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This page provides the full RSS-NET analysis results of 38 gene regulatory networks and 18 human complex traits described in Zhu et al (2021).
For each phenotype below, please click to view network enrichment results, click to view gene prioritization results, and click to view gene cross-reference results. Please note that loading gene prioritization results may take a while because of the large number of genes displayed.
The network enrichment results () of each phenotype consist of RSS-NET enrichment Bayes factors of 38 inferred gene regulatory networks and 1 near-gene control network for the given trait, and enrichment \(P\)-values of LDSC and Pascal based on the same networks and GWAS data.
The gene prioritization results () of each phenotype consist of RSS-NET posterior probabilities of association (\(P_1\)) for all network genes under the baseline (\(M_0\)) and enrichment (\(M_1\)) models for the given trait.
The gene cross-reference results () of each phenotype consist of external information from Therapeutic Target Database (TTD), Mouse Genome Informatics (MGI) and Online Mendelian Inheritance in Man (OMIM).
Phenotype (GWAS publication)
Adult height (Wood et al. 2014)
Body mass index (Locke et al. 2015)
Waist-to-hip ratio (Shungin et al. 2015)
Breast cancer (Michailidou et al. 2013)
Rheumatoid arthritis (Okada et al. 2014)
Crohn’s disease (Liu et al. 2015)
Inflammatory bowel disease (Liu et al. 2015)
Ulcerative colitis (Liu et al. 2015)
High-density lipoprotein (Teslovich et al. 2010)
Low-density lipoprotein (Teslovich et al. 2010)
Type 2 diabetes (Morris et al. 2012)
Heart rate (den Hoed et al. 2013)
Coronary artery disease (Nikpay et al. 2015)
Myocardial infarction (Nikpay et al. 2015)
Atrial fibrillation (Christophersen et al. 2017)
Alzheimer’s disease (Lambert et al. 2013)
Schizophrenia (Ripke et al. 2014)
Neuroticism (Okbay et al. 2016)
The following pages provide numerical values to reproduce Supplementary Figures 13 and 14 of Zhu et al (2021).