have resulted in improvements in prevention and treatment. The seminal US-based Framingham Heart Study which recruited 5200 participants between 1948 and 1952, was integral in identifying a range of important risk factors for cardiovascular disease, such as high blood pressure, a high cholesterol level, cigarette smoking, obesity and physical inactivity, and consequently shifted the focus from management to preventative strategies for cardiovascular disease.7 This, together with findings from other epidemiological studies, such as the Seven Countries Study and the MONICA project,8 have been influential in leading to treatments for the primary and secondary prevention of cardiovascular events, most notably statins (that act to lower cholesterol levels), and anithypertensives.9,10 Epidemiological studies such as the Framingham Heart Study with moderate sample sizes are useful in detecting risk factors with large effects on common outcomes; however, they lack statistical power to reliably identify risk factors which have small to moderate effects or to assess associations with disease across subgroups of the population. The need for large sample sizes has led to collaborative efforts, such as the Prospective Studies Collaboration (an individual participant meta-analysis of data from 61 studies and more than a million participants11) that has demonstrated conclusively that a continuous increase in blood pressure corresponds with an increased risk of vascular death across all age groups (see Figure ​Figure11 that illustrates the importance of a large sample size (about 500 000 participants) for detecting this association).12 Sample size is also of particular importance in the current era of genome-wide association studies, where many investigations are aiming to detect either small effects from common variants or large effects from rare variants.13 Open in a separate window Figure 1 Absolute risk of ischaemic heart disease mortality by usual systolic blood pressure and age at risk in 5000, 50 000, and 500 000 participants. Unpublished figure containing data from the Prospective Studies Collaboration, obtained through personal communication. CI, confidence interval; IHD, ischaemic heart disease.

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Posted ContentDOI

Genome-wide genetic data on ~500,000 UK Biobank participants

TL;DR: The UK Biobank project is a large prospective cohort study of ~500,000 individuals from across the United Kingdom, aged between 40-69 at recruitment, and a set of analyses that reveal properties of the genetic data – such as population structure and relatedness – that can be important for downstream analyses are conducted.
Journal ArticleDOI

Brief introduction of medical database and data mining technology in big data era

TL;DR: This work has introduced several databases and data mining techniques to help a wide range of clinical researchers better understand and apply database technology.
References
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Journal ArticleDOI

Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies.

TL;DR: Throughout middle and old age, usual blood pressure is strongly and directly related to vascular (and overall) mortality, without any evidence of a threshold down to at least 115/75 mm Hg.
Journal ArticleDOI

Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013

Mohsen Naghavi, +731 more
- 10 Jan 2015 - 
TL;DR: In the Global Burden of Disease Study 2013 (GBD 2013) as discussed by the authors, the authors used the GBD 2010 methods with some refinements to improve accuracy applied to an updated database of vital registration, survey, and census data.
Journal ArticleDOI

Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies

TL;DR: All the classes of blood pressure lowering drugs have a similar effect in reducing CHD events and stroke for a given reduction in blood pressure, indicating that the benefit is explained by blood pressure reduction itself.
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