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metabrain eqtl data  (Metabrain Research)
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a , b Colocalization of GWAS of clinical diagnosis ( a ) and Aβ levels ( b ) <t>with</t> <t>ROSMAP,</t> MetaBrain, and GTEx eQTLs. Colocalizations with a posterior probability above 0.5 are shown. c Heatmap of gene prioritization of loci reaching suggestive significance from single-variant association analysis. The heatmap includes genes nearest to lead-SNPs (red), <t>eQTL</t> colocalization (green), eQTL signals associated with lead-SNPs (yellow), peak-to-gene connections identified through scATAC (blue), and evidence from prior publications (purple). d Heatmap of DEGs derived from a previous study (Mathys et al.) according to the final cognitive consensus diagnosis across brain cell subtypes. Significance levels are indicated as * p < 0.05, ** p < 0.01, and *** p < 0.001. e Regional p lots of the clinical diagnosis GWAS and GTEx cortex eQTLs for APCDD1 within a 500 kb window of the lead variant (rs28372356). f APCDD1 and VAPA expression across different cell types in response to pseudo-progression of SEA-AD. Each line represents the locally weighted mean expression (LOWESS) of the supertypes with each subclass. Source data are provided as a Source Data file. Aβ, amyloid beta; ROSMAP, Religious Orders Study/Memory and Aging Project; GTEx, genotype-tissue expression; AFR, African; OPC, oligodendrocyte precursor cell; eQTL, expression quantitative trait loci; DEG, differential expressed gene; Astro, astrocyte; Exc, excitatory neuron; Inh, inhibitory neuron; CAMs, cell adhesion molecules; Micro, microglia; Oligo, oligodendrocyte; End, endothelial cells; Fib, fibroblasts; Per, pericytes; SMC, smooth muscle cell; VLMC, vascular and leptomeningeal cells; Micro-PVM, microglia and perivascular macrophages; GWAS, genome-wide association analysis; scATAC, single-cell chromatin accessibility; SEA-AD, Seattle Alzheimer’s Disease Brain Cell Atlas.
Metabrain Eqtl Data, supplied by Metabrain Research, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cis-eqtl data from metabrain cortex tissue  (Metabrain Research)
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Metabrain Research cis-eqtl data from metabrain cortex tissue
a , b Colocalization of GWAS of clinical diagnosis ( a ) and Aβ levels ( b ) <t>with</t> <t>ROSMAP,</t> MetaBrain, and GTEx eQTLs. Colocalizations with a posterior probability above 0.5 are shown. c Heatmap of gene prioritization of loci reaching suggestive significance from single-variant association analysis. The heatmap includes genes nearest to lead-SNPs (red), <t>eQTL</t> colocalization (green), eQTL signals associated with lead-SNPs (yellow), peak-to-gene connections identified through scATAC (blue), and evidence from prior publications (purple). d Heatmap of DEGs derived from a previous study (Mathys et al.) according to the final cognitive consensus diagnosis across brain cell subtypes. Significance levels are indicated as * p < 0.05, ** p < 0.01, and *** p < 0.001. e Regional p lots of the clinical diagnosis GWAS and GTEx cortex eQTLs for APCDD1 within a 500 kb window of the lead variant (rs28372356). f APCDD1 and VAPA expression across different cell types in response to pseudo-progression of SEA-AD. Each line represents the locally weighted mean expression (LOWESS) of the supertypes with each subclass. Source data are provided as a Source Data file. Aβ, amyloid beta; ROSMAP, Religious Orders Study/Memory and Aging Project; GTEx, genotype-tissue expression; AFR, African; OPC, oligodendrocyte precursor cell; eQTL, expression quantitative trait loci; DEG, differential expressed gene; Astro, astrocyte; Exc, excitatory neuron; Inh, inhibitory neuron; CAMs, cell adhesion molecules; Micro, microglia; Oligo, oligodendrocyte; End, endothelial cells; Fib, fibroblasts; Per, pericytes; SMC, smooth muscle cell; VLMC, vascular and leptomeningeal cells; Micro-PVM, microglia and perivascular macrophages; GWAS, genome-wide association analysis; scATAC, single-cell chromatin accessibility; SEA-AD, Seattle Alzheimer’s Disease Brain Cell Atlas.
Cis Eqtl Data From Metabrain Cortex Tissue, supplied by Metabrain Research, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ci-eqtl data metabrain cortex  (Metabrain Research)
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Metabrain Research ci-eqtl data metabrain cortex
a , b Colocalization of GWAS of clinical diagnosis ( a ) and Aβ levels ( b ) <t>with</t> <t>ROSMAP,</t> MetaBrain, and GTEx eQTLs. Colocalizations with a posterior probability above 0.5 are shown. c Heatmap of gene prioritization of loci reaching suggestive significance from single-variant association analysis. The heatmap includes genes nearest to lead-SNPs (red), <t>eQTL</t> colocalization (green), eQTL signals associated with lead-SNPs (yellow), peak-to-gene connections identified through scATAC (blue), and evidence from prior publications (purple). d Heatmap of DEGs derived from a previous study (Mathys et al.) according to the final cognitive consensus diagnosis across brain cell subtypes. Significance levels are indicated as * p < 0.05, ** p < 0.01, and *** p < 0.001. e Regional p lots of the clinical diagnosis GWAS and GTEx