Document Detail


Model-free sib-pair linkage analysis: combining full-sib and half-sib pairs.
MedLine Citation:
PMID:  10861895     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
When sampling full-sibs for linkage studies, half-sibs are often available. Not only are half-sibs convenient to sample, but they can sometimes offer greater power than full-sibs. We propose a method to combine the information from full-sibs and half-sibs into a single test for linkage. This method is based on the Haseman and Elston [1972] method of regressing the squared trait-difference for a pair of sibs (either full- or half-sibs) on the estimated proportion of alleles shared identical by descent. To approximate the distribution of the test statistic, we propose a correction factor that considers the correlation among sibs, and demonstrate by simulations that this approximation works well in many situations, although there are some conditions for which the statistic can have an inflated Type-I error rate. The main appeal of our proposed method is the speed at which it can be computed, offering a rapid way to perform genome-wide linkage screens.
Authors:
D J Schaid; R C Elston; L Tran; A F Wilson
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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.    
Journal Detail:
Title:  Genetic epidemiology     Volume:  19     ISSN:  0741-0395     ISO Abbreviation:  Genet. Epidemiol.     Publication Date:  2000 Jul 
Date Detail:
Created Date:  2000-08-30     Completed Date:  2000-08-30     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  8411723     Medline TA:  Genet Epidemiol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  30-51     Citation Subset:  IM    
Copyright Information:
Copyright 2000 Wiley-Liss, Inc.
Affiliation:
Section of Biostatistics, Mayo Clinic/Foundation, Rochester, Minnesota 55905, USA. schaid@mayo.edu
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MeSH Terms
Descriptor/Qualifier:
Alleles
Computer Simulation
Genetic Diseases, Inborn / genetics
Genetic Markers
Genetic Variation
Humans
Linear Models
Linkage (Genetics)*
Models, Statistical*
Nuclear Family
Pedigree
Grant Support
ID/Acronym/Agency:
GM28356/GM/NIGMS NIH HHS; HL07567/HL/NHLBI NIH HHS; RR03655/RR/NCRR NIH HHS
Chemical
Reg. No./Substance:
0/Genetic Markers

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


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