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

HAPNEST Data provides a high-fidelity synthetic genomic resource designed to mimic the scale of modern biobanks. It contains data for 100,000 synthetic individuals across all 22 autosomes, generated by author Koka, Taulant and last updated in April 2026. This data is optimized for benchmarking large-scale genetic analysis pipelines.

Use Cases

• Benchmarking large-scale Genome-Wide Association Study (GWAS) pipelines based on synthetic genomic data
• Testing and developing polygenic risk score (PRS) algorithms using simulated biobank-scale data
• Evaluating population genetic software performance on high-fidelity synthetic resources
• Method validation for genetic analysis tools using a controlled, full-scale dataset

Strengths

• Contains data for 100,000 synthetic individuals, matching modern biobank scale
• Covers all 22 autosomes, providing full chromosomal coverage
• Designed as a high-fidelity resource specifically for benchmarking genetic analyses

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 complexities of real human genomic data

Provenance

Source

HAPNEST Data

Collection Method

Generated using the Hapnest framework to create synthetic genomic data.

Time Range

Synthetic data generation date is unspecified; dataset metadata updated April 2026.

Freshness

Last updated 2026-04-09 11:42:28; freshness should be verified

Geography

Spatial coverage is not specified; data is synthetic and not tied to a specific geography.