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376 results for “Causality”

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geo20/100

A systems genetics approach implicates USF1, FADS3 and other causal candidate genes for familial combined hyperlipidemia

GEO Series GSE17170. Homo sapiens. 70 samples. Type: Expression profiling by array.

openGEO-OpenSep 2009View details →
geo20/100

Dissecting Non-Coding GWAS Loci with High-Resolution 3D Chromatin Interactions Reveals Causal Genes with Relevance to Heart Failure [Hi-C]

GEO Series GSE281463. Homo sapiens. 4 samples. Type: Other.

openGEO-OpenJun 2025View details →
geo20/100

Coupled single-cell CRISPR screening and epigenomic profiling reveals causal gene regulatory networks

GEO Series GSE116297. Homo sapiens. 8711 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Other.

openGEO-OpenDec 2018View details →
geo20/100

A biallelic multiple nucleotide length polymorphism explains functional causality at the 5p15.33 prostate cancer risk locus [ATAC-Seq]

GEO Series GSE231750. Homo sapiens. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJul 2023View details →
geo20/100

Gene expression during early infection of the resistant spring wheat cultivar Wuhan1 with Fusarium graminearum, the major causal agent of fusarium head blight in wheat

GEO Series GSE54553. Triticum aestivum. 10 samples. Type: Expression profiling by array.

openGEO-OpenJun 2015View details →
geo20/100

Variant-to-function analysis of the childhood obesity chr12q13 locus implicates rs7132908 as a causal variant within the 3’ UTR of FAIM2

GEO Series GSE241691. Homo sapiens. 59 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.

openGEO-OpenMar 2024View details →
geo20/100

Genome-wide enhancer-gene regulatory maps link causal variants to target genes underlying human colorectal cancer risk [ATAC-seq]

GEO Series GSE222766. Homo sapiens. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJan 2023View details →
geo20/100

Identification of causal genes about osteoporosis associated with risk loci using DLO Hi-C [Hi-C]

GEO Series GSE160394. Homo sapiens. 3 samples. Type: Other.

openGEO-OpenFeb 2023View details →
geo20/100

Identification of causal genes about osteoporosis associated with risk loci using DLO Hi-C

GEO Series GSE160396. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.

openGEO-OpenFeb 2023View details →
geo20/100

Infection exposure is a causal factor in B-precursor acute lymphoblastic leukemia as a result of Pax5 inherited susceptibility

GEO Series GSE62529. Mus musculus. 17 samples. Type: Expression profiling by array.

openGEO-OpenOct 2014View details →
geo20/100

Causal network inference from gene transcriptional time-series response to glucocorticoids

GEO Series GSE144663. Homo sapiens. 199 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2021View details →
geo20/100

Systems-based analyses of brain regions functionally impacted in Parkinson's disease reveals underlying causal mechanisms

GEO Series GSE54282. Homo sapiens. 33 samples. Type: Expression profiling by array.

openGEO-OpenSep 2014View details →
geo20/100

Integrating Molecular and Organismal Analyses of Rai1, The Causal Gene for Smith-Magenis Syndrome

GEO Series GSE81207. Mus musculus. 20 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.

openGEO-OpenJan 2017View details →
geo20/100

Identification of causal genes about osteoporosis associated with risk loci using DLO Hi-C [RNA-Seq]

GEO Series GSE160389. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2023View details →
geo20/100

Dissecting Non-Coding GWAS Loci with High-Resolution 3D Chromatin Interactions Reveals Causal Genes with Relevance to Heart Failure [Perturb-seq]

GEO Series GSE281464. Homo sapiens. 7 samples. Type: Other.

openGEO-OpenJun 2025View details →
geo20/100

Comparison between saprotrophic and biotrophic-like mycelia of cacao WBD causal agent Moniliophthora perniciosa

GEO Series GSE9701. Moniliophthora perniciosa. 16 samples. Type: Expression profiling by array.

openGEO-OpenJun 2008View details →
zenodo20/100

Summary level-data accompanying "A functional locus at 8q21.13 associated to FABP4 levels and causally links coronary artery disease and type 2 diabetes"

