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Table 1 Summary of features used in the prioritization of MS-PRGs and validation

From: Prioritization of risk genes in multiple sclerosis by a refined Bayesian framework followed by tissue-specificity and cell type feature assessment

Feature

Description

Bayesian framework (refined version of iRIGS) features

Genetic variants in MS

200 genetic variants from the currently largest MS GWAS with genome-wide significance

Functional Annotation of the Mammalian Genome 5 (FANTOM5)

Annotations of mammalian regulatory components, such as promoters, enhancers lncRNAs and miRNAs (provided by original iRIGS analysis)

Genome-scale chromosome conformation capture (Hi-C)

Brain Hi-C data including both short- and long-range interactions among genomic loci (provided by original iRIGS analysis)

Expression in MS brain tissue

Differentially expressed genes in MS brain tissue from 21 post-mortem brain samples (11 MS cases and 10 control subjects)

DNA methylation in MS brain tissue

Differentially methylated genes from epigenome-wide changes in DNA methylation levels of 28 MS cases and 19 control subjects

Gene–gene relationships

Gene interactions from Gene Ontology (GO) network (provided by original iRIGS analysis)

Two-sample Mendelian randomization (2SMR) feature

Expression quantitative trait loci (eQTL)

Top cis-eQTL of 19 tissues based on tissue expression data from the Genotype-Tissue Expression (GTEx) portal

Genetic features used in validation

Probability of loss of function (LoF) intolerant (pLI) scores

A high pLI score indicates the gene is more likely to be intolerant towards protein-truncating variant(s)

Evolutionary rate

The ratio of nonsynonymous over synonymous substitution rate (dN/dS)

Genes of human diseases

From OMIM and ClinVar databases

Cell type features used in validation

Single-nuclei RNA-sequencing (snRNA-seq)

Cell type-specificity enrichment analysis using a snRNA-seq dataset from the brain tissue of 4 progressive MS patients and 5 non-neurological controls

Drug features used in validation

MS drug targets

32 MS drug targets were collected from the DrugBank database, followed by the enrichment analysis

Connectivity Map (CMap) drug signatures

The co-expressed gene-set enrichment analysis (Cogena) R package was performed for the downregulated and upregulated 100 CMap gene sets