Evidence map›Paper›PMID 37761954›Full record

ArticleGenes2023

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

Angeliki Tsapanou, Margaret Gacheru, Seonjoo Lee, Niki Mourtzi, Yunglin Gazes, Christian Habeck, Daniel W Belsky, Yaakov Stern

Abstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Angeliki TsapanouDepartment of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.ORCID 0000-0003-0471-5786
Margaret GacheruDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
Seonjoo LeeDepartment of Psychiatry, Columbia University Irving Medical Center, New York, NY 10032, USA.
Niki MourtziDepartment of Neurology, National and Kapodistrian University of Athens, 10679 Athens, Greece.
Yunglin GazesDepartment of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Christian HabeckDepartment of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Daniel W BelskyDepartment of Epidemiology and Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
Yaakov SternDepartment of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.ORCID 0000-0001-7542-3241

Funding

Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Christiane Reitz · 2020 to 2026
$30.1M
Exploring Cognitive Aging Using Reference Ability Neural NetworksR01AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2011 to 2025
$17.0M
Imaging of Cognition, Learning and Memory in AgingR01AG026158 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STERN, YAAKOV · 2004 to 2021
$10.9M
Statistical method for neural mechanism mediating and moderating cognitive system in Alzheimer's disease and aging research.R01AG062578 · NIA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI LEE, SEONJOO · 2020 to 2024
$2.1M
Longitudinal changes in white matter integrity predicting cognitive changes in reasoning and vocabulary abilitiesK01AG051777 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GAZES, YUNGLIN · 2016 to 2020
$623k
Sleep duration Polygenic Risk Score: Association with cognition and brain measuresK99AG071930 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TSAPANOU, ANGELIKI · 2022 to 2023
$261k
NIA NIH HHS K01 AG051777NIA NIH HHS K99 AG071930NIA NIH HHS P30 AG066462NIA NIH HHS R01 AG026158NIA NIH HHS R01 AG038465NIA NIH HHS R01 AG062578
6 · The paper itself

Abstract

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,

Indexed as

AgingGenome-Wide Association StudyAdultAgedBrainCognitionHumansMiddle AgedMultifactorial InheritanceYoung Adultcognitionnormal agingpolygenic index

Identifiers

PMID37761954
PMCPMC10531331

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.