Development and validation of DNA methylation scores in two European cohorts augment 10-year risk prediction of type 2 diabetes.
Journal
Nature aging
ISSN: 2662-8465
Titre abrégé: Nat Aging
Pays: United States
ID NLM: 101773306
Informations de publication
Date de publication:
04 2023
04 2023
Historique:
received:
19
11
2021
accepted:
27
02
2023
medline:
1
5
2023
pubmed:
29
4
2023
entrez:
28
4
2023
Statut:
ppublish
Résumé
Type 2 diabetes mellitus (T2D) presents a major health and economic burden that could be alleviated with improved early prediction and intervention. While standard risk factors have shown good predictive performance, we show that the use of blood-based DNA methylation information leads to a significant improvement in the prediction of 10-year T2D incidence risk. Previous studies have been largely constrained by linear assumptions, the use of cytosine-guanine pairs one-at-a-time and binary outcomes. We present a flexible approach (via an R package, MethylPipeR) based on a range of linear and tree-ensemble models that incorporate time-to-event data for prediction. Using the Generation Scotland cohort (training set n
Identifiants
pubmed: 37117793
doi: 10.1038/s43587-023-00391-4
pii: 10.1038/s43587-023-00391-4
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
450-458Subventions
Organisme : Wellcome Trust
ID : 104036/Z/14/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 108890/Z/15/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 216767/Z/19/Z
Pays : United Kingdom
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Nature America, Inc.
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