alexa Analysis of Sex-Linked Recessive Traits: Optimal Designs for Parameter Estimation and Model Tests
ISSN: 2155-6180

Journal of Biometrics & Biostatistics
Open Access

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Research Article

Analysis of Sex-Linked Recessive Traits: Optimal Designs for Parameter Estimation and Model Tests

J. Fellman1,2*

1Folkhälsan Institute of Genetics, Department of Genetic Epidemiology, Helsinki, Finland

2Hanken School of Economics, Helsinki, Finland

*Corresponding Author:
J. Fellman
Folkhälsan Institute of Genetics
Department of Genetic Epidemiology, POB 211
FIN-00251 Helsinki, Finland
E-mail: [email protected]

Received date: May 24, 2012; Accepted date: June 19, 2012; Published date: June 20, 2012

Citation: Fellman J (2012) Analysis of Sex-Linked Recessive Traits: Optimal Designs for Parameter Estimation and Model Tests. J Biomet Biostat 3:146. doi: 10.4172/2155-6180.1000146

Copyright: © 2012 Fellman J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



The estimation of the gene frequency of sex-linked recessive traits is reconsidered. The estimation formulae for mixed, male, and female samples are presented and compared. Optimal designs for efficient estimation are studied. Male samples are optimal for gene frequencies below 1/3 and female samples for frequencies above 1/3. Mixed samples are never optimal. The model testing problem is discussed. Mixed samples are necessary for model testing. We analyse the loss in efficiency when both estimation and testing must be performed. In general, our results indicate that mixed samples should contain an excess of males. The results obtained are applied to empirical data found in the literature.


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