Author

Melvyn M. Hillsdon

University of ExeterORCID 0000-0003-2818-3278Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2 Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1

Frequent Co-Authors

Andrew R. WoodiD· 2 shared Anna MurrayiD· 2 shared Diego R. MazzottiiD· 2 shared Hanieh YaghootkariD· 2 shared Hassan S. DashtiiD· 2 shared Henning W. TiemeieriD· 2 shared Jacqueline M. LaneiD· 2 shared Jamie HarrisoniD· 2 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Andrew R. WoodORCID

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3 papers

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintApr 6, 2026

Validation and optimisation of wearable accelerometer data pre-processing for digital measure implementation and development

Joss Langford, Jia Ying Chua, Ian Long…·Melvyn M. Hillsdon

This paper validates and optimizes a modular pipeline for preprocessing wearable accelerometer data to ensure quality and traceability in digital health measures.

DOI 10.64898/2026.03.21.713324

imagingdeep learning

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GeneticsbioRxivPreprintSep 13, 2018

Genetic studies of accelerometer-based sleep measures in 85,670 individuals yield new insights into human sleep behaviour

Samuel E. Jones, Vincent T. van Hees, Diego R. Mazzotti…·Andrew R. Wood

This study identifies 47 genetic associations with sleep traits using accelerometer data from 85,670 individuals, including novel variants for sleep quality and duration.

14 citations

humanelectronic health records

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GeneticsbioRxivPreprintSep 13, 2018

Genome-wide association analyses of chronotype in 697,828 individuals provides new insights into circadian rhythms in humans and links to disease

Samuel E. Jones, Jacqueline M. Lane, Andrew R. Wood…·Michael N. Weedon

This study identifies 351 new genetic loci associated with chronotype using data from 697,828 individuals and links them to circadian biology and disease.

15 citations

humanGWAS summary statistics

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