cortex eQTLs for APCDD1 within a 500 kb window of the lead variant (rs28372356). f APCDD1 and VAPA expression across different cell types in response to pseudo-progression of SEA-AD. Each line represents the locally weighted mean expression (LOWESS) of the supertypes with each subclass. Source data are provided as a Source Data file. Aβ, amyloid beta; ROSMAP, Religious Orders Study/Memory and Aging Project; GTEx, genotype-tissue expression; AFR, African; OPC, oligodendrocyte precursor cell; eQTL, expression quantitative trait loci; DEG, differential expressed gene; Astro, astrocyte; Exc, excitatory neuron; Inh, inhibitory neuron; CAMs, cell adhesion molecules; Micro, microglia; Oligo, oligodendrocyte; End, endothelial cells; Fib, fibroblasts; Per, pericytes; SMC, smooth muscle cell; VLMC, vascular and leptomeningeal cells; Micro-PVM, microglia and perivascular macrophages; GWAS, genome-wide association analysis; scATAC, single-cell chromatin accessibility; SEA-AD, Seattle Alzheimer’s Disease Brain Cell Atlas.
Ci Eqtl Data Metabrain Cortex, supplied by Metabrain Research, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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eqtl metabrain data  (Metabrain Research)
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Metabrain Research eqtl metabrain data
a , b Colocalization of GWAS of clinical diagnosis ( a ) and Aβ levels ( b ) <t>with</t> <t>ROSMAP,</t> MetaBrain, and GTEx eQTLs. Colocalizations with a posterior probability above 0.5 are shown. c Heatmap of gene prioritization of loci reaching suggestive significance from single-variant association analysis. The heatmap includes genes nearest to lead-SNPs (red), <t>eQTL</t> colocalization (green), eQTL signals associated with lead-SNPs (yellow), peak-to-gene connections identified through scATAC (blue), and evidence from prior publications (purple). d Heatmap of DEGs derived from a previous study (Mathys et al.) according to the final cognitive consensus diagnosis across brain cell subtypes. Significance levels are indicated as * p < 0.05, ** p < 0.01, and *** p < 0.001. e Regional p lots of the clinical diagnosis GWAS and GTEx cortex eQTLs for APCDD1 within a 500 kb window of the lead variant (rs28372356). f APCDD1 and VAPA expression across different cell types in response to pseudo-progression of SEA-AD. Each line represents the locally weighted mean expression (LOWESS) of the supertypes with each subclass. Source data are provided as a Source Data file. Aβ, amyloid beta; ROSMAP, Religious Orders Study/Memory and Aging Project; GTEx, genotype-tissue expression; AFR, African; OPC, oligodendrocyte precursor cell; eQTL, expression quantitative trait loci; DEG, differential expressed gene; Astro, astrocyte; Exc, excitatory neuron; Inh, inhibitory neuron; CAMs, cell adhesion molecules; Micro, microglia; Oligo, oligodendrocyte; End, endothelial cells; Fib, fibroblasts; Per, pericytes; SMC, smooth muscle cell; VLMC, vascular and leptomeningeal cells; Micro-PVM, microglia and perivascular macrophages; GWAS, genome-wide association analysis; scATAC, single-cell chromatin accessibility; SEA-AD, Seattle Alzheimer’s Disease Brain Cell Atlas.
Eqtl Metabrain Data, supplied by Metabrain Research, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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eqtl metabrain data - by Bioz Stars, 2026-09
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a , b Colocalization of GWAS of clinical diagnosis ( a ) and Aβ levels ( b ) with ROSMAP, MetaBrain, and GTEx eQTLs. Colocalizations with a posterior probability above 0.5 are shown. c Heatmap of gene prioritization of loci reaching suggestive significance from single-variant association analysis. The heatmap includes genes nearest to lead-SNPs (red), eQTL colocalization (green), eQTL signals associated with lead-SNPs (yellow), peak-to-gene connections identified through scATAC (blue), and evidence from prior publications (purple). d Heatmap of DEGs derived from a previous study (Mathys et al.) according to the final cognitive consensus diagnosis across brain cell subtypes. Significance levels are indicated as * p < 0.05, ** p < 0.01, and *** p < 0.001. e Regional p lots of the clinical diagnosis GWAS and GTEx cortex eQTLs for APCDD1 within a 500 kb window of the lead variant (rs28372356). f APCDD1 and VAPA expression across different cell types in response to pseudo-progression of SEA-AD. Each line represents the locally weighted mean expression (LOWESS) of the supertypes with each subclass. Source data are provided as a Source Data file. Aβ, amyloid beta; ROSMAP, Religious Orders Study/Memory and Aging Project; GTEx, genotype-tissue expression; AFR, African; OPC, oligodendrocyte precursor cell; eQTL, expression quantitative trait loci; DEG, differential expressed gene; Astro, astrocyte; Exc, excitatory neuron; Inh, inhibitory neuron; CAMs, cell adhesion molecules; Micro, microglia; Oligo, oligodendrocyte; End, endothelial cells; Fib, fibroblasts; Per, pericytes; SMC, smooth muscle cell; VLMC, vascular and leptomeningeal cells; Micro-PVM, microglia and perivascular macrophages; GWAS, genome-wide association analysis; scATAC, single-cell chromatin accessibility; SEA-AD, Seattle Alzheimer’s Disease Brain Cell Atlas.

