ArticleHuman heredity2009
Conditional tests for localizing trait genes.
Article in Human heredity, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Genome-wide conditional search for epistatic disease-predisposing variants in human association studies.Human heredity · 2010Article
- Contrasting identity-by-descent estimators, association studies, and linkage analyses using the Framingham Heart Study data.BMC proceedings · 2009Article
- Combining information from linkage and association methods.Genetic epidemiology · 2009Article
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2 authors.
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Abstract
BACKGROUND/
aimsWith pedigree data, genetic linkage can be detected using inheritance vector tests, which explore the discrepancy between the posterior distribution of the inheritance vectors given observed trait values and the prior distribution of the inheritance vectors. In this paper, we propose conditional inheritance vector tests for linkage localization. These conditional tests can also be used to detect additional linkage signals in the presence of previously detected causal genes.
methodsFor linkage localization, we propose to perform inheritance vector tests conditioning on the inheritance vectors at two positions bounding a test region. We can detect additional linkage signals by conducting a further conditional test in a region with no previously detected genes. We use randomized p values to extend the marginal and conditional tests when the inheritance vectors cannot be completely determined from genetic marker data.
resultsWe conduct simulation studies to compare and contrast the marginal and the conditional tests and to demonstrate that randomized p values can capture both the significance and the uncertainty in the test results.
conclusionsThe simulation results demonstrate that the proposed conditional tests provide useful localization information, and with informative marker data, the uncertainty in randomized marginal and conditional test results is small.
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