Abstract
Abstract
Background
Rare diseases collectively affect up to 10% of the population, but often lack effective treatment, and typically little is known about their pathophysiology. Major challenges include suboptimal phenotype mapping and limited statistical power. Population biobanks, such as the UK Biobank, recruit many individuals who can be affected by rare diseases; however, investigation into their utility for rare disease research remains limited. We hypothesized the UK Biobank can be used as a unique population assay for rare diseases in the general population.
Methods
We constructed a consensus mapping between ICD-10 codes and ORPHA codes for rare diseases, then identified individuals with each rare condition in the UK Biobank, and investigated their age at recruitment, sex bias, and comorbidity distributions. Using exome sequencing data from 167,246 individuals of European ancestry, we performed genetic association controlling for case/control imbalance (SAIGE) to identify potential rare pathogenic variants for each disease.
Results
Using our mapping approach, we identified and characterized 420 rare diseases affecting 23,575 individuals in the UK Biobank. Significant genetic associations included JAK2 V617F for immune thrombocytopenic purpura (p = 1.24 × 10−13) and a novel CALR loss of function variant for essential thrombocythemia (p = 1.59 × 10−13). We constructed an interactive resource highlighting demographic information (http://www-personal.umich.edu/~mattpat/rareDiseases.html) and demonstrate transferability by applying our mapping to a medical claims database.
Conclusions
Enhanced disease mapping and increased power from population biobanks can elucidate the demographics and genetic associations for rare diseases.
Funder
Rare Disease Foundation
Foundation for the National Institutes of Health
A. Alfred Taubman Medical Research Institute
Dawn and Dudley Holmes Foundation
Babcock Memorial Trust
Precision Health Scholars Award
Dermatology Foundation
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Genetics,Molecular Biology,Molecular Medicine
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献