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PMID: 2929597 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Estimating the power of a proposed linkage study for a complex genetic trait.

American journal of human genetics ·Vol. 44 ·No. 4 ·1989-04-00 ·Pages 543-51

Ploughman LM, Boehnke M

Abstract

Many genetic traits have complex modes of inheritance; they may exhibit incomplete or age-dependent penetrance or fail to show any clear Mendelian inheritance pattern. As primary linkage maps for the human genome near completion, it is becoming increasingly possible to map these traits. Prior to undertaking a linkage study, it is important to consider whether the pedigrees available for the proposed study are likely to provide sufficient information to demonstrate linkage, assuming a linked marker is tested. In the current paper, we describe a computer simulation method to estimate the power of a proposed study to detect linkage for a complex genetic trait, given a hypothesized genetic model for the trait. Our method simulates trait locus genotypes consistent with observed trait phenotypes, in such a way that the probability to detect linkage can be estimated by sample statistics of the maximum lod score distribution. The method uses terms available when calculating the likelihood of the trait phenotypes for the pedigree and is applicable to any trait determined by one or a few genetic loci; individual-specific environmental effects can also be dealt with. Our method provides an objective answer to the question, Will these pedigrees provide sufficient information to map this complex genetic trait?

MeSH Terms
Genetic Linkage Genetics, Medical/methods Genotype Humans Pedigree Probability Software
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Ploughman L M
Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor.
Boehnke M
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16 references, click to expand
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Article Info
Journal
American journal of human genetics
Abbr.
Am J Hum Genet
ISSN
0002-9297
Published
1989-04-00
Pages
543-51
Language
English
Region
United States
NLM ID
0370475
PMCID
PMC1715589
Subset
IM
Grants
NINDS NIH HHS · R01-NS23410 · United States
NIGMS NIH HHS · R29-GM41440 · United States
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