Association of Cognitive Polygenic Index and Cognitive Performance with Age in Cognitively Healthy Adults.


Journal

Genes
ISSN: 2073-4425
Titre abrégé: Genes (Basel)
Pays: Switzerland
ID NLM: 101551097

Informations de publication

Date de publication:
18 09 2023
Historique:
received: 01 08 2023
revised: 08 09 2023
accepted: 14 09 2023
medline: 23 10 2023
pubmed: 28 9 2023
entrez: 28 9 2023
Statut: epublish

Résumé

Genome-wide association studies have discovered common genetic variants associated with cognitive performance. Polygenic scores that summarize these discoveries explain up to 10% of the variance in cognitive test performance in samples of adults. However, the role these genetics play in cognitive aging is not well understood. We analyzed data from 168 cognitively healthy participants aged 23-77 years old, with data on genetics, neuropsychological assessment, and brain-imaging measurements from two large ongoing studies, the Reference Abilities Neural Networks, and the Cognitive Reserve study. We tested whether a polygenic index previously related to cognition (Cog PGI) would moderate the relationship between age and measurements of the cognitive domains extracted from a neuropsychological evaluation: fluid reasoning, memory, vocabulary, and speed of processing. We further explored the relationship of Cog PGI and age on cognition using Johnson-Neyman intervals for two-way interactions. Sex, education, and brain measures of cortical thickness, total gray matter volume, and white matter hyperintensity were considered covariates. The analysis controlled for population structure-ancestry. There was a significant interaction effect of Cog PGI on the association between age and the domains of memory (Standardized coefficient = -0.158,

Identifiants

pubmed: 37761954
pii: genes14091814
doi: 10.3390/genes14091814
pmc: PMC10531331
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIA NIH HHS
ID : K99 AG071930
Pays : United States
Organisme : NIA NIH HHS
ID : K01 AG051777
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG026158
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG038465
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG062578
Pays : United States

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Auteurs

Angeliki Tsapanou (A)

Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.

Margaret Gacheru (M)

Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY 10032, USA.

Seonjoo Lee (S)

Department of Psychiatry, Columbia University Irving Medical Center, New York, NY 10032, USA.

Niki Mourtzi (N)

Department of Neurology, National and Kapodistrian University of Athens, 10679 Athens, Greece.

Yunglin Gazes (Y)

Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.

Christian Habeck (C)

Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.

Daniel W Belsky (DW)

Department of Epidemiology and Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY 10032, USA.

Yaakov Stern (Y)

Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.

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Classifications MeSH