Complex trait methylation scores in the prediction of major depressive disorder.
Avon longitudinal study of parents and children
DNA methylation
Environmental factors
Generation Scotland
Major depressive disorder
Methylation score
Journal
EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039
Informations de publication
Date de publication:
May 2022
May 2022
Historique:
received:
05
01
2022
revised:
28
03
2022
accepted:
29
03
2022
pubmed:
2
5
2022
medline:
18
5
2022
entrez:
1
5
2022
Statut:
ppublish
Résumé
DNA methylation (DNAm) is associated with time-varying environmental factors that contribute to major depressive disorder (MDD) risk. We sought to test whether DNAm signatures of lifestyle and biochemical factors were associated with MDD to reveal dynamic biomarkers of MDD risk that may be amenable to lifestyle interventions. Here, we calculated methylation scores (MS) at multiple p-value thresholds for lifestyle (BMI, smoking, alcohol consumption, and educational attainment) and biochemical (high-density lipoprotein (HDL) and total cholesterol) factors in Generation Scotland (GS) (N=9,502) and in a replication cohort (ALSPAC Each trait MS was significantly associated with its corresponding phenotype in GS (β We showed that lifestyle and biochemical MS were associated with MDD before and after adjustment for their corresponding phenotypes (p Wellcome Trust.
Sections du résumé
BACKGROUND
BACKGROUND
DNA methylation (DNAm) is associated with time-varying environmental factors that contribute to major depressive disorder (MDD) risk. We sought to test whether DNAm signatures of lifestyle and biochemical factors were associated with MDD to reveal dynamic biomarkers of MDD risk that may be amenable to lifestyle interventions.
METHODS
METHODS
Here, we calculated methylation scores (MS) at multiple p-value thresholds for lifestyle (BMI, smoking, alcohol consumption, and educational attainment) and biochemical (high-density lipoprotein (HDL) and total cholesterol) factors in Generation Scotland (GS) (N=9,502) and in a replication cohort (ALSPAC
FINDINGS
RESULTS
Each trait MS was significantly associated with its corresponding phenotype in GS (β
INTERPRETATION
CONCLUSIONS
We showed that lifestyle and biochemical MS were associated with MDD before and after adjustment for their corresponding phenotypes (p
FUNDING
BACKGROUND
Wellcome Trust.
Identifiants
pubmed: 35490552
pii: S2352-3964(22)00184-0
doi: 10.1016/j.ebiom.2022.104000
pmc: PMC9062752
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
104000Subventions
Organisme : Medical Research Council
ID : G9815508
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_15018
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19009
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00011/5
Pays : United Kingdom
Informations de copyright
Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests MCB has received financial support from Edinburgh Neuroscience Researcher's Fund, Wellcome Trust Institutional Translational Partnership Award Innovation Competition, and Research Adaptation Fund to attend courses and conferences in the past. RMW has received financial support from Alzheimer's Research UK (ARUK) to attend the ARUK annual conference (2021 and 2022). JLM is supported by the UK Medical Research Council Integrative Epidemiology Unit at the University of Bristol. AC is a University of Edinburgh Medical Research Ethics Committee member. JvdD was supported by NWO Large Scale infrastructures, X-Omics (184.034.019). Remaining authors report no conflicts of interest.
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