Single-Cell Chromatin Accessibility Data Combined with GWAS Improves Detection of Relevant Cell Types in 59 Complex Phenotypes

Several disease risk variants reside on non-coding regions of DNA, particularly in open chromatin regions of specific cell types. Identifying the cell types relevant to complex traits through the integration of chromatin accessibility data and genome-wide association studies (GWAS) data can help to...

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Detalles Bibliográficos
Autores principales: Das, Akash Chandra, Foroutan, Aidin, Qian, Brian, Hosseini Naghavi, Nader, Shabani, Kayvan, Shooshtari, Parisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570273/
https://www.ncbi.nlm.nih.gov/pubmed/36232752
http://dx.doi.org/10.3390/ijms231911456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570273/
https://www.ncbi.nlm.nih.gov/pubmed/36232752
http://dx.doi.org/10.3390/ijms231911456

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