Linked Life Data

3067863

Source:http://linkedlifedata.com/resource/pubmed/id/3067863

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1989-4-18
pubmed:abstractText
Rheumatic diseases are generally non-mendelian, depending on an interaction between genetic susceptibility and environmental factors. The overall role of genetic factors can be estimated from family resemblances and twin studies, while the role of individual susceptibility genes is studied by lod score analysis, haplotype sharing and population associations. Linkage analysis allows a long-range search of chromosomes for susceptibility loci, while population associations depend on much shorter-range effects. It is often very hard to tell whether an association of a disease with a marker is because the marker confers susceptibility or because it is in linkage disequilibrium with a separate susceptibility gene. When searching for individual susceptibility genes, it is important to avoid postulating models which would require an unrealistically high degree of genetic determination of the disease.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0950-3579
pubmed:author
pubmed:issnType
Print
pubmed:volume
2
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
519-28
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
1988
pubmed:articleTitle
What a rheumatologist should know about genetics.
pubmed:publicationType
Journal Article, Review