Identifying cross-disease components of genetic risk across hospital data in the UK Biobank.
Genetic risk factors frequently affect multiple common human diseases, providing insight into shared pathophysiological pathways and opportunities for therapeutic development. However, systematic identification of genetic profiles of disease risk is limited by the availability of both comprehensive...
Main Authors: | Cortes, A, Albers, PK, Dendrou, CA, Fugger, L, McVean, G |
---|---|
Formato: | Journal article |
Idioma: | English |
Publicado em: |
Nature Research
2019
|
Registos relacionados
-
Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank
Por: Cortes, A, et al.
Publicado em: (2017) -
Neuroinflammation - using big data to inform clinical practice.
Por: Dendrou, C, et al.
Publicado em: (2016) -
Genetic predictors of participation in optional components of UK Biobank
Por: Jessica Tyrrell, et al.
Publicado em: (2021-02-01) -
Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology
Por: Yosuke Tanigawa, et al.
Publicado em: (2019-09-01) -
The UK Biobank resource with deep phenotyping and genomic data
Por: Bycroft, C, et al.
Publicado em: (2018)