Integration of polygenic and gut metagenomic risk prediction for common diseases.
Nat Aging
; 4(4): 584-594, 2024 Apr.
Article
en En
| MEDLINE
| ID: mdl-38528230
ABSTRACT
Multiomics has shown promise in noninvasive risk profiling and early detection of various common diseases. In the present study, in a prospective population-based cohort with ~18 years of e-health record follow-up, we investigated the incremental and combined value of genomic and gut metagenomic risk assessment compared with conventional risk factors for predicting incident coronary artery disease (CAD), type 2 diabetes (T2D), Alzheimer disease and prostate cancer. We found that polygenic risk scores (PRSs) improved prediction over conventional risk factors for all diseases. Gut microbiome scores improved predictive capacity over baseline age for CAD, T2D and prostate cancer. Integrated risk models of PRSs, gut microbiome scores and conventional risk factors achieved the highest predictive performance for all diseases studied compared with models based on conventional risk factors alone. The present study demonstrates that integrated PRSs and gut metagenomic risk models improve the predictive value over conventional risk factors for common chronic diseases.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neoplasias de la Próstata
/
Enfermedad de la Arteria Coronaria
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Diabetes Mellitus Tipo 2
Límite:
Humans
/
Male
Idioma:
En
Revista:
Nat Aging
Año:
2024
Tipo del documento:
Article
Pais de publicación:
Estados Unidos