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View article: Disease-associated variants are enriched for altering cell-type-specific gene co-expression relationships
Disease-associated variants are enriched for altering cell-type-specific gene co-expression relationships Open
Genes act within complex regulatory networks, and genetic variants can perturb these networks by altering gene co-expression. Here, we performed co-expression quantitative trait locus (co-eQTL) mapping using single-cell RNA-seq from the sc…
View article: Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data
Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data Open
View article: Multiomic analyses uncover immunological signatures in acute and chronic coronary syndromes
Multiomic analyses uncover immunological signatures in acute and chronic coronary syndromes Open
Acute and chronic coronary syndromes (ACS and CCS) are leading causes of mortality. Inflammation is considered a key pathogenic driver of these diseases, but the underlying immune states and their clinical implications remain poorly unders…
View article: Single-Cell Dissection of the Immune Response After Acute Myocardial Infarction
Single-Cell Dissection of the Immune Response After Acute Myocardial Infarction Open
BACKGROUND: The immune system’s role in ST-segment–elevated myocardial infarction (STEMI) remains poorly characterized but is an important driver of recurrent cardiovascular events. While anti-inflammatory drugs show promise in reducing re…
View article: Multi-Omic Factor Analysis uncovers immunological signatures with pathophysiologic and clinical implications in coronary syndromes
Multi-Omic Factor Analysis uncovers immunological signatures with pathophysiologic and clinical implications in coronary syndromes Open
Acute and chronic coronary syndromes (ACS and CCS) are leading causes of mortality. Inflammation is considered to be a key pathogenic driver, but immune states in humans and their clinical implications remain poorly understood. We hypothes…
View article: Single-cell dissection of the immune response after acute myocardial infarction
Single-cell dissection of the immune response after acute myocardial infarction Open
The role of the immune system during and in response to acute myocardial infarction (MI) is poorly characterized but is an important driver of recurrent cardiovascular events. Anti-inflammatory drugs have shown promising effects on lowerin…
View article: Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
View article: Additional file 14 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 14 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 14: Table S19. Colocalization results for co-eQTL signal with GWAS signal
View article: Additional file 1 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 1 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 1: Supplementary Tables. Collection of small supplementary tables (S1-2,4-5,7-8,11-12) plus all table captions; large supplementary tables are saved as separate csv files in the following.
View article: Additional file 15 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 15 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 15: Table S20. GO enrichment for co-eGenes associated with the same eQTL, variation of Supplementary Table 14 with a stricter background
View article: Additional file 12 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 12 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 12: Table S17. Enrichment of co-eGenes for GWAS results
View article: Additional file 9 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 9 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 9: Table S14. GO enrichment for co-eGenes associated with the same eQTL, for all eQTLs with at least 5 co-eGenes
View article: Additional file 11 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 11 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 11: Table S16. Annotated co-eQTL SNP with GWAS results
View article: Additional file 4 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 4 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 4: Table S3. eQTLs for major cell types.
View article: Additional file 7 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 7 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 7: Table S10. The significant co-eQTLs for the major cell types without the filtering strategy
View article: Additional file 5 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 5 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 5: Table S6. The significant co-eQTLs for the major cell types with the filtering strategy
View article: Additional file 10 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 10 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 10: Table S15. TF enrichment of co-eGenes co-eGenes associated with the same eQTL, for all eQTLs with at least 5 co-eGenes, using the Remap 2022 ChIP-seq data
View article: Additional file 8 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 8 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 8: Table S13. BIOS replication for unfiltered co-eQTLs for major cell types
View article: Additional file 13 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 13 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 13: Table S18. Colocalization results for eQTL signal with GWAS signal
View article: Additional file 6 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 6 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data Open
Additional file 6: Table S9. BIOS replication for filtered co-eQTLs for major cell types.