PhenofhyThe Python package to process pheno data in Our Future Health

User-friendly, efficient and easy to install. Built for the OFH DNAnexus trusted research environment.

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DNAnexus Integration

Purpose-built for the Our Future Health trusted research environment (TRE) with simple platform installation and configuration

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Streamlined Phenotype Preprocessing

Easily extract and preprocess phenotype data in the Our Future Health TRE in a few lines of intuitive code

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Generate pre-GWAS Phenotype Report

Quickly generate initial data analysis report to assess phenotype data quality before GWAS analysis

Getting Started

1️⃣ Environment & Setup

Review the TRE, Python, and DNAnexus requirements before using Phenofhy.

2️⃣ DNAnexus

Learn the project, dataset, and JupyterLab concepts behind the workflow.

3️⃣ Installation

Install Phenofhy locally or set it up in the OFH trusted research environment.

4️⃣ Quickstart

Initialize a project and run your first phenotype extraction workflow.

Nature Medicine · Open Access

Read the case study: Phenomic profiles and disease patterns of 1.9 million participants from Our Future Health

This paper, published in Nature Medicine, uses Phenofhy to assess the phenotypes of Our Future Health at its halfway recruitment goal.

Read the paper

How to cite

Straub, V.J., Benonisdottir, S., Bentivoglio, G.S. et al. Phenomic profiles and disease patterns of 1.9 million participants from Our Future Health. Nat Med (2026). https://doi.org/10.1038/s41591-026-04602-4

Acknowledgements

This project was supported by ESSGN (grant no. HORIZON-MSCA-DN-2021 [101073237]) and the Leverhulme Trust Large Centre Grant LCDS (grant no. RC-2018-003).