Evidence map›Paper›PMID 30279457›Full record

ArticleMolecular psychiatry2020

Uncovering the complex genetics of human temperament.

Igor Zwir, Javier Arnedo, Coral Del-Val, Laura Pulkki-Råback, Bettina Konte, Sarah S Yang, Rocio Romero-Zaliz, Mirka Hintsanen, Kevin M Cloninger, Danilo Garcia and 17 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
9.2field-weighted citation impact, top 2% of its field
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

45 citing papers in PubMed, 116 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 13 institutions in 6 countries.

Igor ZwirDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-1443-0234
Javier ArnedoDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-0380-5248
Coral Del-ValDepartment of Computer Science, University of Granada, Granada, Spain.
Laura Pulkki-RåbackDepartment of Psychology and Logopedics, University of Helsinki, Helsinki, Finland.
Bettina KonteDepartment of Psychiatry, Martin-Luther-University Halle-Wittenberg, Halle, Germany.ORCID http://orcid.org/0000-0001-5287-308X
Sarah S YangDepartment of Epidemiology, School of Public Health, Institute of Health and Environment, Seoul National University, Seoul, Korea.
Rocio Romero-ZalizDepartment of Computer Science, University of Granada, Granada, Spain.
Mirka HintsanenUnit of Psychology, Faculty of Education, University of Oulu, Oulu, Finland.
Kevin M CloningerAnthropedia Foundation, St. Louis, MO, USA.
Danilo GarciaDepartment of Psychology, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-3356-4454
Dragan M SvrakicDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Sandor RozsaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Maribel MartinezDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Leo-Pekka LyytikäinenFimlab Laboratories, Department of Clinical Chemistry, Faculty of Medicine and Life Sciences, Finnish Cardiovascular Research Center-Tampere, University of Tampere, Tampere, Finland.ORCID http://orcid.org/0000-0002-7200-5455
Ina GieglingDepartment of Psychiatry, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Mika KähönenDepartment of Clinical Physiology, Faculty of Medicine and Life Sciences, Tampere University Hospital, University of Tampere, Tampere, Finland.
Helena Hernandez-CuervoDepartment of Psychiatry and Neurosurgery, University of South Florida, Tampa, FL, USA.
Ilkka SeppäläFimlab Laboratories, Department of Clinical Chemistry, Faculty of Medicine and Life Sciences, Finnish Cardiovascular Research Center-Tampere, University of Tampere, Tampere, Finland.ORCID http://orcid.org/0000-0002-5595-2573
Emma RaitoharjuFimlab Laboratories, Department of Clinical Chemistry, Faculty of Medicine and Life Sciences, Finnish Cardiovascular Research Center-Tampere, University of Tampere, Tampere, Finland.
Gabriel A de ErausquinDepartment of Psychiatry and Neurology, Institute of Neurosciences, University of Texas Rio-Grande Valley School of Medicine, Harlingen, TX, USA.
Olli RaitakariDepartment of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.
Dan RujescuDepartment of Psychiatry, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Teodor T PostolacheDepartment of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.
Joohon SungDepartment of Epidemiology, School of Public Health, Institute of Health and Environment, Seoul National University, Seoul, Korea.
Liisa Keltikangas-JärvinenDepartment of Psychology and Logopedics, University of Helsinki, Helsinki, Finland.
Terho LehtimäkiFimlab Laboratories, Department of Clinical Chemistry, Faculty of Medicine and Life Sciences, Finnish Cardiovascular Research Center-Tampere, University of Tampere, Tampere, Finland.
C Robert CloningerDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA. crcloninger44@gmail.com.ORCID http://orcid.org/0000-0003-3096-4807
Tampere University · FIUniversidad de Granada · ESWashington University in St. Louis · USMartin Luther University Halle-Wittenberg · DESeoul National University · KRUniversity of Helsinki · FIRegion Blekinge · SETampere University Hospital · FIThe University of Texas Rio Grande Valley · USTurku University Hospital · FIUniversity of Maryland, Baltimore · USUniversity of Oulu · FIUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Genome-Wide Association StudyTemperamentAdolescentAdultAgedAged, 80 and overAnimalsChildChild, PreschoolFinlandGenotypeGermanyHumansMiddle AgedPolymorphism, Single NucleotideRepublic of Korea

Identifiers

PMID30279457
PMCPMC7515831
OpenAlexW2895118030

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.