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Gene Variant Frequencies of IDO1 , IDO2 , TDO , and KMO in Substance Use Disorder Cohorts.
- Source :
-
Genes [Genes (Basel)] 2024 Oct 29; Vol. 15 (11). Date of Electronic Publication: 2024 Oct 29. - Publication Year :
- 2024
-
Abstract
- Background: Substance use disorder in the United States represents a complex and growing public health crisis, marked by increasing rates of overdose deaths and the misuse of prescription medications. There is a critical need for furthering the understanding of the molecular and genetic mechanisms that can lead to substance use disorder. Identifying significant variants in the kynurenine pathway could help identify therapeutic targets for intervention.<br />Methods: The All of Us cohort builder evaluated the frequency of variants of four genes, TDO2 , IDO1 , IDO2 , and KMO , encoding enzymes in the kynurenine pathway. The samples were broken into six cohorts: alcohol, cannabis, cocaine, opioid, other use disorder, and control. Using Chi-square analysis, the frequency of at least one copy of a variant allele was calculated.<br />Results: Chi-square analysis showed a significant variation in genetic frequency ( p -value < 0.005) in 14 of 18 polymorphisms analyzed. The cocaine cohort had the most significant variants (13), cannabis had 11, opioids had 3, other use disorders had 2, and alcohol had 1 significant variant.<br />Conclusions: This study found associations of polymorphisms in the TDO2 , IDO1 , IDO2 , and KMO genes of individuals with a substance use disorder. These results provide evidence of potential predictors of increased susceptibility to substance use disorder.
- Subjects :
- Humans
Gene Frequency
Male
Kynurenine 3-Monooxygenase genetics
Female
Cohort Studies
Adult
Genetic Predisposition to Disease
Kynurenine metabolism
Kynurenine genetics
Polymorphism, Single Nucleotide
Indoleamine-Pyrrole 2,3,-Dioxygenase genetics
Substance-Related Disorders genetics
Tryptophan Oxygenase genetics
Subjects
Details
- Language :
- English
- ISSN :
- 2073-4425
- Volume :
- 15
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Genes
- Publication Type :
- Academic Journal
- Accession number :
- 39596587
- Full Text :
- https://doi.org/10.3390/genes15111388