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hssling/genomerisklab-prs
genomerisklab-prs is a machine learning model from hssling. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
RESEARCH USE ONLY — Not for clinical or diagnostic purposes.
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Updated Oct 4, 2026
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From the Hugging Face model README
RESEARCH USE ONLY — Not for clinical or diagnostic purposes.
| Field | Value |
|---|---|
| Disease | {DISEASE_NAME} |
| PGS Catalog ID | {PGS_ID} |
| PGS Version | {PGS_VERSION} |
| GWAS Source | {GWAS_SOURCE} |
| Genome Build | {GENOME_BUILD} |
| N Variants | {N_VARIANTS} |
| Training Ancestry | {TRAINING_ANCESTRY} |
This is an additive linear PRS model:
PRS = Σ (dosage_i × effect_weight_i)
where dosage_i ∈ {0, 1, 2} is the count of effect alleles at variant i
and effect_weight_i is the log-odds (or beta) weight from PGS Catalog.
Weights were derived from a GWAS meta-analysis ({GWAS_SOURCE}). Full details at the PGS Catalog entry: https://www.pgscatalog.org/score/{PGS_ID}/
Raw scores are calibrated against 1000 Genomes Project Phase 3 distributions (genomerisklab-calibration-1kg). Percentile and risk band are ancestry-specific.
| Metric | Value | Population |
|---|---|---|
| AUC | {AUC} | {EVAL_POPULATION} |
| Nagelkerke R² | {R2} | {EVAL_POPULATION} |
Dr Siddalingaiah H S Professor, Department of Community Medicine Shridevi Institute of Medical Sciences and Research Hospital, Tumkur, India
If you use this model, please cite the original GWAS and the PGS Catalog:
@article{lambert2021pgscatalog,
title={The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation},
author={Lambert, Samuel A and others},
journal={Nature Genetics},
year={2021},
doi={10.1038/s41588-021-00783-5}
}
This model card template is provided for informational purposes. Actual model performance must be validated on independent cohorts before any use. This software is not a medical device and has not been evaluated by any regulatory authority.