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---
license: mit
tags:
- dna
- variant-effect-prediction
- biology
- genomics
---
# gnomAD variants
For more information check out our [paper](https://www.nature.com/articles/s41587-024-02511-w) and [repository](https://github.com/songlab-cal/gpn).
## Labels
| Label | Meaning |
| ----- | ---- |
| True | Rare, singleton (AC=1) |
| False | Common (MAF > 5%) |
Note that the label does not indicate deleteriousness/pathogenicity. This is not suitable for a classification task. We recommend calculating enrichment or rare variants at the tail of model scores.
## Usage
* Pandas
```python
import pandas as pd
df = pd.read_parquet("hf://datasets/songlab/gnomad/test.parquet")
```
* Polars
```python
import polars as pl
df = pl.read_parquet("https://huggingface.co/datasets/songlab/gnomad/resolve/main/test.parquet")
```
* Datasets
```python
from datasets import load_dataset
dataset = load_dataset("songlab/gnomad", split="test")
``` |