Ascending aorta function predicted effector genes

Submitted by mariacos on Sun, 10/23/2022 - 14:07

Ascending aorta function predicted effector genes

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Method:

Genes were prioritized at loci genetically associated with three aortic properties, based on three evidence types: results from DEPICT (Data-driven Expression Prioritized Integration for Complex Traits); presence of a coding variant in high LD with the lead SNP; and proximity of a gene to the lea

COVID-19 susceptibility and severity predicted effector genes

Submitted by mariacos on Sun, 10/23/2022 - 11:29

COVID-19 susceptibility and severity predicted effector genes

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Method:

This study applied the COGS (Capture Hi-C Omnibus Gene Score) pipeline to promoter capture Hi-C data (PCHi-C) data, along with genetic associations from four different analyses performed by the COVID-19 Host Genetics

Systemic lupus erythematosus (SLE) predicted effector genes

Submitted by mariacos on Sun, 10/23/2022 - 11:24

Systemic lupus erythematosus (SLE) predicted effector genes

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Method:

This study generated effector gene predictions for SLE using genome-wide association results and promoter-focused Capture-C analysis in follicular helper T-cells from human tonsil to link genetically associated variants to the genes they may regulate.

Estimated glomerular filtration rate (eGFR) predicted effector genes

Submitted by mariacos on Sun, 10/23/2022 - 11:11

Estimated glomerular filtration rate (eGFRcrea) predicted effector genes

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Method

This study integrated results from 8 methods to prioritize putative kidney function effector genes at loci genetically associated with eGFRcrea.

Cardiometabolic trait predicted effector genes

Submitted by mariacos on Sun, 10/23/2022 - 08:48

Cardiometabolic trait predicted effector genes

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Method

Candidate causal genes for cardiometabolic traits were predicted by integration of genetic association results, expression and splicing quantitative trait loci (eQTLs and sQTLs), transcriptional regulation by physiological and pharmacological cardiometabolic regulators, and protein-protein interaction

Type 1 diabetes predicted effector genes (Onengut-Gumuscu S and Rich SS, 2022)

Submitted by mariacos on Sun, 10/23/2022 - 08:40

Type 1 diabetes predicted effector genes

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Method

These predictions synthesize genetic, perturbational, and regulatory evidence to categorize potential T1D effector genes by the strength of their supporting evidence.

Reference:

Onengut-Gumuscu S and Rich SS. Unpublished, 2022.