Literature DB >> 11420618

Quantitative trait loci influencing morphine antinociception in four mapping populations.

S E Bergeson1, M L Helms, L A O'Toole, M W Jarvis, H S Hain, J S Mogil, J K Belknap.   

Abstract

Analgesia (pain reduction, or antinociception) is a classical and clinically important effect of morphine administration, and in rodent models sensitivity to morphine has been shown to be strongly influenced by genotype. For example, several studies have reported marked differences in morphine antinociception between the insensitive C57BL/6 (B6) and sensitive DBA/2 (D2) inbred mouse strains on the hot-plate assay. This prompted the present genome-wide search for quantitative trait loci (QTLs) that are chromosomal sites influencing the magnitude of antinociception, by using four mapping populations derived from the B6 and D2 progenitor inbred strains. These four were the BXD recombinant inbred (RI) strain set, an F2 (B6D2F2) population, short-term selective breeding for antinociception from a B6D2F2 founding population, and incipient or completed congenic strains. In the BXD RI set and in the B6D2F2, a genome-wide search identified 10-12 provisional QTLs at a nominal p <.05. The other populations were subsequently used as confirmation steps to test each of the provisional QTL regions. Based on all available mapping populations, four QTLs emerged as significant (p <.00005) on proximal Chromosome (Chr) 1 (females only), proximal Chr 9 (females only), mid Chr 9, and proximal Chr 10. The Chr 10 QTL comaps to the same region as the micro-opioid receptor gene (Oprm); this receptor is a known mediator of morphine's antinociceptive effects. The Chr 1 QTL was evident only in females and comapped with the kappa-opioid receptor gene, Oprk.

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Year:  2001        PMID: 11420618     DOI: 10.1007/s003350020022

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  24 in total

1.  Chromosome substitution strains: some quantitative considerations for genome scans and fine mapping.

Authors:  John K Belknap
Journal:  Mamm Genome       Date:  2003-11       Impact factor: 2.957

2.  The genetics of pain and analgesia in laboratory animals.

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Authors:  Paula L Hoffman; Beth Bennett; Laura M Saba; Sanjiv V Bhave; Phyllis J Carosone-Link; Cheryl K Hornbaker; Katerina J Kechris; Robert W Williams; Boris Tabakoff
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4.  Opioid sensitivity in mice selectively bred to consume or not consume methamphetamine.

Authors:  Emily C Eastwood; Tamara J Phillips
Journal:  Addict Biol       Date:  2012-11-12       Impact factor: 4.280

Review 5.  Sex differences in pain and pain inhibition: multiple explanations of a controversial phenomenon.

Authors:  Jeffrey S Mogil
Journal:  Nat Rev Neurosci       Date:  2012-12       Impact factor: 34.870

6.  Involvement of the melanocortin-1 receptor in acute pain and pain of inflammatory but not neuropathic origin.

Authors:  Ada Delaney; Margaret Keighren; Susan M Fleetwood-Walker; Ian J Jackson
Journal:  PLoS One       Date:  2010-09-13       Impact factor: 3.240

7.  Behavioral phenotype of pre-proenkephalin-deficient mice on diverse congenic backgrounds.

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Journal:  Psychopharmacology (Berl)       Date:  2004-06-09       Impact factor: 4.530

8.  Identification of candidate genes and gene networks specifically associated with analgesic tolerance to morphine.

Authors:  Jenica D Tapocik; Noah Letwin; Cheryl L Mayo; Bryan Frank; Troung Luu; Ovokeraye Achinike; Carrie House; Russell Williams; Greg I Elmer; Norman H Lee
Journal:  J Neurosci       Date:  2009-04-22       Impact factor: 6.167

9.  Mapping of a quantitative trait locus for morphine withdrawal severity.

Authors:  Benjamin Kest; Christina A Palmese; Aaron Juni; Elissa J Chesler; Jeffrey S Mogil
Journal:  Mamm Genome       Date:  2004-08       Impact factor: 2.957

10.  Analysis of candidate genes for morphine preference quantitative trait locus Mop2.

Authors:  G A Doyle; C L Schwebel; S E Ruiz; A D Chou; A T Lai; M-J Wang; G G Smith; R J Buono; W H Berrettini; T N Ferraro
Journal:  Neuroscience       Date:  2014-07-22       Impact factor: 3.590

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