Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes

AIM: To identify novel candidate genes and gene sets for diabetes. METHODS: We performed an integrative analysis of genome-wide association studies (GWAS) and expression quantitative trait loci (eQTLs) data for diabetes. Summary data was driven from a large-scale GWAS of diabetes, totally involving...

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Detalles Bibliográficos
Autores principales: Liang, Xiao, He, Awen, Wang, Wenyu, Liu, Li, Du, Yanan, Fan, Qianrui, Li, Ping, Wen, Yan, Hao, Jingcan, Guo, Xiong, Zhang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506468/
https://www.ncbi.nlm.nih.gov/pubmed/28744461
http://dx.doi.org/10.1155/2017/1758636

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506468/
https://www.ncbi.nlm.nih.gov/pubmed/28744461
http://dx.doi.org/10.1155/2017/1758636

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