Genome-wide association study of medication-use and associated disease in the UK Biobank
An understanding of the genetic variants associated with medication use may shed light on the underlying biological pathways of disease, and aid in drug development. Here, Wu and colleagues conduct a GWAS for self-reported medication-use in the UK Biobank, finding more than 500 independent variants...
Guardado en:
Autores principales: | Yeda Wu, Enda M. Byrne, Zhili Zheng, Kathryn E. Kemper, Loic Yengo, Andrew J. Mallett, Jian Yang, Peter M. Visscher, Naomi R. Wray |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7a2b184ba1cd45c1aa138f729b16fae8 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Extreme inbreeding in a European ancestry sample from the contemporary UK population
por: Loic Yengo, et al.
Publicado: (2019) -
Reproducibility in the UK biobank of genome-wide significant signals discovered in earlier genome-wide association studies
por: Jack W. O’Sullivan, et al.
Publicado: (2021) -
Genome-wide association study suggests that variation at the RCOR1 locus is associated with tinnitus in UK Biobank
por: Helena R. R. Wells, et al.
Publicado: (2021) -
Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways
por: David M. Howard, et al.
Publicado: (2018) -
Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
por: Angli Xue, et al.
Publicado: (2018)