Genetics of pain and analgesics – current insights and future directions

Pain perception and chronic pain susceptibility exhibit substantial interindividual variability, a significant portion of which is influenced by genetic factors. This mini–review summarizes the current understanding of pain genetics, covering early candidate gene discoveries, recent genome–wide association studies (GWAS), pharmacogenetic insights, and emerging clinical applications. Key pain–related genes such as OPRM1, COMT, and KCNJ6 have been implicated in modulating pain sensitivity and analgesic responses. Early candidate gene studies identified polymorphisms in neurotransmitter, inflammatory, and neuroplasticity–related genes associated with pain phenotypes, although many findings had limited replication. GWAS in large cohorts have since revealed dozens of risk loci contributing to chronic pain conditions, highlighting pathways in neural development, immune modulation, and opioid signaling. Pharmacogenetic research has unraveled how genetic variability in drug–metabolizing enzymes and targets (e.g., CYP2D6 and the μ–opioid receptor) affects individual responses to analgesics, paving the way for personalized pain management. We also discuss clinical decision algorithms incorporating genetic information to guide opioid prescribing and the challenges in translating genetic findings into routine care. In summary, the genetics of pain is a rapidly advancing field with promise to improve understanding of pain mechanisms and to enhance pain management through precision medicine, though further research is needed to fully realize personalized pain therapeutics.

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Publication Details

Journal
PAIN RESEARCH
Published
2025-12-11
DOI
https://doi.org/10.11154/pain.40.113
Primary Topic
Pain Management and Opioid Use
Type
article
Field-Weighted Citation Impact
0.00

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article

Genetics of pain and analgesics – current insights and future directions

Kazutaka Ikeda, Daisuke Nishizawa
PAIN RESEARCH
Pain Management and Opioid Use
article

Genetics of pain and analgesics – current insights and future directions

Kazutaka Ikeda, Daisuke Nishizawa
article en

Abstract

Pain perception and chronic pain susceptibility exhibit substantial interindividual variability, a significant portion of which is influenced by genetic factors. This mini–review summarizes the current understanding of pain genetics, covering early candidate gene discoveries, recent genome–wide association studies (GWAS), pharmacogenetic insights, and emerging clinical applications. Key pain–related genes such as OPRM1, COMT, and KCNJ6 have been implicated in modulating pain sensitivity and analgesic responses. Early candidate gene studies identified polymorphisms in neurotransmitter, inflammatory, and neuroplasticity–related genes associated with pain phenotypes, although many findings had limited replication. GWAS in large cohorts have since revealed dozens of risk loci contributing to chronic pain conditions, highlighting pathways in neural development, immune modulation, and opioid signaling. Pharmacogenetic research has unraveled how genetic variability in drug–metabolizing enzymes and targets (e.g., CYP2D6 and the μ–opioid receptor) affects individual responses to analgesics, paving the way for personalized pain management. We also discuss clinical decision algorithms incorporating genetic information to guide opioid prescribing and the challenges in translating genetic findings into routine care. In summary, the genetics of pain is a rapidly advancing field with promise to improve understanding of pain mechanisms and to enhance pain management through precision medicine, though further research is needed to fully realize personalized pain therapeutics.

PAIN RESEARCHVol. 40(1)
Tokyo Metropolitan Institute of Medical Science (JP), National Center of Neurology and Psychiatry (JP)
Smoking Research Foundation, Japan Society for the Promotion of Science
Openalex Percentile: Top 41%
Pain Management and Opioid Use
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Genetics of pain and analgesics – current insights and future directions — Kazutaka Ikeda, Daisuke Nishizawa · PAIN RESEARCH (2025) | TGRS Research Map | TGRS