Linked Life Data

1809247

Source:http://linkedlifedata.com/resource/pubmed/id/1809247

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1992-5-21
pubmed:abstractText
Previous work in Papua New Guinea has shown considerable variation in egg counts between different people infected with Strongyloides fuelleborni kellyi, although individual egg loads remained relatively constant over a 14-month period. Possible explanations include genetic predisposition, a surprising longevity of the worms, or external auto-infection. We have now analysed the pedigrees of 177 individuals for whom egg counts were available, and find no evidence for polygenic inheritance of factors related to egg counts. The use of genetic models postulating the segregation of a single unknown susceptibility gene did not enable us, using the data available, to distinguish between this hypothesis and environmental determination of egg counts; nor did we find any association between egg load and the class 1 HLA genotype of the host.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0003-4983
pubmed:author
pubmed:issnType
Print
pubmed:volume
85
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
533-7
pubmed:dateRevised
2010-8-25
pubmed:meshHeading
pubmed:year
1991
pubmed:articleTitle
Host genetic factors do not account for variation in parasite loads in Strongyloides fuelleborni kellyi.
pubmed:affiliation
Papua New Guinea Institute of Medical Research, Goroka.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't