Multivariate genome wide association and network analysis of subcortical imaging phenotypes in Alzheimer’s disease

Multivariate genome wide association and network analysis of subcortical imaging phenotypes in Alzheimer’s disease

Abstract Background Genome-wide association studies (GWAS) have identified many individual genes associated with brain imaging quantitative traits (QTs) in Alzheimer’s disease (AD). However single marker level association discovery may not be able to address the underlying biological interactions wi...

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Bibliographic Details
Main Authors: Xianglian Meng, Jin Li, Qiushi Zhang, Feng Chen, Chenyuan Bian, Xiaohui Yao, Jingwen Yan, Zhe Xu, Shannon L. Risacher, Andrew J. Saykin, Hong Liang, Li Shen, for the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Genomics
Subjects:
Brain imaging
Multivariate gene-based genome-wide analysis
iPINBPA network analysis
Consensus modules
Online Access:https://doi.org/10.1186/s12864-020-07282-7

Internet

https://doi.org/10.1186/s12864-020-07282-7

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