Accounting for Unmeasured Population Substructure in Case-Control Studies of Genetic Association Using a Novel Latent-Class Model

We propose a novel latent-class approach to detect and account for population stratification in a case-control study of association between a candidate gene and a disease. In our approach, population substructure is detected and accounted for using data on additional loci that are in linkage equilib...

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Bibliographic Details
Published in:American journal of human genetics 2001-02, Vol.68 (2), p.466-477
Main Authors: Satten, Glen A., Flanders, W.Dana, Yang, Quanhe
Format: Article
Language:English
Subjects:
Alleles
Biological and medical sciences
Case-Control Studies
Gene Frequency
General aspects. Genetic counseling
Genetic Predisposition to Disease - genetics
Genetics, Population
Humans
Linkage Disequilibrium
Medical genetics
Medical sciences
Models, Genetic
Tandem Repeat Sequences - genetics
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Summary:We propose a novel latent-class approach to detect and account for population stratification in a case-control study of association between a candidate gene and a disease. In our approach, population substructure is detected and accounted for using data on additional loci that are in linkage equilibrium within subpopulations but have alleles that vary in frequency between subpopulations. We have tested our approach using simulated data based on allele frequencies in 12 short tandem repeat (STR) loci in four populations in Argentina.
ISSN:0002-9297
1537-6605
DOI:10.1086/318195