Integrate GWAS, eQTL, and mQTL Data to Identify Alzheimer’s Disease-Related Genes

• Published in: Frontiers in genetics Vol. 10; p. 1021
• Main Authors: Zhao, Tianyi, Hu, Yang, Zang, Tianyi, Wang, Yadong
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 25.10.2019
• Subjects: Alzheimer’s disease; eQTL; Genetics; GWAS; Mendelian randomization; mQTL; GWAS; Mendelian randomization; eQTL; Alzheimer’s disease; mQTL
• ISSN: 1664-8021; 1664-8021
• DOI: 10.3389/fgene.2019.01021

It is estimated that the impact of related genes on the risk of Alzheimer's disease (AD) is nearly 70%. Identifying candidate causal genes can help treatment and diagnosis. The maturity of sequencing technology and the reduction of cost make genome-wide association study (GWAS) become an import...