Results 31 to 40 of about 121,766 (195)
Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank.
ObjectivesUK Biobank is a UK-wide cohort of 502,655 people aged 40-69, recruited from National Health Service registrants between 2006-10, with healthcare data linkage. Type 2 diabetes is a key exposure and outcome.
Sophie V Eastwood +8 more
doaj +1 more source
Biosamples as gifts? How participants in biobanking projects talk about donation. [PDF]
Funded by National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at Oxford University Hospitals NHS Trust University of Oxford Oxford Biomedical Research Centre FellowshipPeer reviewedPublisher ...
Andrews +32 more
core +1 more source
Between 2014 and 2023, 100,000 UK Biobank participants are undergoing brain, heart and abdominal MRI, as well as DXA and carotid ultrasound scans. In this review, authors provide a detailed overview of the rationale for the collection of these imaging ...
Thomas J. Littlejohns +23 more
doaj +1 more source
Overestimated prediction using polygenic prediction derived from summary statistics
Background When polygenic risk score (PRS) is derived from summary statistics, independence between discovery and test sets cannot be monitored. We compared two types of PRS studies derived from raw genetic data (denoted as rPRS) and the summary ...
David Keetae Park +8 more
doaj +1 more source
Dietary fat and total energy intake modifies the association of genetic profile risk score on obesity: evidence from 48 170 UK Biobank participants [PDF]
Background: Obesity is a multifactorial condition influenced by both genetics and lifestyle. The aim of this study was to investigate whether the association between a validated genetic profile risk score for obesity (GPRS-obesity) and body mass index ...
Anderson, Jana +13 more
core +1 more source
Confound modelling in UK Biobank brain imaging
AbstractDealing with confounds is an essential step in large cohort studies to address problems such as unexplained variance and spurious correlations. UK Biobank is a powerful resource for studying associations between imaging and nonimaging measures such as lifestyle factors and health outcomes, in part because of the large subject numbers.
Alfaro-Almagro, Fidel +7 more
openaire +5 more sources
Identification and validation of myocardial infarction and stroke outcomes at scale in UK Biobank
Aims We aimed (i) to create algorithms for identifying stroke and acute myocardial infarction (MI) cases in a large prospective population-based study (UK Biobank), using linked data from national hospital admissions data and death registers, combined ...
Christian Schnier +8 more
doaj +1 more source
Insulin‐like growth factor‐1 and site‐specific cancers: A Mendelian randomization study
Insulin‐like growth factor‐1 (IGF‐1) is involved in several processes relevant to carcinogenesis. We used 416 single‐nucleotide polymorphisms robustly associated with serum IGF‐1 levels to assess the potential causal associations between this hormone and
Susanna C. Larsson +5 more
doaj +1 more source
Anxiety disorders and age-related changes in physiology
Introduction Anxiety disorders are leading contributors to the global disease burden, highly prevalent across the lifespan, and associated with substantially increased morbidity and early mortality.
J. Mutz, T. Hoppen, C. Fabbri, C. Lewis
doaj +1 more source
The UK Biobank provides data for three depression-related phenotypes. Here, Howard et al. perform a genome-association study for broad depression, probable major depressive disorder (MDD) and hospital record-coded MDD in up to 322,580 UK Biobank ...
David M. Howard +21 more
doaj +1 more source

