Evidence map›Paper›PMID 33402148›Full record

ArticleBMC psychiatry2021

Genetic susceptibility of opioid receptor genes polymorphism to drug addiction: A candidate-gene association study.

Laith N Al-Eitan, Doaa M Rababa'h, Mansour A Alghamdi

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 40 citations in OpenAlex.

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  8. SNP analysis of stress-related genes reveals significant correlations with drug addiction in Jordan.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Laith N Al-EitanDepartment of Applied Biological Sciences, Jordan University of Science and Technology, Irbid, 22110, Jordan. lneitan@just.edu.jo.
Doaa M Rababa'hDepartment of Applied Biological Sciences, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Mansour A AlghamdiDepartment of Anatomy, College of Medicine, King Khalid University, Abha, 61421, Saudi Arabia.
Jordan University of Science and Technology · JOKing Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLike other complex diseases including drug addiction, genetic factors can interfere with the disease. In this study, three opioid genes (OPRM1, OPRD1, and OPRK1) were examined for an association with drug addiction among Jordanian males.

methodsThe study involved 498 addicts, in addition to 496 healthy controls and all from Arab descent.

resultsThe findings in this study showed that rs1799971 of the OPRM1 gene was in association with drug addiction for both alleles and genotypes with P-values = 0.002 and 0.01, respectively. In addition, a significant association between the dominant model (A/A vs G/A-G/G) of rs1799971 (OPRM1) and drug addiction (P-value = 0.003, OR = 1.59 (1.17-2.15)) was detected. Moreover, a genetic haplotype (AGGGCGACCCC) of theOPRM1 gene revealed a significant association with drug addiction (P-value = 0.01, OR = 1.56 (1.15-2.12)). We also found that the age of addicts, smoking, and marital status with genetic variants within OPRM1, OPRD1, and OPRK1 genes may be implicated in drug addiction risk.

conclusionWe propose that rs1799971 of the OPRM1gene is a genetic risk factor for drug addiction among Jordanian males.

Indexed as

Genetic Predisposition to DiseaseSubstance-Related DisordersGenotypeHumansMalePolymorphism, Single NucleotideReceptors, OpioidReceptors, Opioid, muReceptors, OpioidReceptors, Opioid, muDrug addictionJordanOpioidsPolymorphism

Identifiers

PMID33402148
PMCPMC7786995
OpenAlexW3119401745

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.