A tool for identifying patients in UK biobank given the definition of disease phenotypes (icd10, icd9, opcs or cancer histology).
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Updated
Oct 12, 2018 - R
A tool for identifying patients in UK biobank given the definition of disease phenotypes (icd10, icd9, opcs or cancer histology).
snpnet - Efficient Lasso Solver for Large-scale genetic variant data
Aid researchers who work on the UKB RAP.
MultiVariate Polygenic Mixture Model
Create binary traits for UKbio using ICD/OPER/medication/self reports/age of diagnosis/visit-dates etc). The current output includes variables on history, study visit, future, time-to-first-event, episode-duration. this is a starting point to construct your favorite trait in ukb. The code was written on the go, so not super clean code..
Substitution of red meat with legumes and risk of primary liver cancer in UK Biobank participants: A prospective cohort study
Script for immunology and cognition analyses in UK Biobank
Substituting meat, poultry, and fish with legumes and risk of gallbladder diseases in the UK Biobank
echoverse module: LD downloading and processing
Perform GWAS on Phenotype Measurements Subject to Limit of Detection for Biobank-Scale Dataset
Explore SNVs associated with any of UK BioBank Phenotypes, results were made publicly available by: http://www.nealelab.is/uk-biobank
This repository contains the code required to perform the data processing and analysis associated with the manuscript submitted to Nature under the name "Maladaptive Genetic Assortment in Humans
Legume consumption and hepatobiliary disease in the UK Biobank.
Reproducible pipeline for unsupervised proteomic clustering in chronic kidney disease using UMAP and Gaussian Mixture Models, with downstream Random Forest and LASSO feature selection, pathway enrichment, and survival analysis to define molecularly distinct CKD endotypes.
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