## Abstract Thirty replicates of 200 nuclear families (6 members each) were generated under three GxE interaction models. Segregation analyses of these data were performed using a regressive model taking into account an interaction effect or not. Results showed that ignoring the GxE interaction mar
The resolution of genotype × environment interaction in segregation analysis of nuclear families
✍ Scribed by Dr. Lindon J. Eaves; D. C. Rao
- Publisher
- John Wiley and Sons
- Year
- 1984
- Tongue
- English
- Weight
- 945 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
✦ Synopsis
A model is presented for the effects of one or two loci, a measured index of the environment and genotype X environment (G X E) interaction of risk for a discontinuous trait. Initial properties of the model are explored for the single locus case, with and without the effects of environment and GXE interaction. Seven data sets were simulated, each comprising 500 nuclear families on whom an environmental index has been measured. Maximum-likelihood estimation procedures were used to obtain parameter estimates under seven models for each data set. Likelihood ratio tests were constructed, and in all cases it was possible to identify the "correct" model for the simulated data. The matrices of information realized showed that the parameters could be estimated with acceptable precision and that the effects of genes, environment, and GXE interaction could be resolved in the simulated populations. The effects on conventional segregation analysis of ignoring the environment and G X E are considered.
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