Linked Life Data

20428975

Source:http://linkedlifedata.com/resource/pubmed/id/20428975

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2010-5-26
pubmed:abstractText
Despite ongoing efforts, neither effective treatments nor mechanistic understanding of the pathogenesis of human neuropathic pain exists. Genetic association studies may point to the novel molecules that mediate neuropathic pain, facilitating its understanding and management. Several studies used a candidate gene approach to elucidate genetic contribution to neuropathic pain phenotypes; however, the data is limited and inconsistent. Possible reasons include: sample heterogeneity, underpowered study design, population admixture, poor phenotyping, genotyping errors, and statistical analytical mistakes. This article summarizes and discusses current strategies to optimize population-based association studies of human neuropathic pain focusing on principles of measuring neuropathic pain phenotypes and genotyping techniques. We also consider advantages and challenges of study designs and statistical analyses.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1534-3081
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
14
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
203-12
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Phenotyping and genotyping neuropathic pain.
pubmed:affiliation
Molecular Epidemiology of Pain Program, Department of Anesthesiology, University of Pittsburgh, 3550 Terrace St, Scaife Hall A-1310, Pittsburgh, PA 15261, USA. belferi@upmc.edu
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't