Blood-based epigenome-wide analyses of nineteen common disease states:: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals

Robert Hillary; Daniel L McCartney; Hannah Smith; Elena Bernabeu; Danni Gadd; Aleksandra Chybowska; Yipeng Cheng; Lee Murphy; Nicola Wrobel; Rosie Walker; Caroline Hayward; Kathryn Louise Evans; Andrew M McIntosh; Riccardo E Marioni

doi:10.1371/journal.pmed.1004247

Blood-based epigenome-wide analyses of nineteen common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals

Robert Hillary, Daniel L McCartney, Hannah Smith, Elena Bernabeu, Danni Gadd, Aleksandra Chybowska, Yipeng Cheng, Lee Murphy, Nicola Wrobel, Rosie Walker, Caroline Hayward, Kathryn Louise Evans, Andrew M McIntosh, Riccardo E Marioni^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	e1004247
Journal	PLoS Medicine
Volume	20
Issue number	7
DOIs	https://doi.org/10.1371/journal.pmed.1004247
Publication status	Published - 6 Jul 2023

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10.1371/journal.pmed.1004247Licence: Creative Commons: Attribution (CC-BY)

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4 Active
8 Finished

Branching out: investigating the role of protein glycosylation in the biology and prediction of cardiovascular disease
Hillary, R., Sudlow, C. & Ralser, M.
1/04/23 → 31/03/27
Project: Research
Exploiting genomic approaches to identify the environmental basis of depression
McIntosh, A.
UK-based charities
1/06/21 → 31/05/26
Project: Research
Translational Neuroscience 2
Lawrie, S.
UK-based charities
1/10/20 → 30/09/28
Project: Research

Genetics Core, Edinburgh Clinical Research Facility
Lee Murphy (Manager), Angie Fawkes (Other), Katarzyna Hafezi (Other), Richard Clark (Other), Amanda MacCallum (Other), Emma Aitken (Other) & Louise Macgillivray (Other)
Deanery of Clinical Sciences
Facility/equipment: Facility

Cite this

Hillary, R., McCartney, D. L., Smith, H., Bernabeu, E., Gadd, D., Chybowska, A., Cheng, Y., Murphy, L., Wrobel, N., Walker, R., Hayward, C., Evans, K. L., McIntosh, A. M., & Marioni, R. E. (2023). Blood-based epigenome-wide analyses of nineteen common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals. PLoS Medicine, 20(7), Article e1004247. https://doi.org/10.1371/journal.pmed.1004247

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title = "Blood-based epigenome-wide analyses of nineteen common disease states:: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals",

author = "Robert Hillary and McCartney, {Daniel L} and Hannah Smith and Elena Bernabeu and Danni Gadd and Aleksandra Chybowska and Yipeng Cheng and Lee Murphy and Nicola Wrobel and Rosie Walker and Caroline Hayward and Evans, {Kathryn Louise} and McIntosh, {Andrew M} and Marioni, {Riccardo E}",

note = "Publisher Copyright: Copyright: {\textcopyright} 2023 Hillary et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",

year = "2023",

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doi = "10.1371/journal.pmed.1004247",

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Hillary, R , McCartney, DL, Smith, H, Bernabeu, E, Gadd, D, Chybowska, A, Cheng, Y, Murphy, L, Wrobel, N, Walker, R , Hayward, C , Evans, KL , McIntosh, AM & Marioni, RE 2023, 'Blood-based epigenome-wide analyses of nineteen common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals', PLoS Medicine, vol. 20, no. 7, e1004247. https://doi.org/10.1371/journal.pmed.1004247

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AU - Bernabeu, Elena

AU - Gadd, Danni

AU - Chybowska, Aleksandra

AU - Cheng, Yipeng

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AU - Wrobel, Nicola

AU - Walker, Rosie

AU - Hayward, Caroline

AU - Evans, Kathryn Louise

AU - McIntosh, Andrew M

AU - Marioni, Riccardo E

N1 - Publisher Copyright: Copyright: © 2023 Hillary et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2023/7/6

Y1 - 2023/7/6

U2 - 10.1371/journal.pmed.1004247

DO - 10.1371/journal.pmed.1004247

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Blood-based epigenome-wide analyses of nineteen common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals

Access to Document

Projects

Branching out: investigating the role of protein glycosylation in the biology and prediction of cardiovascular disease

Exploiting genomic approaches to identify the environmental basis of depression

Translational Neuroscience 2

Equipment

Genetics Core, Edinburgh Clinical Research Facility

Cite this