Linked Life Data

16175508

Source:http://linkedlifedata.com/resource/pubmed/id/16175508

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2005-9-21
pubmed:abstractText
Studies of genetic contributions to risk can be family-based, such as the case-parents design, or population-based, such as the case-control design. Both provide powerful inference regarding associations between genetic variants and risks, but both have limitations. The case-control design requires identifying and recruiting appropriate controls, but it has the advantage that nongenetic risk factors like exposures can be assessed. For a condition with an onset early in life, such as a birth defect, one should also genotype the mothers of cases and the mothers of controls to avoid potential confounding due to maternally mediated genetic effects acting on the fetus during gestation. The case-parents approach is less vulnerable than the case-mother/control-mother approach to biases due to population structure and self-selection. The case-parents approach also allows access to epigenetic phenomena like imprinting, but it cannot evaluate the role of nongenetic cofactors like exposures. We propose a hybrid design based on augmenting a set of affected individuals and their parents with a set of unaffected, unrelated individuals and their parents. The affected individuals and their parents are all genotyped, whereas only the parents of unaffected individuals are genotyped, although exposures are ascertained for both affected and unaffected offspring. The proposed hybrid design, through log-linear, likelihood-based analysis, allows estimation of the relative risk parameters, can provide more power than either the case-parents approach or the case-mother/control-mother approach, permits straightforward likelihood-ratio tests for bias due to mating asymmetry or population stratification, and admits valid alternative analyses when mating is asymmetric or when population stratification is detected.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-10364535, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-10603458, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-10631155, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-10631165, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-11754464, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-12050091, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-15340361, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-15665165, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-15712104, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-2049513, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-3500674, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-8213835, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-8447318, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-8900224, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-9529360, http://linkedlifedata.com/resource/pubmed/commentcorrection/16175508-9801020
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0002-9297
pubmed:author
pubmed:issnType
Print
pubmed:volume
77
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
627-36
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
A hybrid design for studying genetic influences on risk of diseases with onset early in life.
pubmed:affiliation
Biostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA. weinber2@niehs.nih.gov
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, N.I.H., Intramural