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@TwinsUK

Department of Twin Research and Genetic Epidemiology

Advancing health research

TwinsUK GitHub Organisation

Welcome to the official GitHub organisation for TwinsUK, the UK’s largest adult twin registry, based at King’s College London. This GitHub space hosts code, documentation, and tools used across our research studies, data infrastructure projects, and collaborative analyses.

About TwinsUK

TwinsUK is proud to be a globally recognised platform for longitudinal health research, offering unique insights into the interplay of genetics, environment, and lifestyle in shaping our health over time. Our cohort includes more than 15,000 participants from across the UK, creating an unparalleled resource for researchers worldwide. Our research has evolved to address a wide range of conditions, including cardiovascular disease, diabetes, ageing, mental health, and microbiome studies, providing a comprehensive view of human health and disease. Our work spans:

  • Ageing
  • Long term conditions
  • Genomics & multi-omics
  • Environment & the exposome
  • Nutrition
  • Infection and immunity
  • Biosocial Research
  • Population health

Best practice for organisation members

If youre new here please read the TwinsUK github intro.

Ensuring against disclosure is of utmost importance to us. If you're not familiar with using git or github, we've set up some template repositories which you can use to initialise your project. These have branch protection and .gitignore files ready set to help you ensure youre only sharing what you mean to. These include a script to purge your repo incase of accidental disclosure.

We recommend all projects should be initialised as private until disclosure control checks have been run

They can be viewed by members of TwinsUK who you invite to collaborate when set to private.

Data Privacy & Access

TwinsUK handles sensitive health and genomic data. Please note:

  • No raw participant data is stored in this GitHub organisation
  • Sharing of data or results must follow ethical approvals and data governance policies

Contact

If you have any questions or suggestions, please open an issue, or contact:

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