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Family-Based Association Analysis of Serotonin Genes in Pathological Gambling Disorder: Evidence of Vulnerability Risk in the 5HT-2A Receptor Gene

Overview of attention for article published in Journal of Molecular Neuroscience, June 2012
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Title
Family-Based Association Analysis of Serotonin Genes in Pathological Gambling Disorder: Evidence of Vulnerability Risk in the 5HT-2A Receptor Gene
Published in
Journal of Molecular Neuroscience, June 2012
DOI 10.1007/s12031-012-9846-x
Pubmed ID
Authors

David Wilson, Daniela Sabbatini da Silva Lobo, Hermano Tavares, Valentim Gentil, Homero Vallada

Abstract

Pathological gambling (PG) has become a growing public health problem in many countries around the world. PG is an impulse control disorder and its behavior and psychopathology present similarities with substance abuse disorders. Evidence from twin studies supports a significant genetic predisposition to PG, but the precise genetic loci still remain unclear. The present study investigates the allele and genotype distribution of polymorphisms of the serotonin transporter, serotonin receptor 1B and 2A genes in 140 sib-pairs discordant for the diagnosis of PG. A significant association of the C/C genotype of the serotonin receptor 2A T102C (rs 6313) polymorphism and the PG phenotype was observed [OR = 1.7 (1.1-3.4)]. This preliminary result is consistent with the hypothesis that the serotonin system is associated with addiction behavior and similar results have been reported for nicotine and alcohol dependence.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 4%
Spain 1 2%
United States 1 2%
Brazil 1 2%
Unknown 42 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Researcher 5 11%
Student > Master 5 11%
Student > Bachelor 5 11%
Other 4 9%
Other 11 23%
Unknown 9 19%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Psychology 11 23%
Agricultural and Biological Sciences 7 15%
Computer Science 2 4%
Social Sciences 2 4%
Other 2 4%
Unknown 11 23%
Attention Score in Context

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 27 February 2013.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Journal of Molecular Neuroscience
#972
of 1,643 outputs
Outputs of similar age
#116,784
of 177,597 outputs
Outputs of similar age from Journal of Molecular Neuroscience
#16
of 25 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,643 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.