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

Access to Document

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

AAM_journal.pmed.1004247
Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/.
Final published version, 2.2 MBLicence: Creative Commons: Attribution (CC-BY)

6 Finished
6 Active

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
DATAMIND: Data Hub for Mental health INformatics research Development
McIntosh, A., Adams, M., Iveson, M. & Smith, D.
MRC
1/09/21 → 31/08/24
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

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

@article{4cd4c6a3d21d47509edfc43e93dc8e3c,

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",

month = jul,

day = "6",

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

language = "English",

volume = "20",

journal = "PLoS Medicine",

issn = "1549-1277",

publisher = "Public Library of Science",

number = "7",

}

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

TY - JOUR

T1 - Blood-based epigenome-wide analyses of nineteen common disease states:

T2 - A longitudinal, population-based linked cohort study of 18,413 Scottish individuals

AU - Hillary, Robert

AU - McCartney, Daniel L

AU - Smith, Hannah

AU - Bernabeu, Elena

AU - Gadd, Danni

AU - Chybowska, Aleksandra

AU - Cheng, Yipeng

AU - Murphy, Lee

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

M3 - Article

SN - 1549-1277

VL - 20

JO - PLoS Medicine

JF - PLoS Medicine

IS - 7

M1 - e1004247

ER -

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

DATAMIND: Data Hub for Mental health INformatics research Development

Exploiting genomic approaches to identify the environmental basis of depression

Equipment

Genetics Core, Edinburgh Clinical Research Facility

Cite this