Document Detail


Improved inference of relationship for pairs of individuals.
MedLine Citation:
PMID:  11032786     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Linkage analyses of genetic diseases and quantitative traits generally are performed using family data. These studies assume the relationships between individuals within families are known correctly. Misclassification of relationships can lead to reduced or inappropriately increased evidence for linkage. Boehnke and Cox (1997) presented a likelihood-based method to infer the most likely relationship of a pair of putative sibs. Here, we modify this method to consider all possible pairs of individuals in the sample, to test for additional relationships, to allow explicitly for genotyping error, and to include X-linked data. Using autosomal genome scan data, our method has excellent power to differentiate monozygotic twins, full sibs, parent-offspring pairs, second-degree (2 degrees ) relatives, first cousins, and unrelated pairs but is unable to distinguish accurately among the 2 degrees relationships of half sibs, avuncular pairs, and grandparent-grandchild pairs. Inclusion of X-linked data improves our ability to distinguish certain types of 2 degrees relationships. Our method also models genotyping error successfully, to judge by the recovery of MZ twins and parent-offspring pairs that are otherwise misclassified when error exists. We have included these extensions in the latest version of our computer program RELPAIR and have applied the program to data from the Finland-United States Investigation of Non-Insulin-Dependent Diabetes Mellitus (FUSION) study.
Authors:
M P Epstein; W L Duren; M Boehnke
Related Documents :
18252216 - A unified association analysis approach for family and unrelated samples correcting for...
17639506 - Case-cohort methods for survival data on families from routine registers.
15351956 - Multiple comparisons with a control in families with both one-sided and two-sided hypot...
18757506 - Estimating heritability and shared environmental effects for refractive error in twin a...
7252376 - Epidemics in competition.
16872416 - A note on the stereological implications of irregular spacing of sections.
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.     Date:  2000-10-13
Journal Detail:
Title:  American journal of human genetics     Volume:  67     ISSN:  0002-9297     ISO Abbreviation:  Am. J. Hum. Genet.     Publication Date:  2000 Nov 
Date Detail:
Created Date:  2000-11-30     Completed Date:  2000-12-14     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  0370475     Medline TA:  Am J Hum Genet     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1219-31     Citation Subset:  IM    
Affiliation:
Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Alleles
Chromosome Mapping / methods*
Computer Simulation
Diabetes Mellitus, Type 2 / genetics
Female
Gene Frequency / genetics
Genetic Markers / genetics
Genetic Testing
Genotype
Humans
Likelihood Functions
Linkage (Genetics) / genetics
Male
Matched-Pair Analysis*
Models, Genetic
Multicenter Studies as Topic
Nuclear Family
Pedigree
Research Design
Software
Twins, Monozygotic
X Chromosome / genetics
Grant Support
ID/Acronym/Agency:
R01HG00376/HG/NHGRI NIH HHS; T32HG00040/HG/NHGRI NIH HHS
Chemical
Reg. No./Substance:
0/Genetic Markers
Comments/Corrections
Erratum In:
Am J Hum Genet 2000 Dec;67(6):1631

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


Previous Document:  Linkage disequilibrium analysis of biallelic DNA markers, human quantitative trait loci, and thresho...
Next Document:  Performance of Markov chain-Monte Carlo approaches for mapping genes in oligogenic models with an un...