LOL-EVE Ultra Rare Variants Dataset
Dataset Description
This dataset contains ultra rare variants from gnomAD for evaluating variant effect prediction models. The dataset includes variants with minor allele frequency (MAF) < 0.001 in promoter regions across diverse genes.
Dataset Structure
- Total Variants: ~549,000
- Species: Primates (Homo sapiens)
- Variant Types: Insertions, deletions, and substitutions in promoter regions
- Sequence Length: Up to 1,000bp promoter regions
- MAF Range: < 0.001 (ultra rare)
Features
Basic Variant Information
gene: Gene symbol
species: Species name
clade: Evolutionary clade
chromosome: Chromosome
position: Genomic position
ref: Reference allele
alt: Alternative allele
variant_type: Type of variant (insertion/deletion/substitution)
Sequences
wt_sequence: Wild-type sequence
var_sequence: Variant sequence
sequence_length: Length of sequence
wt_sequence_start: Start position of sequence
Variant Annotations
filter: Variant filtering status
maf: Minor allele frequency
Usage
from datasets import load_dataset
dataset = load_dataset("cshearer/LOL-EVE-UltraRare")
print(f"Dataset size: {len(dataset['train'])}")
print(f"Features: {dataset['train'].features}")
rare_variants = dataset['train'].filter(lambda x: x['maf'] < 0.0001)
print(f"Ultra rare variants (MAF < 0.0001): {len(rare_variants)}")
insertions = dataset['train'].filter(lambda x: x['variant_type'] == 'insertion')
deletions = dataset['train'].filter(lambda x: x['variant_type'] == 'deletion')
substitutions = dataset['train'].filter(lambda x: x['variant_type'] == 'substitution')
Citation
If you use this dataset in your research, please cite:
@article{loleve2024,
title={LOL-EVE: Language of Life - Evolutionary Variant Effects},
author={Your Name and Collaborators},
journal={Nature},
year={2024}
}
License
This dataset is released under the MIT License.