Literature DB >> 19559388

Genetic contributions to clinical pain and analgesia: avoiding pitfalls in genetic research.

Hyungsuk Kim1, David Clark, Raymond A Dionne.   

Abstract

UNLABELLED: Understanding the genetic basis of human variations in pain is critical to elucidating the molecular basis of pain sensitivity, variable responses to analgesic drugs, and, ultimately, to individualized treatment of pain and improved public health. With the help of recently accumulated knowledge and advanced technologies, pain researchers hope to gain insight into genetic mechanisms of pain and eventually apply this knowledge to pain treatment. PERSPECTIVE: We critically reviewed the published literature to examine the strength of evidence supporting genetic influences on clinical and human experimental pain. Based on this evidence and the experience of false associations that have occurred in other related disciplines, we provide recommendations for avoiding pitfalls in pain genetic research.

Entities:  

Mesh:

Year:  2009        PMID: 19559388      PMCID: PMC2999357          DOI: 10.1016/j.jpain.2009.04.001

Source DB:  PubMed          Journal:  J Pain        ISSN: 1526-5900            Impact factor:   5.820


  87 in total

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Authors:  Hyosang Lee; Michael J Caterina
Journal:  Pflugers Arch       Date:  2005-06-11       Impact factor: 3.657

2.  Are we ready for genome-wide association studies?

Authors:  Duncan C Thomas
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-04       Impact factor: 4.254

3.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

4.  A whole genome association study of neuroticism using DNA pooling.

Authors:  S Shifman; A Bhomra; S Smiley; N R Wray; M R James; N G Martin; J M Hettema; S S An; M C Neale; E J C G van den Oord; K S Kendler; X Chen; D I Boomsma; C M Middeldorp; J J Hottenga; P E Slagboom; J Flint
Journal:  Mol Psychiatry       Date:  2007-07-31       Impact factor: 15.992

5.  Catechol-O-methyltransferase gene polymorphisms are associated with multiple pain-evoking stimuli.

Authors:  Luda Diatchenko; Andrea G Nackley; Gary D Slade; Kanokporn Bhalang; Inna Belfer; Mitchell B Max; David Goldman; William Maixner
Journal:  Pain       Date:  2006-07-11       Impact factor: 6.961

6.  Multifactorial preoperative predictors for postcesarean section pain and analgesic requirement.

Authors:  Peter H Pan; Robert Coghill; Timothy T Houle; Melvin H Seid; W Michael Lindel; R Lamar Parker; Scott A Washburn; Lynne Harris; James C Eisenach
Journal:  Anesthesiology       Date:  2006-03       Impact factor: 7.892

7.  Comment on Diatchenko et al. Catechol-O-methyltransferase gene polymorphisms are associated with multiple pain-evoking stimuli. Pain 2006;125:216-24.

Authors:  Hyungsuk Kim; Raymond A Dionne
Journal:  Pain       Date:  2007-04-02       Impact factor: 6.961

8.  Influence of psychological factors on risk of temporomandibular disorders.

Authors:  G D Slade; L Diatchenko; K Bhalang; A Sigurdsson; R B Fillingim; I Belfer; M B Max; D Goldman; W Maixner
Journal:  J Dent Res       Date:  2007-11       Impact factor: 6.116

9.  Principle components analysis of pain thresholds to thermal, electrical, and mechanical stimuli suggests a predominant common source of variance.

Authors:  Till J Neddermeyer; Karin Flühr; Jörn Lötsch
Journal:  Pain       Date:  2008-02-20       Impact factor: 6.961

10.  Structural, psychological, and genetic influences on low back and neck pain: a study of adult female twins.

Authors:  Alexander J MacGregor; Toby Andrew; Philip N Sambrook; Tim D Spector
Journal:  Arthritis Rheum       Date:  2004-04-15
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  24 in total

1.  Potential genetic risk factors for chronic TMD: genetic associations from the OPPERA case control study.

Authors:  Shad B Smith; Dylan W Maixner; Joel D Greenspan; Ronald Dubner; Roger B Fillingim; Richard Ohrbach; Charles Knott; Gary D Slade; Eric Bair; Dustin G Gibson; Dmitri V Zaykin; Bruce S Weir; William Maixner; Luda Diatchenko
Journal:  J Pain       Date:  2011-11       Impact factor: 5.820

2.  Predicting postoperative pain based on preoperative pain perception: are we doing better than the weatherman?

Authors:  Srinivasa N Raja; Troels S Jensen
Journal:  Anesthesiology       Date:  2010-06       Impact factor: 7.892

Review 3.  Epigenetics and the transition from acute to chronic pain.

Authors:  Thomas Buchheit; Thomas Van de Ven; Andrew Shaw
Journal:  Pain Med       Date:  2012-09-14       Impact factor: 3.750

4.  Impact of Race/Ethnicity in OA Treatment.

Authors:  Joanne M Jordan
Journal:  HSS J       Date:  2012-01-24

5.  Clinical and genetic factors related to cancer-induced bone pain and bone pain relief.

Authors:  Emanuela Scarpi; Daniele Calistri; Pål Klepstad; Stein Kaasa; Frank Skorpen; Ragnhild Habberstad; Oriana Nanni; Dino Amadori; Marco Maltoni
Journal:  Oncologist       Date:  2014-10-23

Review 6.  Systematic Review and Meta-Analysis of Genetic Risk of Developing Chronic Postsurgical Pain.

Authors:  Vidya Chidambaran; Yang Gang; Valentina Pilipenko; Maria Ashton; Lili Ding
Journal:  J Pain       Date:  2019-05-23       Impact factor: 5.820

Review 7.  Genetic variability of pain perception and treatment--clinical pharmacological implications.

Authors:  Jörn Lötsch
Journal:  Eur J Clin Pharmacol       Date:  2011-02-23       Impact factor: 2.953

Review 8.  Genetic basis of pain variability: recent advances.

Authors:  Erin E Young; William R Lariviere; Inna Belfer
Journal:  J Med Genet       Date:  2011-11-05       Impact factor: 6.318

Review 9.  Genome-wide approaches (GWA) in oral and craniofacial diseases research.

Authors:  H Kim; S Gordon; R Dionne
Journal:  Oral Dis       Date:  2012-08-23       Impact factor: 3.511

Review 10.  Epigenetics: a promising paradigm for better understanding and managing pain.

Authors:  Seungmae Seo; Adrienne Grzenda; Gwen Lomberk; Xiao-Ming Ou; Ricardo A Cruciani; Raul Urrutia
Journal:  J Pain       Date:  2013-04-19       Impact factor: 5.820

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