Literature DB >> 22228031

Opioid genetics in the context of opioid switching.

Joanne Droney1, Julia Riley, Joy Ross.   

Abstract

PURPOSE OF REVIEW: On a population level, there is no difference in terms of efficacy or side-effects between any of the strong opioids. On an individual level, however, there is marked variation in response to opioids. This review presents some of the recent advances in opioid pharmacogenetic studies. RECENT
FINDINGS: A growing number of genes have been studied in a number of different patient populations. Most data have come from candidate-gene studies. There have been two genome-wide association studies in pain and opioid response. The clinical and genetic complexity of response to opioids has limited the clinical applicability of the genetic results. Currently, interindividual variation in opioid response is managed clinically through a process known as opioid switching. The evidence supporting the efficacy of opioid switching is poor, mainly because randomized controlled trials in this area are lacking.
SUMMARY: Adequately powered studies to allow identification of genetic variants with small effect size and exploration of gene-gene interaction are needed. Integration of genetic analysis in clinical studies with carefully defined outcome measures will increase the likelihood of identifying clinical and genetic factors which can be used to predict opioid response.

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Year:  2012        PMID: 22228031     DOI: 10.1097/SPC.0b013e32834f6a07

Source DB:  PubMed          Journal:  Curr Opin Support Palliat Care        ISSN: 1751-4258            Impact factor:   2.302


  4 in total

1.  Splice variation of the mu-opioid receptor and its effect on the action of opioids.

Authors:  Sophy K Gretton; Joanne Droney
Journal:  Br J Pain       Date:  2014-11

2.  Associations between the C3orf20 rs12496846 Polymorphism and Both Postoperative Analgesia after Orthognathic and Abdominal Surgeries and C3orf20 Gene Expression in the Brain.

Authors:  Daisuke Nishizawa; Makoto Nagashima; Shinya Kasai; Junko Hasegawa; Kyoko Nakayama; Yuko Ebata; Ken-Ichi Fukuda; Tatsuya Ichinohe; Masakazu Hayashida; Kazutaka Ikeda
Journal:  Pharmaceutics       Date:  2022-03-28       Impact factor: 6.525

3.  Genome-Wide Association Study Identifies Candidate Loci Associated with Opioid Analgesic Requirements in the Treatment of Cancer Pain.

Authors:  Daisuke Nishizawa; Takeshi Terui; Kunihiko Ishitani; Shinya Kasai; Junko Hasegawa; Kyoko Nakayama; Yuko Ebata; Kazutaka Ikeda
Journal:  Cancers (Basel)       Date:  2022-09-27       Impact factor: 6.575

4.  Managing cancer pain at the end of life with multiple strong opioids: a population-based retrospective cohort study in primary care.

Authors:  Wei Gao; Martin Gulliford; Michael I Bennett; Fliss E M Murtagh; Irene J Higginson
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

  4 in total

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