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Overview of Genetic Analysis of Human Opioid Receptors

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Opioid Receptors

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1230))

Abstract

The human μ-opioid receptor gene (OPRM1), due to its genetic and structural variation, has been a target of interest in several pharmacogenetic studies. The μ-opioid receptor (MOR), encoded by OPRM1, contributes to regulate the analgesic response to pain and also controls the rewarding effects of many drugs of abuse, including opioids, nicotine, and alcohol. Genetic polymorphisms of opioid receptors are candidates for the variability of clinical opioid effects. The non-synonymous polymorphism A118G of the OPRM1 has been repeatedly associated with the efficacy of opioid treatments for pain and various types of dependence. Genetic analysis of human opioid receptors has evidenced the presence of numerous polymorphisms either in exonic or in intronic sequences as well as the presence of synonymous coding variants that may have important effects on transcription, mRNA stability, and splicing, thus affecting gene function despite not directly disrupting any specific residue. Genotyping of opioid receptors is still in its infancy and a relevant progress in this field can be achieved by using advanced gene sequencing techniques described in this review that allow the researchers to obtain vast quantities of data on human genomes and transcriptomes in a brief period of time and with affordable costs.

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  1. Department of Pharmacy and Biotechnology (FaBiT), University of Bologna, Via Irnerio 48, 40126, Bologna, Italy

    Santi M. Spampinato

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Correspondence to Santi M. Spampinato .

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  1. University of Bologna, Bologna, Italy

    Santi M. Spampinato

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Spampinato, S.M. (2015). Overview of Genetic Analysis of Human Opioid Receptors. In: Spampinato, S. (eds) Opioid Receptors. Methods in Molecular Biology, vol 1230. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1708-2_1

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  • DOI: https://doi.org/10.1007/978-1-4939-1708-2_1

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-1707-5

  • Online ISBN: 978-1-4939-1708-2

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