Network regression analysis in transcriptome-wide association studies
Abstract Background Transcriptome-wide association studies (TWASs) have shown great promise in interpreting the findings from genome-wide association studies (GWASs) and exploring the disease mechanisms, by integrating GWAS and eQTL mapping studies. Almost all TWAS methods only focus on one gene at...
Main Authors: | Xiuyuan Jin, Liye Zhang, Jiadong Ji, Tao Ju, Jinghua Zhao, Zhongshang Yuan |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-08-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12864-022-08809-w |
Similar Items
-
PMINR: Pointwise Mutual Information-Based Network Regression – With Application to Studies of Lung Cancer and Alzheimer’s Disease
by: Weiqiang Lin, et al.
Published: (2020-10-01) -
Correction: Network regression analysis in transcriptome-wide association studies
by: Xiuyuan Jin, et al.
Published: (2022-08-01) -
Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine
by: Travis J. Meyers, et al.
Published: (2023-07-01) -
Identification of candidate genes and chemicals associated with osteoarthritis by transcriptome-wide association study and chemical-gene interaction analysis
by: Lin Mei, et al.
Published: (2023-09-01) -
Identifying susceptibility genes for essential hypertension by transcriptome-wide association study
by: Lu-jie Huang, et al.
Published: (2022-12-01)