HAPNEST Data Full: Synthetic Genomic Resource for 100,000 Individuals

HAPNEST Data Full (21-30) is a high-fidelity, full-scale synthetic genomic resource generated using the Hapnest framework. It mimics the scale and complexity of modern biobanks, containing data for 100,000 synthetic individuals across all 22 autosomes. The dataset was authored by Taulant Koka and last updated on April 9, 2026.

Use Cases

• Benchmarking genome-wide association study (GWAS) pipelines based on the synthetic biobank-scale data.
• Testing polygenic risk score (PRS) algorithms based on the full-scale, high-fidelity genomic resource.
• Evaluating population genetic software based on the data designed to mimic modern biobank complexity.

Strengths

• Contains data for 100,000 synthetic individuals, matching the scale of modern biobanks.
• Covers all 22 autosomes, providing a full-scale genomic resource.
• Designed for high-fidelity simulation of biobank complexity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is synthetic, which may not capture all nuances of real-world genomic data.

Provenance

Source

HAPNEST Data, authored by Taulant Koka.

Collection Method

Generated using the Hapnest framework to create a synthetic genomic resource.

Time Range

Runs 21-30 of the generation process.

Freshness

Last updated 2026-04-09 11:40:36; freshness should be verified.

Geography

Synthetic data; no specific geographic coverage.