Cargando…
A Multi-omic Integrative Scheme Characterizes Tissues of Action at Loci Associated with Type 2 Diabetes
Resolving the molecular processes that mediate genetic risk remains a challenge because most disease-associated variants are non-coding and functional characterization of these signals requires knowledge of the specific tissues and cell-types in which they operate. To address this challenge, we deve...
Autores principales: | Torres, Jason M., Abdalla, Moustafa, Payne, Anthony, Fernandez-Tajes, Juan, Thurner, Matthias, Nylander, Vibe, Gloyn, Anna L., Mahajan, Anubha, McCarthy, Mark I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820628/ https://www.ncbi.nlm.nih.gov/pubmed/33186544 http://dx.doi.org/10.1016/j.ajhg.2020.10.009 |
Ejemplares similares
-
Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals
por: Wesolowska-Andersen, Agata, et al.
Publicado: (2020) -
Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci
por: Thurner, Matthias, et al.
Publicado: (2018) -
Developing a network view of type 2 diabetes risk pathways through integration of genetic, genomic and functional data
por: Fernández-Tajes, Juan, et al.
Publicado: (2019) -
Inferring causal genes at type 2 diabetes GWAS loci through chromosome interactions in islet cells
por: Torres, Jason M., et al.
Publicado: (2023) -
Large-Scale Analyses Provide No Evidence for Gene-Gene Interactions Influencing Type 2 Diabetes Risk
por: Nag, Abhishek, et al.
Publicado: (2020)