Association of Cognitive Polygenic Index and Cognitive Performance with Age in Cognitively Healthy Adults Article Swipe
Angeliki Tsapanou
,
Margaret Gacheru
,
Seonjoo Lee
,
Niki Mourtzi
,
Yunglin Gazes
,
Christian Habeck
,
Daniel W. Belsky
,
Yaakov Stern
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/genes14091814
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/genes14091814
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, p-value = 0.022), fluid reasoning (Standardized coefficient = −0.146, p-value = 0.020), and vocabulary (Standardized coefficient = −0.191, p-value = 0.001). Higher PGI strengthened the negative relationship between age and the domains of memory and fluid reasoning while PGI weakened the positive relationship between age and vocabulary. Based on the Johnson–Neyman intervals, Cog PGI was significantly associated with domains of memory, reasoning, and vocabulary for younger adults. There is a significant moderation effect of genetic predisposition for cognition for the association between age and cognitive performance. Genetics discovered in genome-wide association studies of cognitive performance show a stronger association in young and midlife older adults.
Related Topics
Concepts
Association (psychology)
Cognition
Index (typography)
Genome-wide association study
Effects of sleep deprivation on cognitive performance
Psychology
Clinical psychology
Biology
Genetics
Psychiatry
Genotype
Single-nucleotide polymorphism
Computer science
Gene
Psychotherapist
World Wide Web
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/genes14091814
- https://www.mdpi.com/2073-4425/14/9/1814/pdf?version=1695018824
- OA Status
- gold
- Cited By
- 1
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386832772
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4386832772Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/genes14091814Digital Object Identifier
- Title
-
Association of Cognitive Polygenic Index and Cognitive Performance with Age in Cognitively Healthy AdultsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-18Full publication date if available
- Authors
-
Angeliki Tsapanou, Margaret Gacheru, Seonjoo Lee, Niki Mourtzi, Yunglin Gazes, Christian Habeck, Daniel W. Belsky, Yaakov SternList of authors in order
- Landing page
-
https://doi.org/10.3390/genes14091814Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-4425/14/9/1814/pdf?version=1695018824Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-4425/14/9/1814/pdf?version=1695018824Direct OA link when available
- Concepts
-
Association (psychology), Cognition, Index (typography), Genome-wide association study, Effects of sleep deprivation on cognitive performance, Psychology, Clinical psychology, Biology, Genetics, Psychiatry, Genotype, Single-nucleotide polymorphism, Computer science, Gene, Psychotherapist, World Wide WebTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- References (count)
-
39Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Networks, | 76 |
| abstract_inverted_index.Polygenic | 12 |
| abstract_inverted_index.Reference | 73 |
| abstract_inverted_index.cognition | 91, 130, 262 |
| abstract_inverted_index.cognitive | 10, 26, 40, 104, 269, 278 |
| abstract_inverted_index.extracted | 106 |
| abstract_inverted_index.genetics, | 61 |
| abstract_inverted_index.intervals | 133 |
| abstract_inverted_index.polygenic | 86 |
| abstract_inverted_index.reasoning | 189, 221 |
| abstract_inverted_index.summarize | 15 |
| abstract_inverted_index.−0.146, | 193 |
| abstract_inverted_index.−0.158, | 184 |
| abstract_inverted_index.−0.191, | 202 |
| abstract_inverted_index.associated | 8, 241 |
| abstract_inverted_index.considered | 154 |
| abstract_inverted_index.controlled | 158 |
| abstract_inverted_index.discovered | 4, 272 |
| abstract_inverted_index.education, | 138 |
| abstract_inverted_index.intervals, | 236 |
| abstract_inverted_index.moderation | 256 |
| abstract_inverted_index.population | 160 |
| abstract_inverted_index.previously | 88 |
| abstract_inverted_index.reasoning, | 112, 246 |
| abstract_inverted_index.thickness, | 144 |
| abstract_inverted_index.vocabulary | 198, 248 |
| abstract_inverted_index.Genome-wide | 0 |
| abstract_inverted_index.assessment, | 63 |
| abstract_inverted_index.association | 1, 173, 265, 275, 283 |
| abstract_inverted_index.coefficient | 182, 191, 200 |
| abstract_inverted_index.cognitively | 51 |
| abstract_inverted_index.covariates. | 155 |
| abstract_inverted_index.discoveries | 17 |
| abstract_inverted_index.evaluation: | 110 |
| abstract_inverted_index.genome-wide | 274 |
| abstract_inverted_index.interaction | 166 |
| abstract_inverted_index.performance | 28, 279 |
| abstract_inverted_index.processing. | 118 |
| abstract_inverted_index.significant | 165, 255 |
| abstract_inverted_index.understood. | 45 |
| abstract_inverted_index.vocabulary, | 114 |
| abstract_inverted_index.vocabulary. | 231 |
| abstract_inverted_index.measurements | 66, 101 |
| abstract_inverted_index.participants | 53 |
| abstract_inverted_index.performance. | 11, 270 |
| abstract_inverted_index.relationship | 97, 123, 211, 227 |
| abstract_inverted_index.strengthened | 208 |
| abstract_inverted_index.(Standardized | 181, 190, 199 |
| abstract_inverted_index.brain-imaging | 65 |
| abstract_inverted_index.interactions. | 136 |
| abstract_inverted_index.significantly | 240 |
| abstract_inverted_index.hyperintensity | 152 |
| abstract_inverted_index.predisposition | 260 |
| abstract_inverted_index.Johnson–Neyman | 132, 235 |
| abstract_inverted_index.neuropsychological | 62, 109 |
| abstract_inverted_index.structure-ancestry. | 161 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5032025339 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I78577930 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.7699999809265137 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.60712373 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |