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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

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