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Uncovering the complex genetics of human temperament
Experimental studies of learning suggest that human temperament may depend on the molecular mechanisms for associative conditioning, which are highly conserved in animals. The main genetic pathways for associative conditioning are known in experimental animals, but have not been identified in prior...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515831/ https://www.ncbi.nlm.nih.gov/pubmed/30279457 http://dx.doi.org/10.1038/s41380-018-0264-5 |
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author | Zwir, Igor Arnedo, Javier Del-Val, Coral Pulkki-Råback, Laura Konte, Bettina Yang, Sarah S. Romero-Zaliz, Rocio Hintsanen, Mirka Cloninger, Kevin M. Garcia, Danilo Svrakic, Dragan M. Rozsa, Sandor Martinez, Maribel Lyytikäinen, Leo-Pekka Giegling, Ina Kähönen, Mika Hernandez-Cuervo, Helena Seppälä, Ilkka Raitoharju, Emma de Erausquin, Gabriel A. Raitakari, Olli Rujescu, Dan Postolache, Teodor T. Sung, Joohon Keltikangas-Järvinen, Liisa Lehtimäki, Terho Cloninger, C. Robert |
author_facet | Zwir, Igor Arnedo, Javier Del-Val, Coral Pulkki-Råback, Laura Konte, Bettina Yang, Sarah S. Romero-Zaliz, Rocio Hintsanen, Mirka Cloninger, Kevin M. Garcia, Danilo Svrakic, Dragan M. Rozsa, Sandor Martinez, Maribel Lyytikäinen, Leo-Pekka Giegling, Ina Kähönen, Mika Hernandez-Cuervo, Helena Seppälä, Ilkka Raitoharju, Emma de Erausquin, Gabriel A. Raitakari, Olli Rujescu, Dan Postolache, Teodor T. Sung, Joohon Keltikangas-Järvinen, Liisa Lehtimäki, Terho Cloninger, C. Robert |
author_sort | Zwir, Igor |
collection | PubMed |
description | Experimental studies of learning suggest that human temperament may depend on the molecular mechanisms for associative conditioning, which are highly conserved in animals. The main genetic pathways for associative conditioning are known in experimental animals, but have not been identified in prior genome-wide association studies (GWAS) of human temperament. We used a data-driven machine learning method for GWAS to uncover the complex genotypic–phenotypic networks and environmental interactions related to human temperament. In a discovery sample of 2149 healthy Finns, we identified sets of single-nucleotide polymorphisms (SNPs) that cluster within particular individuals (i.e., SNP sets) regardless of phenotype. Second, we identified 3 clusters of people with distinct temperament profiles measured by the Temperament and Character Inventory regardless of genotype. Third, we found 51 SNP sets that identified 736 gene loci and were significantly associated with temperament. The identified genes were enriched in pathways activated by associative conditioning in animals, including the ERK, PI3K, and PKC pathways. 74% of the identified genes were unique to a specific temperament profile. Environmental influences measured in childhood and adulthood had small but significant effects. We confirmed the replicability of the 51 Finnish SNP sets in healthy Korean (90%) and German samples (89%), as well as their associations with temperament. The identified SNPs explained nearly all the heritability expected in each sample (37–53%) despite variable cultures and environments. We conclude that human temperament is strongly influenced by more than 700 genes that modulate associative conditioning by molecular processes for synaptic plasticity and long-term memory. |
format | Online Article Text |
id | pubmed-7515831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75158312020-10-07 Uncovering the complex genetics of human temperament Zwir, Igor Arnedo, Javier Del-Val, Coral Pulkki-Råback, Laura Konte, Bettina Yang, Sarah S. Romero-Zaliz, Rocio Hintsanen, Mirka Cloninger, Kevin M. Garcia, Danilo Svrakic, Dragan M. Rozsa, Sandor Martinez, Maribel Lyytikäinen, Leo-Pekka Giegling, Ina Kähönen, Mika Hernandez-Cuervo, Helena Seppälä, Ilkka Raitoharju, Emma de Erausquin, Gabriel A. Raitakari, Olli Rujescu, Dan Postolache, Teodor T. Sung, Joohon Keltikangas-Järvinen, Liisa Lehtimäki, Terho Cloninger, C. Robert Mol Psychiatry Article Experimental studies of learning suggest that human temperament may depend on the molecular mechanisms for associative conditioning, which are highly conserved in animals. The main genetic pathways for associative conditioning are known in experimental animals, but have not been identified in prior genome-wide association studies (GWAS) of human temperament. We used a data-driven machine learning method for GWAS to uncover the complex genotypic–phenotypic networks and environmental interactions related to human temperament. In a discovery sample of 2149 healthy Finns, we identified sets of single-nucleotide polymorphisms (SNPs) that cluster within particular individuals (i.e., SNP sets) regardless of phenotype. Second, we identified 3 clusters of people with distinct temperament profiles measured by the Temperament and Character Inventory regardless of genotype. Third, we found 51 SNP sets that identified 736 gene loci and were significantly associated with temperament. The identified genes were enriched in pathways activated by associative conditioning in animals, including the ERK, PI3K, and PKC pathways. 74% of the identified genes were unique to a specific temperament profile. Environmental influences measured in childhood and adulthood had small but significant effects. We confirmed the replicability of the 51 Finnish SNP sets in healthy Korean (90%) and German samples (89%), as well as their associations with temperament. The identified SNPs explained nearly all the heritability expected in each sample (37–53%) despite variable cultures and environments. We conclude that human temperament is strongly influenced by more than 700 genes that modulate associative conditioning by molecular processes for synaptic plasticity and long-term memory. Nature Publishing Group UK 2018-10-02 2020 /pmc/articles/PMC7515831/ /pubmed/30279457 http://dx.doi.org/10.1038/s41380-018-0264-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zwir, Igor Arnedo, Javier Del-Val, Coral Pulkki-Råback, Laura Konte, Bettina Yang, Sarah S. Romero-Zaliz, Rocio Hintsanen, Mirka Cloninger, Kevin M. Garcia, Danilo Svrakic, Dragan M. Rozsa, Sandor Martinez, Maribel Lyytikäinen, Leo-Pekka Giegling, Ina Kähönen, Mika Hernandez-Cuervo, Helena Seppälä, Ilkka Raitoharju, Emma de Erausquin, Gabriel A. Raitakari, Olli Rujescu, Dan Postolache, Teodor T. Sung, Joohon Keltikangas-Järvinen, Liisa Lehtimäki, Terho Cloninger, C. Robert Uncovering the complex genetics of human temperament |
title | Uncovering the complex genetics of human temperament |
title_full | Uncovering the complex genetics of human temperament |
title_fullStr | Uncovering the complex genetics of human temperament |
title_full_unstemmed | Uncovering the complex genetics of human temperament |
title_short | Uncovering the complex genetics of human temperament |
title_sort | uncovering the complex genetics of human temperament |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515831/ https://www.ncbi.nlm.nih.gov/pubmed/30279457 http://dx.doi.org/10.1038/s41380-018-0264-5 |
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