About this Research Topic
In the post-genome era, the major challenge is to extract novel disease risks from multi-level omics data using system biology methods, which may expand our knowledge of the causes of human complex disease. This Research Topic will focus on the mechanism of genesis and development of human complex diseases, as well as valuable clues for the development of novel therapeutic approaches of human complex diseases. We believe the systems genetics will help us move from disease risk loci to disease etiology. This Research Topic welcomes reviews and original research papers covering recent genetic research on human complex diseases using system biology methods, including, but are not limited to:
- Statistical methods and database for integrating multi-level omics data
- GWAS
- Expression quantitative trait loci analysis (eQTLs)
- Protein quantitative trait locus (pQTLs)
- Methylation quantitative trait locus (mQTLs)
- Meta-analysis using single genetic variants, GWAS, eQTLs, pQTLs, and mQTLs
- Pathway analysis using gene expression data, GWAS, eQTLs, pQTLs, and mQTLs
- Pathway analysis using GWAS data
- Mendelian randomization analysis using GWAS, eQTLs, pQTLs, and mQTLs
- Integrating GWAS data with pathway analysis
- Integrating GWAS data with eQTLs, pQTLs, and mQTLs
- Identification of shared genetic variants, genes and pathways in different diseases
Keywords: Human complex diseases, genome-wide association studies, Systems genetics, Mendelian randomization analysis, Expression quantitative trait loci analysis
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