Genetic predictors of participation in optional components of UK Biobank
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Genetic predictors of participation in optional components of UK Biobank
Authors
Keywords
-
Journal
Nature Communications
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-02-10
DOI
10.1038/s41467-021-21073-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis
- (2020) G David Batty et al. BMJ-British Medical Journal
- Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms
- (2019) Samuel E. Jones et al. Nature Communications
- UK Biobank, big data, and the consequences of non-representativeness
- (2019) Katherine M Keyes et al. LANCET
- Accounting for missing data in statistical analyses: multiple imputation is not always the answer
- (2019) Rachael A Hughes et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Bounding bias due to selection
- (2019) Louisa H. Smith et al. EPIDEMIOLOGY
- Adjustment for index event bias in genome-wide association studies of subsequent events
- (2019) Frank Dudbridge et al. Nature Communications
- Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children
- (2018) Amy E Taylor et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence
- (2018) W. D. Hill et al. MOLECULAR PSYCHIATRY
- Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence
- (2018) Jeanne E. Savage et al. NATURE GENETICS
- Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
- (2018) James J. Lee et al. NATURE GENETICS
- The UK Biobank resource with deep phenotyping and genomic data
- (2018) Clare Bycroft et al. NATURE
- An atlas of genetic influences on osteoporosis in humans and mice
- (2018) John A. Morris et al. NATURE GENETICS
- Collider scope: when selection bias can substantially influence observed associations
- (2017) Marcus R Munafò et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Mortality selection in a genetic sample and implications for association studies
- (2017) Benjamin W Domingue et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study
- (2017) Aiden Doherty et al. PLoS One
- Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations
- (2017) Bram P. Prins et al. Scientific Reports
- Selection biases in observational studies affect associations between ‘moderate’ alcohol consumption and mortality
- (2016) Timothy S. Naimi et al. ADDICTION
- Association of Genetic Risk for Schizophrenia With Nonparticipation Over Time in a Population-Based Cohort Study
- (2016) Joanna Martin et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis
- (2016) Jie Zheng et al. BIOINFORMATICS
- The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease
- (2016) William J. Astle et al. CELL
- Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
- (2016) Jack Bowden et al. GENETIC EPIDEMIOLOGY
- Genome-wide association study identifies 74 loci associated with educational attainment
- (2016) Aysu Okbay et al. NATURE
- Genetic Predisposition to an Impaired Metabolism of the Branched-Chain Amino Acids and Risk of Type 2 Diabetes: A Mendelian Randomisation Analysis
- (2016) Luca A. Lotta et al. PLOS MEDICINE
- Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
- (2015) J. Bowden et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- An atlas of genetic correlations across human diseases and traits
- (2015) Brendan Bulik-Sullivan et al. NATURE GENETICS
- Efficient Bayesian mixed-model analysis increases association power in large cohorts
- (2015) Po-Ru Loh et al. NATURE GENETICS
- UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
- (2015) Cathie Sudlow et al. PLOS MEDICINE
- Cohort Profile: UK Millennium Cohort Study (MCS)
- (2014) R. Connelly et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
- (2013) Ashley H Beecham et al. NATURE GENETICS
- What makes UK Biobank special?
- (2012) Rory Collins LANCET
- Sociodemographic and psychiatric determinants of attrition in the Netherlands Study of Depression and Anxiety (NESDA)
- (2011) Femke Lamers et al. COMPREHENSIVE PSYCHIATRY
- White blood cell count and psychomotor cognitive performance in the elderly
- (2011) Tung-Wei Kao et al. EUROPEAN JOURNAL OF CLINICAL INVESTIGATION
- Review of inverse probability weighting for dealing with missing data
- (2011) Shaun R Seaman et al. STATISTICAL METHODS IN MEDICAL RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More