---
_id: '7999'
abstract:
- lang: eng
text: 'Linking epigenetic marks to clinical outcomes improves insight into molecular
processes, disease prediction, and therapeutic target identification. Here, a
statistical approach is presented to infer the epigenetic architecture of complex
disease, determine the variation captured by epigenetic effects, and estimate
phenotype-epigenetic probe associations jointly. Implicitly adjusting for probe
correlations, data structure (cell-count or relatedness), and single-nucleotide
polymorphism (SNP) marker effects, improves association estimates and in 9,448
individuals, 75.7% (95% CI 71.70–79.3) of body mass index (BMI) variation and
45.6% (95% CI 37.3–51.9) of cigarette consumption variation was captured by whole
blood methylation array data. Pathway-linked probes of blood cholesterol, lipid
transport and sterol metabolism for BMI, and xenobiotic stimuli response for smoking,
showed >1.5 times larger associations with >95% posterior inclusion probability.
Prediction accuracy improved by 28.7% for BMI and 10.2% for smoking over a LASSO
model, with age-, and tissue-specificity, implying associations are a phenotypic
consequence rather than causal. '
article_number: '2865'
article_processing_charge: No
article_type: original
author:
- first_name: D
full_name: Trejo Banos, D
last_name: Trejo Banos
- first_name: DL
full_name: McCartney, DL
last_name: McCartney
- first_name: M
full_name: Patxot, M
last_name: Patxot
- first_name: L
full_name: Anchieri, L
last_name: Anchieri
- first_name: T
full_name: Battram, T
last_name: Battram
- first_name: C
full_name: Christiansen, C
last_name: Christiansen
- first_name: R
full_name: Costeira, R
last_name: Costeira
- first_name: RM
full_name: Walker, RM
last_name: Walker
- first_name: SW
full_name: Morris, SW
last_name: Morris
- first_name: A
full_name: Campbell, A
last_name: Campbell
- first_name: Q
full_name: Zhang, Q
last_name: Zhang
- first_name: DJ
full_name: Porteous, DJ
last_name: Porteous
- first_name: AF
full_name: McRae, AF
last_name: McRae
- first_name: NR
full_name: Wray, NR
last_name: Wray
- first_name: PM
full_name: Visscher, PM
last_name: Visscher
- first_name: CS
full_name: Haley, CS
last_name: Haley
- first_name: KL
full_name: Evans, KL
last_name: Evans
- first_name: IJ
full_name: Deary, IJ
last_name: Deary
- first_name: AM
full_name: McIntosh, AM
last_name: McIntosh
- first_name: G
full_name: Hemani, G
last_name: Hemani
- first_name: JT
full_name: Bell, JT
last_name: Bell
- first_name: RE
full_name: Marioni, RE
last_name: Marioni
- first_name: Matthew Richard
full_name: Robinson, Matthew Richard
id: E5D42276-F5DA-11E9-8E24-6303E6697425
last_name: Robinson
orcid: 0000-0001-8982-8813
citation:
ama: Trejo Banos D, McCartney D, Patxot M, et al. Bayesian reassessment of the epigenetic
architecture of complex traits. Nature Communications. 2020;11. doi:10.1038/s41467-020-16520-1
apa: Trejo Banos, D., McCartney, D., Patxot, M., Anchieri, L., Battram, T., Christiansen,
C., … Robinson, M. R. (2020). Bayesian reassessment of the epigenetic architecture
of complex traits. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-020-16520-1
chicago: Trejo Banos, D, DL McCartney, M Patxot, L Anchieri, T Battram, C Christiansen,
R Costeira, et al. “Bayesian Reassessment of the Epigenetic Architecture of Complex
Traits.” Nature Communications. Springer Nature, 2020. https://doi.org/10.1038/s41467-020-16520-1.
ieee: D. Trejo Banos et al., “Bayesian reassessment of the epigenetic architecture
of complex traits,” Nature Communications, vol. 11. Springer Nature, 2020.
ista: Trejo Banos D, McCartney D, Patxot M, Anchieri L, Battram T, Christiansen
C, Costeira R, Walker R, Morris S, Campbell A, Zhang Q, Porteous D, McRae A, Wray
N, Visscher P, Haley C, Evans K, Deary I, McIntosh A, Hemani G, Bell J, Marioni
R, Robinson MR. 2020. Bayesian reassessment of the epigenetic architecture of
complex traits. Nature Communications. 11, 2865.
mla: Trejo Banos, D., et al. “Bayesian Reassessment of the Epigenetic Architecture
of Complex Traits.” Nature Communications, vol. 11, 2865, Springer Nature,
2020, doi:10.1038/s41467-020-16520-1.
short: D. Trejo Banos, D. McCartney, M. Patxot, L. Anchieri, T. Battram, C. Christiansen,
R. Costeira, R. Walker, S. Morris, A. Campbell, Q. Zhang, D. Porteous, A. McRae,
N. Wray, P. Visscher, C. Haley, K. Evans, I. Deary, A. McIntosh, G. Hemani, J.
Bell, R. Marioni, M.R. Robinson, Nature Communications 11 (2020).
corr_author: '1'
date_created: 2020-06-22T11:18:25Z
date_published: 2020-06-08T00:00:00Z
date_updated: 2024-10-09T20:59:38Z
day: '08'
ddc:
- '570'
department:
- _id: MaRo
doi: 10.1038/s41467-020-16520-1
external_id:
isi:
- '000541702400004'
pmid:
- '32513961'
file:
- access_level: open_access
checksum: 4c96babd4cfb0d153334f6c598c0bacb
content_type: application/pdf
creator: dernst
date_created: 2020-06-22T11:24:32Z
date_updated: 2020-07-14T12:48:07Z
file_id: '8000'
file_name: 2020_NatureComm_Bayesian.pdf
file_size: 1475657
relation: main_file
file_date_updated: 2020-07-14T12:48:07Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
issn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1038/s41467-020-19099-9
scopus_import: '1'
status: public
title: Bayesian reassessment of the epigenetic architecture of complex traits
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11
year: '2020'
...