Literature DB >> 17363416

Reliable screening for a pain-protective haplotype in the GTP cyclohydrolase 1 gene (GCH1) through the use of 3 or fewer single nucleotide polymorphisms.

Jörn Lötsch1, Inna Belfer, Anja Kirchhof, Bikash K Mishra, Mitchell B Max, Alexandra Doehring, Michael Costigan, Clifford J Woolf, Gerd Geisslinger, Irmgard Tegeder.   

Abstract

BACKGROUND: A haplotype in the GTP cyclohydrolase 1 (dopa-responsive dystonia) gene (GCH1) is associated with decreased persistent pain. The aim of the present study was to develop a screening method for the pain-protective haplotype.
METHODS: Complete genetic information for all 15 GCH1 DNA positions constituting the pain-protective GCH1 haplotype was available from 278 patients. In silico analyses, including discriminant analysis of the most frequent haplotypes, identified distinctive DNA positions that allow detection of the pain-protective haplotype at high sensitivity and specificity with the smallest possible number of DNA positions. Pyrosequencing(trade mark) assays were subsequently developed for these DNA positions, established with 662 DNA samples from healthy volunteers, and prospectively validated with a random selection of DNA samples genotyped for all 15 DNA positions.
RESULTS: Diagnosis of the pain-protective GCH1 haplotype was possible with 100% sensitivity and specificity by screening for just 3 GCH1 genetic variants that span the entire DNA range of the haplotype: c.-9610G>A (dbSNP rs8007267G>A) in the 5' untranslated region, c.343 + 8900A>T (dbSNP rs3783641A>T) in intron 1, and c.*4279 (dbSNP rs10483639C>G) in the 3' untranslated region. Test sensitivity and specificity were still >95% with 2 or even just 1 of these GCH1 DNA positions.
CONCLUSIONS: In silico analysis of complex GCH1 gene haplotypes reduced the requisite number of tested DNA positions from 15 to 3 while maintaining the reliability, specificity, and sensitivity of the genetic diagnosis. This screening method could reduce laboratory diagnostic efforts and facilitate investigations of the pain-protective GCH1 haplotype.

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Year:  2007        PMID: 17363416     DOI: 10.1373/clinchem.2006.082883

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  16 in total

1.  The design and methods of genetic studies on acute and chronic postoperative pain in patients after total knee replacement.

Authors:  Inna Belfer; Carol M Greco; Anna Lokshin; Katie Vulakovich; Douglas Landsittel; Feng Dai; Lawrence Crossett; Jacques E Chelly
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Review 2.  Biological pathways and genetic variables involved in pain.

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Authors:  Alban Latremoliere; Michael Costigan
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4.  Polymorphisms in the GTP cyclohydrolase gene (GCH1) are associated with ratings of capsaicin pain.

Authors:  Claudia M Campbell; Robert R Edwards; Cheryl Carmona; Magdalena Uhart; Gary Wand; Alene Carteret; Yu Kyeong Kim; James Frost; James N Campbell
Journal:  Pain       Date:  2008-12-09       Impact factor: 6.961

5.  GCH1 haplotype determines vascular and plasma biopterin availability in coronary artery disease effects on vascular superoxide production and endothelial function.

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Review 6.  Oxidative risk for atherothrombotic cardiovascular disease.

Authors:  Jane A Leopold; Joseph Loscalzo
Journal:  Free Radic Biol Med       Date:  2009-09-12       Impact factor: 7.376

7.  Complex trait genetics the role of mechanistic "intermediate phenotypes" and candidate genetic loci.

Authors:  Fangwen Rao; Lian Zhang; Daniel T O'Connor
Journal:  J Am Coll Cardiol       Date:  2008-07-08       Impact factor: 24.094

8.  Epistasis between polymorphisms in COMT, ESR1, and GCH1 influences COMT enzyme activity and pain.

Authors:  Shad B Smith; Ilkka Reenilä; Pekka T Männistö; Gary D Slade; William Maixner; Luda Diatchenko; Andrea G Nackley
Journal:  Pain       Date:  2014-09-16       Impact factor: 6.961

Review 9.  Genetic contributions to clinical pain and analgesia: avoiding pitfalls in genetic research.

Authors:  Hyungsuk Kim; David Clark; Raymond A Dionne
Journal:  J Pain       Date:  2009-07       Impact factor: 5.820

10.  Do genetic predictors of pain sensitivity associate with persistent widespread pain?

Authors:  Kate L Holliday; Barbara I Nicholl; Gary J Macfarlane; Wendy Thomson; Kelly A Davies; John McBeth
Journal:  Mol Pain       Date:  2009-09-23       Impact factor: 3.395

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