Evidence map›Paper›PMID 41888498›Full record

ReviewJournal of molecular neuroscience : MN2026

Genetic Variations in the Dopaminergic Signaling Pathways and Their Implications for Antipsychotics Pharmacogenetics.

Holiness S A Olasore, Matthew O Olawale, Damilare P Asiwaju, Anthony A Olashore

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular neuroscience : MN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Holiness S A OlasoreDepartment of Medical Biochemistry, College of Medicine, University of Lagos, Idi-Araba, Surulere, Lagos State, Nigeria. holashore@unilag.edu.ng.ORCID http://orcid.org/0000-0003-3082-3203
Matthew O OlawaleDepartment of Medical Biochemistry, College of Medicine, University of Lagos, Idi-Araba, Surulere, Lagos State, Nigeria.
Damilare P AsiwajuDepartment of Medical Biochemistry, College of Medicine, University of Lagos, Idi-Araba, Surulere, Lagos State, Nigeria.
Anthony A OlashoreDepartment of Psychiatry, University of Botswana, Gaborone, Botswana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of neurotransmitter systems in the pathology and management of psychiatric disorders is well documented. Targeting these systems has remained the mainstay of standard pharmacological interventions, with typical and atypical antipsychotics demonstrating effectiveness in reducing both positive and negative symptoms of schizophrenia. However, their clinical efficacy and side effect profiles vary among individuals due to genetic differences. This review aims to examine key genetic variants in the dopaminergic neurotransmitter system that influence antipsychotic response, with particular emphasis on clinically relevant single-nucleotide polymorphisms (SNPs), to support improved treatment outcome prediction and precision psychiatry. Polymorphisms in genes encoding dopamine receptors, transporters, and metabolising enzymes have been associated with variability in antipsychotic efficacy and susceptibility to adverse effects. Across multiple studies, the catechol-O-methyltransferase (COMT) Val158Met (rs4680) polymorphism and the dopamine D2 receptor/ANKK1 Taq1A (rs1800497) variant are among the most consistently reported genetic contributors to variability in dopamine signalling, receptor availability, and drug metabolism. These variants have been linked to differential therapeutic outcomes, including improved response in some treatment-resistant patients, as well as an increased risk of extrapyramidal symptoms, hyperprolactinaemia, and metabolic disturbances. These findings indicate that genetic variation in the dopaminergic system is a key contributor to differences in antipsychotic response. Integrating pharmacogenomic information in clinical practice may enhance personalised treatment strategies, reduce trial-and-error prescribing, and improve long-term outcomes in schizophrenia.

Indexed as

Antipsychotic AgentsDopaminePolymorphism, Single NucleotideSchizophreniaAnimalsCatechol O-MethyltransferaseHumansReceptors, DopamineSignal TransductionAntipsychotic AgentsCatechol O-MethyltransferaseCOMT protein, humanDopamineReceptors, DopamineAntipsychoticsDopamineGenetic polymorphismNeurotransmission

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.