Document Detail

Regression models for linkage heterogeneity applied to familial prostate cancer.
MedLine Citation:
PMID:  11309684     Owner:  NLM     Status:  MEDLINE    
Linkage heterogeneity frequently occurs for complex genetic diseases, and statistical methods must account for it to avoid severe loss in power to discover susceptibility genes. A common method to allow for only a fraction of linked pedigrees is to fit a mixture likelihood and then to test for linkage homogeneity, given linkage (admixture test), or to test for linkage while allowing for heterogeneity, using the heterogeneity LOD (HLOD) score. Furthermore, features of the families, such as mean age at diagnosis, may help to discriminate families that demonstrate linkage from those that do not. Pedigree features are often used to create homogeneous subsets, and LOD or HLOD scores are then computed within the subsets. However, this practice introduces several problems, including reduced power (which results from multiple testing and small sample sizes within subsets) and difficulty in interpretation of results. To address some of these limitations, we present a regression-based extension of the mixture likelihood for which pedigree features are used as covariates that determine the probability that a family is the linked type. Some advantages of this approach are that multiple covariates can be used (including quantitative covariates), covariates can be adjusted for each other, and interactions among covariates can be assessed. This new regression method is applied to linkage data for familial prostate cancer and provides new insights into the understanding of prostate cancer linkage heterogeneity.
D J Schaid; S K McDonnell; S N Thibodeau
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.     Date:  2001-04-13
Journal Detail:
Title:  American journal of human genetics     Volume:  68     ISSN:  0002-9297     ISO Abbreviation:  Am. J. Hum. Genet.     Publication Date:  2001 May 
Date Detail:
Created Date:  2001-04-19     Completed Date:  2001-06-07     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  0370475     Medline TA:  Am J Hum Genet     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1189-96     Citation Subset:  IM    
Departments of Health Sciences Research and Medical Genetics, Mayo Clinic/Foundation, Rochester, MN, 55905, USA.
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MeSH Terms
Age of Onset
Chromosome Mapping / methods*,  statistics & numerical data*
Chromosomes, Human, Pair 1 / genetics
Chromosomes, Human, Pair 20 / genetics
Computer Simulation
Genetic Heterogeneity*
Genetic Predisposition to Disease / genetics*
Likelihood Functions
Linkage (Genetics) / genetics*
Lod Score
Middle Aged
Models, Genetic
Prostatic Neoplasms / epidemiology,  genetics*
Regression Analysis
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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