ConceptioArchiveZenodo (CERN)
Zenodo (CERN)open access

Cell type-specific epigenetic regulatory circuitry of coronary artery disease loci

Hecker, Dennis et al. · Zenodo (CERN)
Zenodo (CERN) · Papers · License: Open Access
Open Source ↗
genome
Coronary artery disease, Genome-wide association study, Transcription factors

Cell type-specific epigenetic regulatory circuitry of coronary artery disease loci | Zenodo Skip to main Communities My dashboard Log in Sign up Published April 8, 2026 | Version 0.2 Publication Open Cell type-specific epigenetic regulatory circuitry of coronary artery disease loci Authors/Creators Hecker, Dennis 1 Song, Xiaoning 2 Baumgarten, Nina 1 Diagel, Anastasiia 2 Katsaouni, Nikoletta 1 Ling, Li 2 Li, Shuangyue 2 Kumar Maji, Ranjan 1 Behjati Ardakani, Fatemeh 1 Ma, Lijiang 3 et al. Show all 20 authors Authors/Creators 20 / 20 Hecker, Dennis 1 Song, Xiaoning 2 Baumgarten, Nina 1 Diagel, Anastasiia 2 Katsaouni, Nikoletta 1 Ling, Li 2 Li, Shuangyue 2 Kumar Maji, Ranjan 1 Behjati Ardakani, Fatemeh 1 Ma, Lijiang 3 Li, Zhaolong 2 Moggio, Aldo 2 Tews, Daniel 4 Sager, Hendrik 2 Maegdefessel, Lars 2 Wabitsch, Martin 4 Björkegren, Johan 3 Schunkert, Heribert 2 Chen, Zhifen 2 Schulz, Marcel Holger 1 1. Goethe University Frankfurt 2. Technical University of Munich 3. Icahn School of Medicine at Mount Sinai 4. Universität Ulm Close Description This data accompanies our publication in which we integrate a statistics of coronary artery disease (CAD) genetics from over one million individuals (10.1038/s41588-022-01233-6) with epigenetic data from 45 cell types to identify genes and transcription factors whose regulation is affected by variants. We apply two statistical approaches and identify 1,580 candidate disease genes, including 23.5% non-coding RNA genes. Here, we provide the SupplementaryData files, as well as additional resources. The code for the analyses is available on GitHub. SupplementaryData1-Enhancer_metadata.xlsx: Metadata for epigenome data for all 45 cell types SupplementaryData2-EnhancerInteractions_hg38.zip: Folder with REMs per cell type and their target genes. One bed-file per cell type with all candidate CREs and their comma-separated target genes in the 4th column. SupplementaryData3-GWAS_CAD_SNVs_hg38.xlsx: List of all CAD-SNVs (hg38) (corrected in Version 0.2) SupplementaryData4-SNEEPTable_hg38.xlsx: SNEEP result table, contains SNVs, TFs, CREs and genes (hg38) (corrected in Version 0.2) SupplementaryData5-CandidateCADGenes.xlsx: Gene table with all the integrated information and additional gene lists: known CAD GWAS genes, genes found via colocalization analysis, active genes, excluded genes SupplementaryData6-CandidateCADGenes_gProfiler.tsv.gz: Complete GO result table of the candidate CAD genes SupplementaryData7-TFTable_oddsRatios.xlsx: TF table with enrichment across cell types and input to Fig. 3A SupplementaryData8-STARNET_DifferentialExpression.csv.gz: CAD STARNET differential expression SupplementaryData9-TFSNV_eQTL_Overlap_Fig3D.txt: Overlap of TF-SNVs with eQTLs SupplementaryData10-CADTFs_TargetGenes_gProfiler.xlsx: Complete GO result table of CAD-TF target genes SupplementaryData11.1-columns_description.xlsx, SupplementaryData11.2-Coloc_GTEx_STARNET_PPH_statistics.csv.gz: Colocalization analysis results: posterior probabilities of colocalization (PPH0–PPH4) for tested gene–tissue–trait pairs and. 11.1 explains the columns, 11.2 has the data. SupplementaryData12.1-columns_description.xlsx, SupplementaryData12.2-GWAS_eQTL_Colocalization.csv.gz: Colocalization analysis results: SNV-level summary statistics. 