Evidence map›Paper›PMID 25203169›Full record

ArticleTranslational psychiatry2014

Substantial SNP-based heritability estimates for working memory performance.

C Vogler, L Gschwind, D Coynel, V Freytag, A Milnik, T Egli, A Heck, D J-F de Quervain, A Papassotiropoulos

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In one paragraph

Article in Translational psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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, 2 syntheses or guidelines pooled it.

  1. Genes · 2023
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Genome-Wide Association Study of Latent Cognitive Measures in Adolescence: Genetic Overlap With Intelligence and Education.Mind, brain and education : the official journal of the International Mind, Brain, and Education Society · 2019
    Article
  10. Article
  11. Review
  12. The evolution of cognitive mechanisms in response to cultural innovations.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  13. Review
  14. Common genetic variation and schizophrenia polygenic risk influence neurocognitive performance in young adulthood.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2015
    Article
  15. Review
  16. Article
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

9 authors.

C Vogler1] Division of Molecular Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland [2] Psychiatric University Clinics, University of Basel, Basel, Switzerland [3] Transfaculty Research Platform, University of Basel, Basel, Switzerland [4] Department Biozentrum, Life Sciences Training Facility, University of Basel, Basel, Switzerland.
L Gschwind1] Division of Molecular Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland [2] Division of Cognitive Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland.
D CoynelDivision of Cognitive Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland.
V FreytagDivision of Molecular Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland.
A Milnik1] Division of Molecular Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland [2] Psychiatric University Clinics, University of Basel, Basel, Switzerland.
T EgliDivision of Molecular Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland.
A Heck1] Division of Molecular Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland [2] Psychiatric University Clinics, University of Basel, Basel, Switzerland [3] Transfaculty Research Platform, University of Basel, Basel, Switzerland.
D J-F de Quervain1] Psychiatric University Clinics, University of Basel, Basel, Switzerland [2] Transfaculty Research Platform, University of Basel, Basel, Switzerland [3] Division of Cognitive Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland.
A Papassotiropoulos1] Division of Molecular Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland [2] Psychiatric University Clinics, University of Basel, Basel, Switzerland [3] Transfaculty Research Platform, University of Basel, Basel, Switzerland [4] Department Biozentrum, Life Sciences Training Facility, University of Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Working memory (WM) is an important endophenotype in neuropsychiatric research and its use in genetic association studies is thought to be a promising approach to increase our understanding of psychiatric disease. As for any genetically complex trait, demonstration of sufficient heritability within the specific study context is a prerequisite for conducting genetic studies of that trait. Recently developed methods allow estimating trait heritability using sets of common genetic markers from genome-wide association study (GWAS) data in samples of unrelated individuals. Here we present single-nucleotide polymorphism (SNP)-based heritability estimates (h(2)SNP) for a WM phenotype. A Caucasian sample comprising a total of N=2298 healthy and young individuals was subjected to an N-back WM task. We calculated the genetic relationship between all individuals on the basis of genome-wide SNP data and performed restricted maximum likelihood analyses for variance component estimation to derive the h(2)SNP estimates. Heritability estimates for three 2-back derived WM performance measures based on all autosomal chromosomes ranged between 31 and 41%, indicating a substantial SNP-based heritability for WM traits. These results indicate that common genetic factors account for a prominent part of the phenotypic variation in WM performance. Hence, the application of GWAS on WM phenotypes is a valid method to identify the molecular underpinnings of WM.

Indexed as

EndophenotypesGenome-Wide Association StudyAdolescentAdultFemaleHumansMaleMemory, Short-TermNeuropsychological TestsPolymorphism, Single NucleotidePsychometricsReaction TimeYoung Adult

Identifiers

PMID25203169
PMCPMC4203010

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Registered trials

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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.