Linked Life Data

15384325

Source:http://linkedlifedata.com/resource/pubmed/id/15384325

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2004-9-23
pubmed:abstractText
Studies of monozygotic twins in the context of overfeeding and energy deficit experiments have shown that gene-environment interactions affect energy balance. From a clinical standpoint, this implies that some individuals are more susceptible to body-weight gain or loss than others because of genetic differences. This opens new perspectives in predictive medicine. In the future, health professionals should be able to count on early diagnosis of individuals at risk for developing long-term metabolic problems and obesity or for not responding adequately to clinical interventions. However, before predictive medicine is in a position to contribute significantly to prevention or treatment of patients, an enormous amount of work has to be done to identify all genetic and environmental factors of relevance, and their network of interactions.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0007-1145
pubmed:author
pubmed:issnType
Print
pubmed:volume
92 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S63-6
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Energy balance and body-weight stability: impact of gene-environment interactions.
pubmed:affiliation
Division of Kinesiology, Institute of Nutraceuticals and Functional Foods, Laval University, Ste-Foy, Québec, Canada G1K 7P4. angelo.tremblay@kin.mso.ulaval.ca
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't