12.1 explains the columns, 12.2 has the data. SupplementaryData13-GWAS_Phenotypes.xlsx: List of GWAS sources with CAD-relevant phenotypes SupplementaryData14-Primers.xlsx: List of primers for PCR and RT-qPCR SupplementaryData15_SNVs_IQCH_AS1_locus_coloc.xlsx: SNVs in the IQCH-AS1 locus shown in Fig. 4F (corrected in Version 0.2) SupplementaryData16-CDKN2B_AS1_CREs_hg38.xlsx: CREs and their target genes around CDKN2B-AS1, shown in Supplementary Fig. 3 SNPsnap_ld0.8_collection.tab.gz: contains all SNVs with LD >= 0.8 used to identify matching SNVs (default file from original SNPsnap implementation 10.1093/bioinformatics/btu655) Files SupplementaryData2-EnhancerInteractions_hg38.zip Files (747.6 MB) Name Size SNPsnap_ld0.8_collection.tab.gz md5:66784093c967f52710cd432530e5e0d4 596.0 MB Download SupplementaryData1-Enhancer_metadata.xlsx md5:a32790755d4219d92077e865b6f14544 16.8 kB Download SupplementaryData10-CADTFs_TargetGenes_gProfiler.xlsx md5:9b4e01b340a92ae28b4f586a92a3d972 112.1 kB Download SupplementaryData11.1-columns_description.xlsx md5:7d5409e63df21b9361352586650d0c6b 9.2 kB Download SupplementaryData11.2-Coloc_GTEx_STARNET_PPH_statistics.csv.gz md5:e7190eb48ad4cc45ffdf5cda0863ff29 3.1 MB Download SupplementaryData12.1-columns_description.xlsx md5:4b03882809caf0c3a448422cf220aae7 9.8 kB Download SupplementaryData12.2-GWAS_eQTL_Colocalization.csv.gz md5:0f7a0b30e1e4b27d50032cdf8f8767f0 30.2 MB Download SupplementaryData13-GWAS_Phenotypes.xlsx md5:ad837b17cbdb2cdf000154c21d36bdc4 13.1 kB Download SupplementaryData14-Primers.xlsx md5:84cc4d1d5372974b75732798283fa50a 12.4 kB Download SupplementaryData15_SNVs_IQCH_AS1_locus_coloc.xlsx.xlsx md5:7d13b2c07ea5a352ae05535c8877b834 264.8 kB Download SupplementaryData16-CDKN2B_AS1_CREs_hg38.xlsx md5:8913b1ef020a33656623582bc243d4b8 16.0 kB Download SupplementaryData2-EnhancerInteractions_hg38.zip md5:394f92664d96661fac2cb0f120ca0128 90.2 MB Preview Download SupplementaryData3-GWAS_CAD_SNVs_hg38.xlsx md5:c6d6efe5d46346f888f7e5ac22e47930 7.7 MB Download SupplementaryData4-SNEEPTable_hg38.xlsx md5:ead643fc3e8985e0d27e269d1e3ce569 9.6 MB Download SupplementaryData5-CandidateCADGenes.xlsx md5:c565a03bec11f33f20311c3e358956d3 953.6 kB Download SupplementaryData6-CandidateCADGenes_gProfiler.tsv.gz md5:d012803d2968988b0081cde1599da08e 3.3 MB Download SupplementaryData7-TFTable_oddsRatios.xlsx md5:acde7629bb63941d42f99a4dcb424bb5 49.2 kB Download SupplementaryData8-STARNET_DifferentialExpression.csv.gz md5:4d44c45d8ee9cfa7ed8fa5ce1a09d1a1 5.4 MB Download SupplementaryData9-TFSNV_eQTL_Overlap_Fig3D.txt md5:b55720366e67157429d4229ad6c484b5 575.5 kB Preview Download Additional details Related works Is source of Peer review: 10.1038/s41467-026-70216-6 (DOI) Software Repository URL https://github.com/schulzlab/cadlinc 288 Views 308 Downloads Show more details All versions This version Views Total views 288 34 Downloads Total downloads 308 160 Data volume Total data volume 9.3 GB 5.9 GB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Coronary artery disease Genome-wide association study Transcription factors Details DOI DOI Badge DOI 10.5281/zenodo.19466450 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.19466450.svg)](https://doi.org/10.5281/zenodo.19466450) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19466450.svg :target: https://doi.org/10.5281/zenodo.19466450 HTML <a href="https://doi.org/10.5281/zenodo.19466450"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19466450.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19466450.svg Target URL https://doi.org/10.5281/zenodo.19466450 Resource type Publication Publisher Zenodo Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 8, 2026 Modified April 8, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

Record · ID 124233 · SHA-256 9f7bb20ed4ecd035
Conceptio Open Knowledge Archive — every document is proof-bundled with source, license, and retrieval metadata.