Linked Life Data

16564600

Source:http://linkedlifedata.com/resource/pubmed/id/16564600

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2006-5-8
pubmed:abstractText
Genetic variation, through its effects on gene regulatory networks, has an important role in determining biologic phenotypes and disease susceptibility. Recent studies using segregating populations have characterized variation in gene expression resulting from genetic differences and have used well-established assays to identify many cis-acting polymorphisms. Although trans effects have been shown to be globally important, their individual effects are small, such that their genome-wide identification remains a challenge. Two recent studies using approaches capitalizing on intercrossed mouse strains and novel computational methods have yielded examples of trans-regulatory networks.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0168-9525
pubmed:author
pubmed:issnType
Print
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
245-50
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Elucidating cis- and trans-regulatory variation using genetical genomics.
pubmed:affiliation
McGill University and Genome Quebec Innovation Centre, 740 Ave Dr. Penfield, Montreal, Quebec, Canada, H3A 1A4.
pubmed:publicationType
Journal Article, Review