| Title |
Personality as an intermediate phenotype for genetic dissection of alcohol use disorder
|
|---|---|
| Published in |
Journal of Neural Transmission, January 2017
|
| DOI | 10.1007/s00702-016-1672-9 |
| Pubmed ID | |
| Authors |
Lars Oreland, Gianvito Lagravinese, Simone Toffoletto, Kent W. Nilsson, Jaanus Harro, C. Robert Cloninger, Erika Comasco |
| Abstract |
Genetic and environmental interactive influences on predisposition to develop alcohol use disorder (AUD) account for the high heterogeneity among AUD patients and make research on the risk and resiliency factors complicated. Several attempts have been made to identify the genetic basis of AUD; however, only few genetic polymorphisms have consistently been associated with AUD. Intermediate phenotypes are expected to be in-between proxies of basic neuronal biological processes and nosological symptoms of AUD. Personality is likely to be a top candidate intermediate phenotype for the dissection of the genetic underpinnings of different subtypes of AUD. To date, 38 studies have investigated personality traits, commonly assessed by the Cloninger's Tridimensional Personality Questionnaire (TPQ) or Temperament and Character Inventory (TCI), in relation to polymorphisms of candidate genes of neurotransmitter systems in alcohol-dependent patients. Particular attention has been given to the functional polymorphism of the serotonin transporter gene (5-HTTLPR), however, leading to contradictory results, whereas results with polymorphisms in other candidate monoaminergic genes (e.g., tryptophan hydroxylase, serotonin receptors, monoamine oxidases, dopamine receptors and transporter) are sparse. Only one genome-wide association study has been performed so far and identified the ABLIM1 gene of relevance for novelty seeking, harm avoidance and reward dependence in alcohol-dependent patients. Studies investigating genetic factors together with personality could help to define more homogenous subgroups of AUD patients and facilitate treatment strategies. This review also urges the scientific community to combine genetic data with psychobiological and environmental data to further dissect the link between personality and AUD. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Unknown | 89 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Student > Master | 13 | 14% |
| Student > Postgraduate | 8 | 9% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 7 | 8% |
| Other | 18 | 20% |
| Unknown | 22 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 28% |
| Medicine and Dentistry | 13 | 14% |
| Neuroscience | 11 | 12% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Social Sciences | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 26 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 January 2017.
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#17,849,965
of 22,925,760 outputs
Outputs from Journal of Neural Transmission
#1,362
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Outputs of similar age
#293,969
of 421,125 outputs
Outputs of similar age from Journal of Neural Transmission
#21
of 32 outputs
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