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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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
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author 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
author_facet 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
author_sort Clare E. West
collection DOAJ
description 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.
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spelling doaj.art-bd0a4e946edc4e929857d3968138af9c2023-11-19T12:20:26ZengNature PortfolioScientific Data2052-44632023-09-0110111310.1038/s41597-023-02513-4Integrative GWAS and co-localisation analysis suggests novel genes associated with age-related multimorbidityClare E. West0Mohd Karim1Maria J. Falaguera2Leo Speidel3Charlotte J. Green4Lisa Logie5Jeremy Schwartzentruber6David Ochoa7Janet M. Lord8Michael A. J. Ferguson9Chas Bountra10Graeme F. Wilkinson11Beverley Vaughan12Andrew R. Leach13Ian Dunham14Brian D. Marsden15Centre for Medicines Discovery, University of OxfordOpen Targets, Wellcome Genome CampusOpen Targets, Wellcome Genome CampusFrancis Crick InstituteDrug Discovery Unit, University of DundeeDrug Discovery Unit, University of DundeeEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome CampusOpen Targets, Wellcome Genome CampusMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of BirminghamDrug Discovery Unit, University of DundeeCentre for Medicines Discovery, University of OxfordMedicines Discovery CatapultCentre for Medicines Discovery, University of OxfordOpen Targets, Wellcome Genome CampusOpen Targets, Wellcome Genome CampusCentre for Medicines Discovery, University of OxfordAbstract 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.https://doi.org/10.1038/s41597-023-02513-4
spellingShingle 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
Integrative GWAS and co-localisation analysis suggests novel genes associated with age-related multimorbidity
Scientific Data
title Integrative GWAS and co-localisation analysis suggests novel genes associated with age-related multimorbidity
title_full Integrative GWAS and co-localisation analysis suggests novel genes associated with age-related multimorbidity
title_fullStr Integrative GWAS and co-localisation analysis suggests novel genes associated with age-related multimorbidity
title_full_unstemmed Integrative GWAS and co-localisation analysis suggests novel genes associated with age-related multimorbidity
title_short Integrative GWAS and co-localisation analysis suggests novel genes associated with age-related multimorbidity
title_sort integrative gwas and co localisation analysis suggests novel genes associated with age related multimorbidity
url https://doi.org/10.1038/s41597-023-02513-4
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