Data-Field 20142
This information is regarded as restricted and will be supplied to researchers only when absolutely necessary.
See the Related Data-Fields tab below for any unrestricted alternatives.
Data
501,673 items are available, covering 501,673 participants, encoded using Data-Coding
1.
Notes
Field indicates presence of participant in OMOP-format compound dataset. Access to this field enables loading the OMOP formatted record tables.
Due to some data quality issues identified by research groups who have been using the returned OMOP derivation dataset, the dataset is now restricted. Researchers who still wish to use the dataset can do so by contacting the Access team. Please read the Community Forum article here for more information about the data issues before requesting access.
OMOP data was generated by Regeneron and Odysseus (see Resource 1420 for further details).
OMOP tables without individual participant level data are presented as text resource files.
Tables in the OMOP Common Data Model that did not contain data are not provided.
This includes:
- attribute definition
- cohort attribute
- cohort definition
- cohort
- cost
- fact relationship
- note nlp
- payer plan period
- source to concept map
In addition, the location table has also not been provided as the source field for the data (participant home location) is now subject to restricted access.
0 Related Data-Fields
There are no related data-fields
21 Applications
| Application ID | Title |
|---|
| 3173 | A multi-level approach to better understand the association between physical activity and sedentary behaviour, and cancer risk. |
| 1417 | Associations between parental attained ages and health status |
| 44513 | Comparison of accelerometer-derived physical activity patterns among current cancer patients, cancer survivors, and cancer-free population. |
| 7487 | Elevated plasma levels of Cthrc1 in subjects with red hair: What are the consequences for bone, liver, vascular disease, diabetes and muscle? |
| 14864 | Evaluation of the causal relation between hematocrit, hemoglobin, HbA1c, testosterone and cardiovascular outcomes in the UK Biobank using Mendelian randomization analysis |
| 45514 | Exploring predictors of healthy ageing in UK Biobank |
| 24983 | Generating effective therapeutic hypotheses from genomic and hospital linkage data |
| 23509 | Genome-wide and brain-wide association studies |
| 42772 | Germline prognostic markers and gene-environment interaction with smoking for urinary bladder cancer |
| 41245 | Importance of healthy lifestyle on chronic neurological conditions |
| 24494 | Mediating mechanisms linking anthropometric, lifestyle and dietary risk factors with cancer risk |
| 20168 | Pharmacogenomic study using the UK Biobank data |
| 3282 | Prostate Cancer Epidemiology Consortium: Risk factors for prostate cancer |
| 761 | Risk of type 2 Diabetes and development of disease |
| 2495 | Sex differences in the association between major and modifiable risk factors with cardiovascular disease |
| 33307 | Sex-specific Genetic Determinants of Cardiometabolic Traits |
| 3966 | Study to indenify risk factors for RA, osteoporosis and cardiovascular disease |
| 45676 | The joint effects of genetic, lifestyle and environmental risk factors on common diseases and multimorbidity. |
| 43252 | The prediction of asthma status using clinical and genetic variables |
| 5167 | The role of serum-based small molecule antioxidants in preventing and predicting age-related phenotypes and respiratory cancer |
| 10214 | Vitamin D, genetics, and the risk of schizophrenia |
