1k1k: Processed Single-cell eQTL Data for Autoimmune Disease

Processed 1k1k dataset in AnnData format, derived from the original study by Yazar et al. (2022). The dataset is 2.4 GB in size and was last updated on 2026-05-04. It is licensed under CC-BY-4.0 and was uploaded by Eljas Roellin.

Use Cases

• Mapping cell type-specific expression quantitative trait loci (eQTLs) based on single-cell RNA sequencing data.
• Investigating genetic control of autoimmune disease across different cell types.
• Re-analyzing the processed data from the 1k1k project for novel biological insights.
• Benchmarking new eQTL mapping or single-cell analysis methods.

Strengths

• Data is processed and provided in the AnnData format, which is standard for single-cell genomics analysis.
• Dataset is 2.4 GB, indicating a substantial processed single-cell dataset.
• Directly linked to a flagship paper published in Science (2022), providing strong scientific provenance.
• License is CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analyses.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Derived from the 1k1k project (onek1k.org) and the original study: Yazar, S., et al. (2022). Single-cell eQTL mapping identifies cell type–specific genetic control of autoimmune disease. Science, 376(6589), eabf3041.

Collection Method

Likely contains processed single-cell RNA sequencing data and genotype information for eQTL mapping.

Time Range

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Freshness

Last updated 2026-05-04 18:51:57; freshness should be verified.

Geography

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