Quantitative trait loci identification for brain endophenotypes via new additive model with random networks

MOTIVATION: The identification of quantitative trait loci (QTL) is critical to the study of causal relationships between genetic variations and disease abnormalities. We focus on identifying the QTLs associated to the brain endophenotypes in imaging genomics study for Alzheimer’s Disease (AD). Exist...

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Enregistré dans:
Détails bibliographiques
Publié dans:Bioinformatics
Auteurs principaux: Wang, Xiaoqian, Chen, Hong, Yan, Jingwen, Nho, Kwangsik, Risacher, Shannon L, Saykin, Andrew J, Shen, Li, Huang, Heng
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2018
Sujets:
Eccb 2018: European Conference on Computational Biology Proceedings
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6129276/
https://ncbi.nlm.nih.gov/pubmed/30423101
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty557
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