Measuring the inflation of the lod score due to its maximization over model parameter values in human linkage analysis
- 1 January 1990
- journal article
- research article
- Published by Wiley in Genetic Epidemiology
- Vol. 7 (4) , 237-243
- https://doi.org/10.1002/gepi.1370070402
Abstract
A computer‐simulation method is presented for determining and correcting for the effect of maximizing the lod score over disease definitions, penetrance values, and perhaps other model parameters. The method consists of simulating the complete analysis using marker genotypes randomly generated under the assumption of free recombination. It is applicable as a “post‐treatment” to linkage analyses of any trait with an uncertain mode of inheritance and/or disease definition. When the method is applied to a linkage analysis of schizophrenia versus chromosome 5 markers, we find that, in this specific case, the P‐value associated with a maximum lod score of 3 is equal to 0.0003. We also find that a lod score of 3.0 should be “deflated” by approximately 0.3 to 1 units, and, by tentative extrapolation, the observed lod score of 6.5 should be “deflated” by 0.7 to 1.5 units.Keywords
This publication has 10 references indexed in Scilit:
- Genetic linkage and complex diseases: A commentGenetic Epidemiology, 1990
- SIMULATION OF PEDIGREE GENOTYPES BY RANDOM-WALKS1989
- Man bites dog? The validity of maximizing lod scores to determine mode of inheritanceAmerican Journal of Medical Genetics, 1989
- Inferring mode of inheritance by comparison of lod scoresAmerican Journal of Medical Genetics, 1989
- Computer-simulation methods in human linkage analysis.Proceedings of the National Academy of Sciences, 1989
- ESTIMATING THE POWER OF A PROPOSED LINKAGE STUDY FOR A COMPLEX GENETIC TRAIT1989
- Localization of a susceptibility locus for schizophrenia on chromosome 5Nature, 1988
- Effects of Misspecifying Genetic Parameters in Lod Score AnalysisBiometrics, 1986
- The Jackknife, the Bootstrap and Other Resampling PlansPublished by Society for Industrial & Applied Mathematics (SIAM) ,1982