<p><strong>Introduction</strong></p> <p>These are the <em>Summary Level-data</em> as presented in:</p> <p>&quot;A functional locus at 8q21.13 associated to FABP4 levels and causally links coronary artery disease and type 2 diabetes&quot;. <em>Unpublished</em>.&nbsp;(tentative title)</p> <p>If you use these data please cite this DOI or the (pre)print when available.&nbsp;When you have any questions or comments regarding this study or these files, please contact me via:</p> <p><strong>Sander W. van der Laan, PhD</strong> | <em>Central Diagnostics Laboratory, Division Laboratory, Pharmacy and Biomedical genetics, Circulatory Health Program, University Medical Center Utrecht, Utrecht University</em> |&nbsp;s.w.vanderlaan-2 [at] umcutrecht [dot] nl or s.w.vanderlaan [at] gmail [dot] com | @swvanderlaan</p> <p>&nbsp;</p> <p><strong>Files and description</strong></p> <p>There are three files available:</p> <ol> <li>meta.GWAS.FABP4.1Gp1.EUR.MODEL1.*&nbsp;- Gzipped file containing all the (unfiltered) meta-analysis results for model 1 (FABP4 ~ SNP + age + sex + PC1-10 + study specific covariates). <ul> <li>Discovery dataset ends with: &quot;summaryQC.ELISAonly.txt.gz&quot;</li> <li>Replication dataset ends with: &quot;summaryQC.OLINKonly.txt.gz&quot;</li> <li>Combined dataset ends with: &quot;summaryQC.txt.gz&quot;</li> </ul> </li> <li>meta.GWAS.FABP4.1Gp1.EUR.MODEL2.*&nbsp;- Gzipped file containing all the (unfiltered) meta-analysis results for model 2 (FABP4 ~ SNP + age + sex + PC1-10 + study specific covariates + BMI). <ul> <li>Discovery dataset ends with: &quot;summaryQC.ELISAonly.txt.gz&quot;</li> <li>Replication dataset ends with: &quot;summaryQC.OLINKonly.txt.gz&quot;</li> <li>Combined dataset ends with: &quot;summaryQC.txt.gz&quot;</li> </ul> </li> <li>meta.GWAS.FABP4.1Gp1.EUR.MODEL3.* -&nbsp;Gzipped file containing all the (unfiltered) meta-analysis results for model 3 (FABP4 ~ SNP + age + sex + PC1-10 + study specific covariates + BMI + eGFR). <ul> <li>Discovery dataset ends with: &quot;summaryQC.ELISAonly.txt.gz&quot;</li> <li>Replication dataset ends with: &quot;summaryQC.OLINKonly.txt.gz&quot;</li> <li>Combined dataset ends with: &quot;summaryQC.txt.gz&quot;</li> </ul> </li> </ol> <p>All these files have the same lay-out and are gzipped. The reference used for meta-analysis of GWAS was 1000G phase 1, version 3 (so called &#39;ALL.wgs.integrated_phase1_v3.20101123.snps_indels_sv.sites&#39;-panel) using data from the EUR populations. For a more detailed explanation of these columns and the reason to include them, please refer to <a href="https://doi.org/10.1093/hmg/ddn288">De Bakker <em>et al.</em> Hum Mol Genet 2008</a>.&nbsp;</p> <ul> <li><em>VARIANTID</em> - variantID as represented in 1000G phase 1, version 3.</li> <li><em>CHR</em> - chromosome numbers [1-22 and X, Y, MT].</li> <li><em>POS</em> - base pair position.</li> <li><em>MINOR</em> - minor allele as present in 1000G.</li> <li><em>MAJOR</em> - major allele as present in 1000G.</li> <li><em>MAF</em> - minor allele frequency as present in 1000G.</li> <li><em>CODEDALLELE</em> - coded allele, <em>i.e.</em> the effect allele, as represented (and harmonized) across cohorts. Note that this is not necessarily the minor allele!</li> <li><em>OTHERALLELE</em> - the other allele, <em>i.e.</em> the non-effect allele.</li> <li><em>CAF</em> - coded allele frequency, <em>i.e.</em> the effect allele frequency. Note that this is not necessarily the minor allele frequency!</li> <li><em>N_EFF</em> - the effective sample size corrected for the imputation quality.</li> <li><em>Z_SQRTN</em> - Z-score of the effective sample-size-weighted meta-analysis.</li> <li><em>P_SQRTN</em> - P-value of the effective sample-size-weighted meta-analysis.</li> <li><em>BETA_FIXED</em> - beta from the fixed-effects model.</li> <li><em>SE_FIXED</em>&nbsp;- standard error from the fixed-effects model.</li> <li><em>Z_FIXED</em> - z-score from the fixed-effects model.</li> <li><em>P_FIXED</em>&nbsp;- P-value&nbsp;from the fixed-effects model.</li> <li><em>BETA_LOWER_FIXED</em> - 95% lower confidence interval of the beta&nbsp;from the fixed-effects model.