Journal: Nature Communications

Article Title: Whole-genome sequencing analyses suggest novel genetic factors associated with Alzheimer’s disease and a cumulative effects model for risk liability

doi: 10.1038/s41467-025-59949-y

Figure Lengend Snippet: a , b Colocalization of GWAS of clinical diagnosis ( a ) and Aβ levels ( b ) with ROSMAP, MetaBrain, and GTEx eQTLs. Colocalizations with a posterior probability above 0.5 are shown. c Heatmap of gene prioritization of loci reaching suggestive significance from single-variant association analysis. The heatmap includes genes nearest to lead-SNPs (red), eQTL colocalization (green), eQTL signals associated with lead-SNPs (yellow), peak-to-gene connections identified through scATAC (blue), and evidence from prior publications (purple). d Heatmap of DEGs derived from a previous study (Mathys et al.) according to the final cognitive consensus diagnosis across brain cell subtypes. Significance levels are indicated as * p < 0.05, ** p < 0.01, and *** p < 0.001. e Regional p lots of the clinical diagnosis GWAS and GTEx cortex eQTLs for APCDD1 within a 500 kb window of the lead variant (rs28372356). f APCDD1 and VAPA expression across different cell types in response to pseudo-progression of SEA-AD. Each line represents the locally weighted mean expression (LOWESS) of the supertypes with each subclass. Source data are provided as a Source Data file. Aβ, amyloid beta; ROSMAP, Religious Orders Study/Memory and Aging Project; GTEx, genotype-tissue expression; AFR, African; OPC, oligodendrocyte precursor cell; eQTL, expression quantitative trait loci; DEG, differential expressed gene; Astro, astrocyte; Exc, excitatory neuron; Inh, inhibitory neuron; CAMs, cell adhesion molecules; Micro, microglia; Oligo, oligodendrocyte; End, endothelial cells; Fib, fibroblasts; Per, pericytes; SMC, smooth muscle cell; VLMC, vascular and leptomeningeal cells; Micro-PVM, microglia and perivascular macrophages; GWAS, genome-wide association analysis; scATAC, single-cell chromatin accessibility; SEA-AD, Seattle Alzheimer’s Disease Brain Cell Atlas.

Article Snippet: We employed three different eQTL databases: genotype-tissue expression (GTEx) eQTL data, cell type-specific eQTL data from the Religious Orders Study/Memory and Aging Project (ROSMAP), and MetaBrain eQTL data.

Techniques: Biomarker Discovery, Variant Assay, Derivative Assay, Expressing, GWAS