Richards

Submitted by dkjang on

Effector Index predicted effector genes

 

Cardiovascular and lipid phenotypes

 

Glycemic phenotypes

 

Musculoskeletal phenotypes

 

Other phenotypes

 

Reference:

An effector index to predict target genes at GWAS loci.
Forgetta V, Jiang L, Vulpescu NA, et al.
Hum Genet. 2022 Feb 11. doi: 10.1007/s00439-022-02434-z.
PMID: 35147782

 

Method:

The Effector Index (Ei) algorithm produces scores for all genes at a genetically associated locus that represent the probability that they are causal for a trait. It was developed based on a gold-standard set of genes for each trait, compiled from known human drug targets and from genes whose mutation influences the disease or trait in Mendelian fashion. The algorithm takes into account fine-mapped variants at a locus, their impact on proteins or transcripts, whether they influence gene expression, and whether they are present in regions of open chromatin in tissues relevant to the trait. Find more details about the method on the "Research Method" tab of the interface or in the publication (see above).

Portals
md, t2d, a2f, cvd, msk
Weight
40
Phenotype groups
Effector index predicted effector genes (multiple phenotypes; Forgetta V, Jiang L, Vulpescu NA, et al., 2022)