Stroke predicted effector genes

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• Stroke

Method

Potential effector genes were prioritized, using multiple evidence sources, at loci genetically associated with stroke risk in the GIGASTROKE study.

GLGC total cholesterol predicted effector genes

View predictions from the Global Lipids Genetics Consortium for:

• Total cholesterol

Method

The PoPS and DEPICT genome-wide methods and four locus-specific methods were used to predict the effector gene(s) at each locus.

GLGC non-HDL cholesterol predicted effector genes

View predictions from the Global Lipids Genetics Consortium for:

• Non-HDL cholesterol

Method

The PoPS and DEPICT genome-wide methods and four locus-specific methods were used to predict the effector gene(s) at each locus.

GLGC LDL cholesterol predicted effector genes

View predictions from the Global Lipids Genetics Consortium for:

• LDL cholesterol

Method

The PoPS and DEPICT genome-wide methods and four locus-specific methods were used to predict the effector gene(s) at each locus.

GLGC HDL cholesterol predicted effector genes

View predictions from the Global Lipids Genetics Consortium for:

• HDL cholesterol

Method

The PoPS and DEPICT genome-wide methods and four locus-specific methods were used to predict the effector gene(s) at each locus.

Metabolite level predicted effector genes

View predictions for:

• Multiple metabolite levels

Method

In this unpublished work from Eric Fauman, putative causal genes at GWAS significant loci for metabolite levels or metabolite ratios were identified based on experimental characterizations in the biomedical literature.

Reference:

Fauman E. Unpublished, 2022.

GLGC log-triglyceride predicted effector genes

View predictions from the Global Lipids Genetics Consortium for:

• Log-triglyceride levels

Method

The PoPS and DEPICT genome-wide methods and four locus-specific methods were used to predict the effector gene(s) at each locus.

Insomnia predicted effector genes

View predictions for:

• Insomnia

Method:

Potential effector genes for insomnia were prioritized based on coding variant evidence, colocalization of eQTLs and GWAS signals, and protein-protein interactions.

Systolic blood pressure (SBP) predicted effector genes

View predictions for:

• Systolic blood pressure

Method:

This prioritization of potential systolic blood pressure (SBP) effectors was based on colocalization of genetic association signals for SBP with cell fraction adjusted kidney eQTLs.

Kidney function predicted effector genes

View predictions for:

• Kidney function

Method:

This prioritization of potential kidney function effectors was based on colocalization of genetic association signals for six kidney function traits with cell fraction adjusted kidney eQTLs.