Music and Genetics.

Gene-environment correlation Gene-environment interaction Genetics Molecular genetic research Music Review Twin research

Journal

Neuroscience and biobehavioral reviews
ISSN: 1873-7528
Titre abrégé: Neurosci Biobehav Rev
Pays: United States
ID NLM: 7806090

Informations de publication

Date de publication:
09 2023
Historique:
received: 11 05 2023
revised: 29 06 2023
accepted: 30 06 2023
medline: 9 8 2023
pubmed: 4 7 2023
entrez: 3 7 2023
Statut: ppublish

Résumé

The first part of this review provides a brief historical background of behavior genetic research and how twin and genotype data can be utilized to study genetic influences on individual differences in human behavior. We then review the field of music genetics, from its emergence to large scale twin studies and the recent, first molecular genetic studies of music-related traits. In the second part of the review, we discuss the wider utility of twin and genotype data beyond estimating heritability and gene-finding. We present four examples of music studies that utilized genetically informative samples to analyze causality and gene-environmental interplay for music skills. Overall, research in the field of music genetics has gained much momentum over the last decade and its findings highlight the importance of studying both environmental and genetic factors and particularly their interplay, paving the way for exciting and fruitful times to come.

Identifiants

pubmed: 37400010
pii: S0149-7634(23)00271-3
doi: 10.1016/j.neubiorev.2023.105302
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105302

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Laura W Wesseldijk (LW)

Department of Neuroscience, Karolinska Institutet, Sweden; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Netherlands; Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany. Electronic address: laura.wesseldijk@ki.se.

Fredrik Ullén (F)

Department of Neuroscience, Karolinska Institutet, Sweden; Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany.

Miriam A Mosing (MA)

Department of Neuroscience, Karolinska Institutet, Sweden; Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany; Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry, and Health Sciences, University of Melbourne, Australia; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden.

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Classifications MeSH