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PMID: 2753353 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

A more powerful robust sib-pair test of linkage for quantitative traits.

Genetic epidemiology ·Vol. 6 ·No. 3 ·1989-00-00 ·Pages 435-49

Amos CI, Elston RC, Wilson AF, Bailey-Wilson JE

Abstract

A more powerful robust test for linkage is developed from the methodology of Haseman and Elston [Behav Genet 2(1):3-19, 1972]. This new robust test uses weighted least-squares (WLS) methods to detect linkage between a quantitative trait and a polymorphic marker. For comparison, the characteristics of a test for linakge that uses known trait genotypes for the parents are also studied. Sample sizes needed to detect linkage, calculated using asymptotic results, are compared for 1) the usual Haseman-Elston method, 2) the WLS method, and 3) the method that uses parental trait genotype data. The WLS method needs at most twice the number of sib pairs as does the method that uses information on the trait genotypes of the parents. The small sample properties of the Haseman-Elston (H-E) and WLS tests are investigated by simulation. The power calculations for the H-E method are found to be accurate. The power of the WLS method is overestimated when fewer than 300 sib pairs are studied, but the WLS method is nonetheless more powerful than the usual H-E method. In samples of fewer than 300 sib pairs, the WLS test tends to be anticonservative. Treating all sib pairs from sibships of size 3 or 5 as independent does not increase the significance of the tests.

MeSH Terms
Alleles Gene Frequency Genes, Dominant Genetic Linkage Genetic Markers Genotype Humans Mathematics Models, Genetic
Chemicals
Genetic Markers
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Amos C I
Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD 20892.
Elston R C
Wilson A F
Bailey-Wilson J E
Article Info
Journal
Genetic epidemiology
Abbr.
Genet Epidemiol
ISSN
0741-0395
Published
1989-00-00
Pages
435-49
Language
English
Region
United States
NLM ID
8411723
Subset
IM
Grants
NIGMS NIH HHS · GM 28356 · United States
NIGMS NIH HHS · GM 39573 · United States
NHLBI NIH HHS · HL 28522 · United States
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