MCC-SP: a powerful integration method for identification of causal pathways from genetic variants to complex disease

MCC-SP: a powerful integration method for identification of causal pathways from genetic variants to complex disease

Abstract Background Genome-wide association studies (GWAS) have successfully identified genetic susceptible variants for complex diseases. However, the underlying mechanism of such association remains largely unknown. Most disease-associated genetic variants have been shown to reside in noncoding re...

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Bibliographic Details
Main Authors: Yuchen Zhu, Jiadong Ji, Weiqiang Lin, Mingzhuo Li, Lu Liu, Huanhuan Zhu, Fuzhong Xue, Xiujun Li, Xiang Zhou, Zhongshang Yuan
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Genetics
Subjects:
Maximum correlation coefficient
K shortest paths algorithms
Integration method
Pathway
Alzheimer’s disease
Online Access:http://link.springer.com/article/10.1186/s12863-020-00899-3

Internet

http://link.springer.com/article/10.1186/s12863-020-00899-3

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