agricola
agricola is a Python package and command-line tool for conducting genome-wide association studies (GWAS) in admixed populations. Inspired by regenie and Tractor, agricola provides a scalable, local-ancestry–aware framework that handles relatedness, population structure, and ancestry effect heterogeneity.
Full documentation can be found here
Why agricola?
Admixed individuals have unique LD patterns that can improve signal localization and improve power for population-specific causal variants. However, standard GWAS tools fail to adjust for local ancestry or model effect heterogeneity in admixed individuals.
Tools like Tractor and SAIGE-Tractor address this gap. agricola follows the same conceptual approach-performing single-variant association tests with explicit local ancestry adjustment-but combines it with:
- Accelerated linear algebra via JAX
- CUDA GPU, TPU, or CPU support for flexible compute environments
- Efficient local ancestry queries using lanctools
- Multi-phenotype modeling
- Adjustment for sample relatedness
Documentation
Full documentation, including examples, methods description, and details can be found here: https://frankp-0.github.io/agricola
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