Evidence map›Paper›PMID 33954905›Full record

ArticleMolecular neurobiology2021

Polygenic Scores for Cognitive Abilities and Their Association with Different Aspects of General Intelligence-A Deep Phenotyping Approach.

Erhan Genç, Caroline Schlüter, Christoph Fraenz, Larissa Arning, Dorothea Metzen, Huu Phuc Nguyen, Manuel C Voelkle, Fabian Streit, Onur Güntürkün, Robert Kumsta and 1 more

Abstract read
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In one paragraph

Article in Molecular neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Erhan GençDepartment of Psychology and Neurosciences, Neuroimaging and Interindividual Differences, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Dortmund, Germany. genc@ifado.de.ORCID http://orcid.org/0000-0001-6514-5479
Caroline SchlüterDepartment of Biopsychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, Bochum, Germany.
Christoph FraenzDepartment of Psychology and Neurosciences, Neuroimaging and Interindividual Differences, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Dortmund, Germany.
Larissa ArningDepartment of Human Genetics, Ruhr University Bochum, Bochum, Germany.
Dorothea MetzenDepartment of Biopsychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, Bochum, Germany.
Huu Phuc NguyenDepartment of Human Genetics, Ruhr University Bochum, Bochum, Germany.
Manuel C VoelkleDepartment of Psychological Research Methods, Institute of Psychology, Humboldt University Berlin, Berlin, Germany.
Fabian StreitDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Onur GüntürkünDepartment of Biopsychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, Bochum, Germany.
Robert KumstaDepartment of Genetic Psychology, Ruhr University Bochum, Bochum, Germany.
Sebastian OcklenburgDepartment of Biopsychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, Bochum, Germany.

Funding

Bundesministerium für Bildung und Forschung 01EW1810Deutsche Forschungsgemeinschaft 316803389Deutsche Forschungsgemeinschaft GE 2777/2-1Deutsche Forschungsgemeinschaft GU 227/16-1
6 · The paper itself

Abstract

Intelligence is a highly polygenic trait and genome-wide association studies (GWAS) have identified thousands of DNA variants contributing with small effects. Polygenic scores (PGS) can aggregate those effects for trait prediction in independent samples. As large-scale light-phenotyping GWAS operationalized intelligence as performance in rather superficial tests, the question arises which intelligence facets are actually captured. We used deep-phenotyping to investigate the molecular determinants of individual differences in cognitive ability. We, therefore, studied the association between PGS of intelligence (IQ-PGS), cognitive performance (CP-PGS), and educational attainment (EA-PGS) with a wide range of intelligence facets in a sample of 557 healthy adults. IQ-PGS, CP-PGS, and EA-PGS had the highest incremental R

Indexed as

Mental Status and Dementia TestsPhenotypeAdolescentAdultAgedCognitionFemaleGenome-Wide Association StudyHumansIntelligenceMaleMiddle AgedMultifactorial InheritanceYoung AdultCognitive abilitiesCognitive performanceDeep-phenotypingEducational attainmentIntelligencePolygenic scores

Identifiers

PMID33954905
PMCPMC8280022

What OpenQuestion holds

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LicenceCC BY
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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.