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The correlation between relatives with assortative mating
Annals of Human Genetics
|July 1, 1978
Summary
This study confirms that Fisher's formulae for the correlation between relatives are accurate under phenotypic assortative mating, even with complex genetic architectures. These findings are crucial for understanding heritability in quantitative genetics.
Area of Science:
- Quantitative Genetics
- Statistical Genetics
- Population Genetics
Background:
- Phenotypic assortative mating influences the correlation between relatives.
- Understanding these correlations is key to estimating heritability accurately.
- Previous models often had restrictions on genetic architectures.
Purpose of the Study:
- To calculate the equilibrium correlation between relatives under phenotypic assortative mating.
- To determine if Fisher's formulae for correlation between relatives hold without restrictions on the linkage map.
- To validate genetic models for traits influenced by additive loci without dominance and uncorrelated environmental factors.
Main Methods:
- Calculated equilibrium correlations for various close relatives.
- Assumed bivariate normal distribution for spouse phenotypes.
- Assumed normally distributed heredity and environmental factors.
- Assumed linear regression of phenotype/genotype on relatives' phenotype/genotype.
Main Results:
- Fisher's formulae for the correlation between relatives were found to hold true.
- The validity of these formulae was confirmed without restrictions on the linkage map.
- The results are consistent with assumptions of additive gene action and normally distributed traits.
Conclusions:
- The study validates the general applicability of Fisher's formulae in quantitative genetics.
- Assumptions regarding genetic and environmental distributions simplify but do not limit the core findings.
- This work provides a robust theoretical framework for analyzing relatedness in populations with assortative mating.