Association of DRD2 and BDNF Genetic Polymorphisms with Exercise Addiction

Exercise addiction is described in the literature as a compulsive behavior associated with adverse health symptoms. Currently, knowledge about the biological and social factors that trigger the development of this behavior is still lacking, and there are no published studies on genetic variants associated with the disorder. Because of this, we genotyped specific polymorphisms in the genes <i>DRD1</i> (rs265981), <i>DRD2</i> (rs1800497), <i>BDNF</i> (rs6265), <i>HFE</i> (rs1799945), <i>ACTN3</i> (rs1815739), <i>PPARA</i> (rs4253778), <i>PPARGC1A</i> (rs8192678), and <i>AMPD1</i> (rs17602729) to investigate whether they were associated with exercise addiction. In total, 469 men and women, comprising athletes and non-athletes between the ages of 18 and 50, were enrolled in the study. Each participant provided an oral swab sample for genetic analysis and completed the Negative Addiction Scale questionnaire that tests for physical exercise addiction. For the <i>DRD2</i> polymorphism, there was a significant association of the <i>GG</i> genotype with asymptomatic participants and of the <i>AA</i> genotype with participants symptomatic for exercise addiction. Additionally, for the <i>BDNF</i> polymorphism, the <i>CC</i> genotype was associated with symptomatic participants, and the <i>T</i> allele was associated with asymptomatic individuals. However, all associations were found by evaluating the SNP individually, and this demonstrates the difficulty in studying variables related to behavioral phenotypes.

Authors

Institutions

Publication Details

Journal
International Journal of Environmental Research and Public Health
Published
2025-08-29
DOI
https://doi.org/10.3390/ijerph22091356
Primary Topic
Genetics and Physical Performance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of DRD2 and BDNF Genetic Polymorphisms with Exercise Addiction

Izadora Moreira da Silva, Caleb Guedes Miranda dos Santos, Marcos Caroli Rezende, Vitor Caputo Neto et al.
International Journal of Environmental Research and Public Health
Genetics and Physical Performance
article

Association of DRD2 and BDNF Genetic Polymorphisms with Exercise Addiction

Izadora Moreira da Silva, Caleb Guedes Miranda dos Santos, Marcos Caroli Rezende, Vitor Caputo Neto, Alexandre Palma
article en

Abstract

Exercise addiction is described in the literature as a compulsive behavior associated with adverse health symptoms. Currently, knowledge about the biological and social factors that trigger the development of this behavior is still lacking, and there are no published studies on genetic variants associated with the disorder. Because of this, we genotyped specific polymorphisms in the genes <i>DRD1</i> (rs265981), <i>DRD2</i> (rs1800497), <i>BDNF</i> (rs6265), <i>HFE</i> (rs1799945), <i>ACTN3</i> (rs1815739), <i>PPARA</i> (rs4253778), <i>PPARGC1A</i> (rs8192678), and <i>AMPD1</i> (rs17602729) to investigate whether they were associated with exercise addiction. In total, 469 men and women, comprising athletes and non-athletes between the ages of 18 and 50, were enrolled in the study. Each participant provided an oral swab sample for genetic analysis and completed the Negative Addiction Scale questionnaire that tests for physical exercise addiction. For the <i>DRD2</i> polymorphism, there was a significant association of the <i>GG</i> genotype with asymptomatic participants and of the <i>AA</i> genotype with participants symptomatic for exercise addiction. Additionally, for the <i>BDNF</i> polymorphism, the <i>CC</i> genotype was associated with symptomatic participants, and the <i>T</i> allele was associated with asymptomatic individuals. However, all associations were found by evaluating the SNP individually, and this demonstrates the difficulty in studying variables related to behavioral phenotypes.

International Journal of Environmental Research and Public HealthVol. 22(9)
Universidade Federal do Rio de Janeiro (BR), Instituto de Biologia do Exército (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 75%
Genetics and Physical Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.