five

INTEGRATING GENOMIC AND TRANSCRIPTOMIC DATA TO IDENTIFY BREAST CANCER SUSCEPTIBILITY GENES

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP494243
下载链接
链接失效反馈
官方服务:
资源简介:
Genetic factors play an important role in the etiology of both sporadic and familial breast cancer. Since 2007, common genetic variants in ~200 loci have been identified in genome-wide association studies (GWAS) in relation to breast cancer risk. However, it is often difficult to translate GWAS findings to disease prevention and treatment since causal genes in the large majority of GWAS-identified loci are unknown. Furthermore, a large fraction of breast cancer heritability remains unexplained. Recent studies suggest that nearly 80% of disease heritability can be explained by genetic variants regulating gene expression. Herein, we propose three well-powered transcriptome-wide association studies (TWAS) to systematically investigate the association of breast cancer risk with gene... (for more see dbGaP study page.)
创建时间:
2024-03-22
二维码
社区交流群
二维码
科研交流群
商业服务