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Substantial SNP-based heritability estimates for working memory performance.

C Vogler1, L Gschwind2, D Coynel3

  • 11] 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.

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Summary
This summary is machine-generated.

Working memory (WM) has substantial genetic heritability, estimated between 31-41% using SNP data. This supports using genome-wide association studies (GWAS) to uncover genetic factors influencing WM performance.

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Area of Science:

  • Neuroscience
  • Psychiatric Genetics
  • Human Genetics

Background:

  • Working memory (WM) is a key endophenotype in neuropsychiatric research.
  • Understanding the genetic basis of WM is crucial for advancing psychiatric disease research.
  • Genome-wide association studies (GWAS) require traits with significant heritability.

Purpose of the Study:

  • To estimate the single-nucleotide polymorphism (SNP)-based heritability (h(2)SNP) of a working memory (WM) phenotype.
  • To determine if WM traits are sufficiently heritable for genetic association studies.

Main Methods:

  • Utilized a Caucasian sample of 2298 healthy young individuals performing an N-back WM task.
  • Calculated genetic relationships between individuals using genome-wide SNP data.
  • Applied restricted maximum likelihood (REML) analyses for variance component estimation to derive h(2)SNP.

Main Results:

  • SNP-based heritability estimates (h(2)SNP) for WM performance measures ranged from 31% to 41%.
  • These estimates were derived from autosomal chromosomes for three 2-back task metrics.
  • Results indicate substantial heritability for WM traits.

Conclusions:

  • Common genetic factors significantly contribute to the phenotypic variation observed in WM performance.
  • The substantial heritability of WM validates the use of GWAS for identifying its molecular underpinnings.
  • This study provides a strong foundation for future genetic investigations into WM.