Systematic identification of regulatory variants associated with cancer risk

BACKGROUND: Most cancer risk-associated single nucleotide polymorphisms (SNPs) identified by genome-wide association studies (GWAS) are noncoding and it is challenging to assess their functional impacts. To systematically identify the SNPs that affect gene expression by modulating activities of dist...

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Detalles Bibliográficos
Autores principales: Liu, Song, Liu, Yuwen, Zhang, Qin, Wu, Jiayu, Liang, Junbo, Yu, Shan, Wei, Gong-Hong, White, Kevin P., Wang, Xiaoyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651703/
https://www.ncbi.nlm.nih.gov/pubmed/29061142
http://dx.doi.org/10.1186/s13059-017-1322-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651703/
https://www.ncbi.nlm.nih.gov/pubmed/29061142
http://dx.doi.org/10.1186/s13059-017-1322-z

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