Personality traits and polymorphisms of genes coding neurotransmitter receptors or transporters: review of single gene and genome-wide association studies

Szymon Zmorzyński, Wojciech Styk, Waldemar Klinkosz, Justyna Iskra, Agata Anna Filip
2021 Annals of General Psychiatry  
Background The most popular tool used for measuring personality traits is the Five-Factor Model (FFM). It includes neuroticism, extraversion, openness, agreeableness and conscientiousness. Many studies indicated the association of genes encoding neurotransmitter receptors/transporters with personality traits. The relationship connecting polymorphic DNA sequences and FFM features has been described in the case of genes encoding receptors of cannabinoid and dopaminergic systems. Moreover,
more » ... rgic system receives inputs from other neurotransmitters, like GABAergic or serotoninergic systems. Methods We searched PubMed Central (PMC), Science Direct, Scopus, Cochrane Library, Web of Science and EBSCO databases from their inception to November 19, 2020, to identify original studies, as well as peer-reviewed studies examining the FFM and its association with gene polymorphisms affecting the neurotransmitter functions in central nervous system. Results Serotonin neurons modulate dopamine function. In gene encoding serotonin transporter protein, SLC6A4, was found polymorphism, which was correlated with openness to experience (in Sweden population), and high scores of neuroticism and low levels of agreeableness (in Caucasian population). The genome-wide association studies (GWASs) found an association of 5q34-q35, 3p24, 3q13 regions with higher scores of neuroticism, extraversion and agreeableness. However, the results for chromosome 3 regions are inconsistent, which was shown in our review paper. Conclusions GWASs on polymorphisms are being continued in order to determine and further understand the relationship between the changes in DNA and personality traits.
doi:10.1186/s12991-021-00328-4 pmid:33482861 pmcid:PMC7825153 fatcat:cpimwkkutveotkwkjrmmjvxuqq