A unifying statistical framework to discover disease genes from GWASs

Genome-wide association studies (GWASs) identify genomic loci associated with complex traits, but it remains a challenge to identify the genes affected by causal genetic variants in these loci. Attempts to solve this challenge are frustrated by a number of compounding problems. Here, we show how to...

Descripción completa

Detalles Bibliográficos
Autores principales: McManus, Justin N.J., Lovelett, Robert J., Lowengrub, Daniel, Christensen, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025450/
https://www.ncbi.nlm.nih.gov/pubmed/36950381
http://dx.doi.org/10.1016/j.xgen.2023.100264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025450/
https://www.ncbi.nlm.nih.gov/pubmed/36950381
http://dx.doi.org/10.1016/j.xgen.2023.100264

Ejemplares similares