Linkage analysis of complex diseases raises a number of important methodological problems. One of them concerns the clinical classification of disease phenotypes. In this study, we investigate the effects of false positive misclassification on the estimation of the recombination fraction and on the
Note on linkage analysis when the mode of transmission is unknown
β Scribed by Rosalind J. Neuman; John P. Rice; D. C. Rao
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 572 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0741-0395
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β¦ Synopsis
A major difficulty in a linkage analysis arises from the necessity of specifying the mode of inheritance prior to analysis. For a complex disease, such as those encountered in psychiatric illnesses, the mode of inheritance is generally not known in advance. Consequently, some estimation procedure is often combined with linkage analysis to circumvent this. We discuss several precautions that should be taken when using traditional statistical testing methods: correction of the likelihood for the method of sampling families and the computation of the lod score. We analyze simulated data with pedigrees selected under a sampling scheme approximating single ascertainment. In this situation, the severity of the above problems is attenuated.
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We show that under the null hypothesis of no linkage the maximum likelihood estimator of the recombination fraction converges to 1/2 even when the trait-related parameter values in the likelihood function are misspecified. Furthermore, we show that under the null hypothesis of no linkage, but with m