</li> <li><em>BETA_UPPER_FIXED</em>&nbsp;- 95% upper confidence interval of the beta&nbsp;from the fixed-effects model.</li> <li><em>BETA_GC</em> - beta after correcting the fixed-effects beta for genomic inflation.</li> <li><em>SE_GC</em> - standard error after correcting the fixed-effects SE for genomic inflation.</li> <li><em>Z_GC</em> - Z-score after correcting the fixed-effects Z-score for genomic inflation.</li> <li><em>P_GC</em> - P-value after correcting the fixed-effects p-value&nbsp;for genomic inflation.</li> <li><em>BETA_RANDOM</em>&nbsp;- beta from the random-effects model.</li> <li><em>SE_RANDOM</em>&nbsp;- standard error from the random-effects model.</li> <li><em>Z_RANDOM</em>&nbsp;- Z-score from the random-effects model.</li> <li><em>P_RANDOM</em>&nbsp;- P-value from the random-effects model.</li> <li><em>BETA_LOWER_RANDOM</em>&nbsp;- 95% lower confidence interval of the beta from the random-effects model.</li> <li><em>BETA_UPPER_RANDOM</em>&nbsp;- 95% upper confidence interval of the beta from the random-effects model.</li> <li><em>COCHRANS_Q</em> - Cochran&#39;s Q as a measure of heterogeneity between studies (<a href="https://wiki.joannabriggs.org/pages/viewpage.action?pageId=9273407">see this wiki</a>).</li> <li><em>DF</em> - degrees of freedom, equals the number of studies included for the respective variant (<em>N</em>) minus 1, <em>i.e.</em>&nbsp;<em>DF =&nbsp;N-1</em>.</li> <li><em>P_COCHRANS_Q</em> - P-value of Cochran&#39;s heterogeneity test.</li> <li><em>I_SQUARED</em> - <em>I<sup>2</sup></em> as a measure of heterogeneity between studies (<a href="https://wiki.joannabriggs.org/display/MANUAL/3.3.10.2+Quantification+of+the+statistical+heterogeneity%3A+I+squared">see this wiki</a>).</li> <li><em>TAU_SQUARED</em> - <em>Tau<sup>2</sup></em> as a measure of true heterogeneity between studies (<a href="https://wiki.joannabriggs.org/display/MANUAL/3.3.10.3+Tau-squared+for+random+effects+model+meta-analysis">see this wiki</a>).</li> <li><em>DIRECTIONS</em> -&nbsp;the sign of beta in each contributing cohort, annotated as &ldquo;.&rdquo; if the variant is missing from a particular cohort.</li> <li><em>GENES_250KB</em> - list of all genes as mapped using GENCODE v19 (GRCh37, hg19, Feb2009) with 250kb.</li> <li><em>NEAREST_GENE</em> - the gene closest to the respective variant.</li> <li><em>NEAREST_GENE_ENSEMBLID</em> - the ENSEMBLID of the nearest gene.</li> <li><em>NEAREST_GENE_STRAND</em> - strand on which the nearest gene is present.</li> <li><em>VARIANT_FUNCTION</em> - variant function as taken from dbSNP v150.</li> <li><em>CAVEAT</em> - potential issue as reported by <a href="https://github.com/swvanderlaan/MetaGWASToolKit">MetaGWASToolKit</a>, <em>e.g.</em> if the variant is an A/T or C/G SNP with allele frequency between 0.35 and 0.65 (indicating strandedness ambiguity).</li> <li><em>QC</em> - utility column, can be used to filter out all the variants with <em>e.g.</em>&nbsp;&#39;CAF&#39; &lt; 0.001, &#39;DF&#39; &lt;= 2, &#39;N_EFF&#39; &lt; 5000 and &#39;CAVEAT&#39; having an issue depending on the dataset used (discovery, replication, or combined).</li> </ul> <p>&nbsp;</p>

restrictedAug 2018View details →
zenodo20/100

Automated causal inference in application to randomized controlled clinical trials

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2023View details →
zenodo20/100

Literal interviews (The Mutual Influence between Entrepreneurial Marketing and Causal and Effectual Entrepreneurship: An Empirical Study in an Emerging and Developing Economy)

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →
zenodo20/100

Fig. 3 in Argyrotoxins A-C, a trisubstituted dihydroisobenzofuranone, a tetrasubstituted 2-hydroxyethylbenzamide and a tetrasubstitutedphenyl trisubstitutedbutyl ether produced by Alternaria argyroxiphii, the causal agent of leaf spot on African mahogany trees (Khaya senegalensis)

Fig. 3. Mnemonic scheme relating the absolute configuration and the sign of the A band in the ECD spectrum of biphenylamides. L = largest group, M = medium size group, S = smallest group.

opennotspecifiedNov 2021View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record