| Title |
Age modulates the effect of COMT genotype on delay discounting behavior
|
|---|---|
| Published in |
Psychopharmacology, February 2012
|
| DOI | 10.1007/s00213-012-2653-9 |
| Pubmed ID | |
| Authors |
Christopher T. Smith, Charlotte A. Boettiger |
| Abstract |
A form of impulsivity, the tendency to choose immediate over delayed rewards (delay-discounting) has been associated with a single nucleotide polymorphism (SNP) in the catechol-O-methyltransferase (COMT) gene (COMTval¹⁵⁸met; rs4680). However, the existing data regarding the nature of this association are in conflict. We have previously reported that adults homozygous for valine (val) at the COMTval¹⁵⁸met SNP demonstrate greater delay-discounting than do methionine (met) allele carriers (Boettiger et al., J Neurosci 27:14383-14391, 2007). In contrast, a recent study of adolescent males found that those with the met/met genotype demonstrate greater delay-discounting than do val-allele carriers (Paloyelis et al., Neuropsychopharmacology 35:2414-2426, 2010). Based on reported age-related changes in frontal dopamine function and COMT expression, we hypothesized that the association of COMT genotype with delay-discounting behavior is modulated by age from late adolescence to young adulthood. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 55 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 23% |
| Student > Ph. D. Student | 12 | 21% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 6 | 11% |
| Professor > Associate Professor | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 37% |
| Medicine and Dentistry | 11 | 19% |
| Neuroscience | 8 | 14% |
| Agricultural and Biological Sciences | 2 | 4% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 March 2018.
All research outputs
#12,585,591
of 22,711,242 outputs
Outputs from Psychopharmacology
#3,812
of 5,335 outputs
Outputs of similar age
#83,679
of 155,858 outputs
Outputs of similar age from Psychopharmacology
#18
of 27 outputs
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