Evaluation of HCNetlas for cell type-resolved disease genetics.

(<b>A)</b> Heatmap displaying the disease profiles of various cell types across different tissues, conducted with gene set variation analysis (GSVA). Each column represents a CGN of HCNetlas, while each row corresponds to a disease gene set sourced from either DisGeNET or GWAS Catalog. Color intensity indicates the degree of association of the CGN signature genes with each disease gene set. (<b>B</b>, <b>C</b>) Bar graphs showing the within-group connectivity of genes associated with Schizophrenia (B) and Alzheimer’s Disease (C) across different cell lineages or tissues. These disease-associated genes were collected from GWAS catalog. The data underlying this figure can be found in <a href="https://doi.org/10.5281/zenodo.14522296" target="_blank">https://doi.org/10.5281/zenodo.14522296</a>. (PDF)

Publication Details

Journal
Figshare
Published
2025-02-05
DOI
https://doi.org/10.1371/journal.pbio.3002702.s004
Primary Topic
Bioinformatics and Genomic Networks
Type
article
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0.00
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article

Evaluation of HCNetlas for cell type-resolved disease genetics.

Figshare
Bioinformatics and Genomic Networks
article

Evaluation of HCNetlas for cell type-resolved disease genetics.

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Abstract

(<b>A)</b> Heatmap displaying the disease profiles of various cell types across different tissues, conducted with gene set variation analysis (GSVA). Each column represents a CGN of HCNetlas, while each row corresponds to a disease gene set sourced from either DisGeNET or GWAS Catalog. Color intensity indicates the degree of association of the CGN signature genes with each disease gene set. (<b>B</b>, <b>C</b>) Bar graphs showing the within-group connectivity of genes associated with Schizophrenia (B) and Alzheimer’s Disease (C) across different cell lineages or tissues. These disease-associated genes were collected from GWAS catalog. The data underlying this figure can be found in <a href="https://doi.org/10.5281/zenodo.14522296" target="_blank">https://doi.org/10.5281/zenodo.14522296</a>. (PDF)

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Bioinformatics and Genomic Networks
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