Author

Aiden Doherty

University of OxfordORCID 0000-0003-1840-0451Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 4 Research Focus:GWAS / association mapping· 3 Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1

Frequent Co-Authors

Chris HolmesiD· 2 shared Karl Smith-ByrneiD· 2 shared Amy FergusoniD· 1 shared Andrew Mark McIntoshiD· 1 shared Breda CulleniD· 1 shared Cathy A. WyseiD· 1 shared Cecilia M. LindgreniD· 1 shared Claire L. NiedzwiedziD· 1 shared

Activity by Year

2018-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetics

Chris HolmesORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJul 17, 2025

Discovering the genetic architecture of sleep regulation: genome-wide association study of device-measured sleep traits.

Laura Portas, Hang Yuan, Lina Cai…·Aiden Doherty

This study identifies 20 genetic loci associated with sleep traits using UK Biobank data, including novel signals for REM and NREM sleep duration and sex-specific associations.

DOI 10.1101/2025.07.17.25331692

humanelectronic health records

𝕏 PostBluesky

GeneticsNature CommunicationsPeer-reviewedDec 4, 2018

GWAS identifies 10 loci for objectively-measured physical activity and sleep with causal roles in cardiometabolic disease.

Aiden Doherty, Karl Smith-Byrne, Teresa Cruz Ferreira…·Cecilia M. Lindgren

This paper conducts a GWAS on objectively-measured physical activity and sleep traits, identifying 10 loci with potential causal roles in cardiometabolic disease.

408 citationstop 1%

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsEBioMedicinePeer-reviewedAug 14, 2018

Genome-wide association study of circadian rhythmicity in 71 500 UK Biobank participants and polygenic association with mood instability

Amy Ferguson, Laura M. Lyall, Joey Ward…·Daniel J. Smıth

This study identifies genetic loci associated with circadian rhythmicity using UK Biobank data and finds polygenic associations with mood instability and major depressive disorder.

72 citationstop 5%

humanGWAS summary statistics

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedMay 15, 2018

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

Matthew Willetts, Sven Hollowell, Louis J. M. Aslett…·Aiden Doherty

The paper develops a machine learning model to classify physical activity and sleep behaviors from sensor data in UK Biobank participants, achieving 87% accuracy.

250 citationstop 1%

humanimaging

𝕏 PostBluesky