Genal: A Python Toolkit for Genetic Risk Scoring and Mendelian Randomization
Cyprien A. RivieriD, Santiago Clocchiatti‐TuozzoiD, Shufan HuoiD, Victor M Torres LopeziD, Daniela B. RenedoiD, Kevin N. Sheth, Guido J. FalconeiD, Julián AcostaiD
Abstract
SummaryHere we present Genal, a python module for population genetic analyses. It includes functionalities for cleaning and formatting Single Nucleotide Polymorphism (SNP)-level data, clumping, lifting, SNP association testing, polygenic risk scoring, and mendelian randomization analyses, all within a single module. It was designed with user-friendliness in mind, aiming to reduce the programming skills threshold required for medical scientists to perform genetic epidemiology studies. Genal eliminates the need to interact with the command line and switch between multiple R packages with different requirements, making it considerably more accessible to a wide range of researchers. Genal draws on concepts from several well-established tools, ensuring that users have access to rigorous statistical techniques in the intuitive Python environment.
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