Integrative GWAS and co-localisation analysis suggests novel genes associated with age-related multimorbidity

Abstract Advancing age is the greatest risk factor for developing multiple age-related diseases. Therapeutic approaches targeting the underlying pathways of ageing, rather than individual diseases, may be an effective way to treat and prevent age-related morbidity while reducing the burden of polyph...

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Bibliographic Details
Main Authors: Clare E. West, Mohd Karim, Maria J. Falaguera, Leo Speidel, Charlotte J. Green, Lisa Logie, Jeremy Schwartzentruber, David Ochoa, Janet M. Lord, Michael A. J. Ferguson, Chas Bountra, Graeme F. Wilkinson, Beverley Vaughan, Andrew R. Leach, Ian Dunham, Brian D. Marsden
Format: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02513-4
Description
Summary:Abstract Advancing age is the greatest risk factor for developing multiple age-related diseases. Therapeutic approaches targeting the underlying pathways of ageing, rather than individual diseases, may be an effective way to treat and prevent age-related morbidity while reducing the burden of polypharmacy. We harness the Open Targets Genetics Portal to perform a systematic analysis of nearly 1,400 genome-wide association studies (GWAS) mapped to 34 age-related diseases and traits, identifying genetic signals that are shared between two or more of these traits. Using locus-to-gene (L2G) mapping, we identify 995 targets with shared genetic links to age-related diseases and traits, which are enriched in mechanisms of ageing and include known ageing and longevity-related genes. Of these 995 genes, 128 are the target of an approved or investigational drug, 526 have experimental evidence of binding pockets or are predicted to be tractable, and 341 have no existing tractability evidence, representing underexplored genes which may reveal novel biological insights and therapeutic opportunities. We present these candidate targets for exploration and prioritisation in a web application.
ISSN:2052-4463