Predicting Complex Traits and Exposures From Polygenic Scores and Blood and Buccal DNA Methylation Profiles.
BMI
DNA methylation
birth weight
maternal smoking
methylation scores
multi-omics prediction
polygenic scores
smoking
Journal
Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006
Informations de publication
Date de publication:
2021
2021
Historique:
received:
30
03
2021
accepted:
15
06
2021
entrez:
16
8
2021
pubmed:
17
8
2021
medline:
17
8
2021
Statut:
epublish
Résumé
We examined the performance of methylation scores (MS) and polygenic scores (PGS) for birth weight, BMI, prenatal maternal smoking exposure, and smoking status to assess the extent to which MS could predict these traits and exposures over and above the PGS in a multi-omics prediction model. MS may be seen as the epigenetic equivalent of PGS, but because of their dynamic nature and sensitivity of non-genetic exposures may add to complex trait prediction independently of PGS. MS and PGS were calculated based on genotype data and DNA-methylation data in blood samples from adults (Illumina 450 K;
Identifiants
pubmed: 34393852
doi: 10.3389/fpsyt.2021.688464
pmc: PMC8357987
doi:
Types de publication
Journal Article
Langues
eng
Pagination
688464Informations de copyright
Copyright © 2021 Odintsova, Rebattu, Hagenbeek, Pool, Beck, Ehli, van Beijsterveldt, Ligthart, Willemsen, de Geus, Hottenga, Boomsma and van Dongen.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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