A Century of Biometrical Genetics

  title={A Century of Biometrical Genetics},
  author={Robert C. Elston and Elizabeth A. Thompson},
Summary. We briefly review the major contribution of biometrics to genetics over the last century (population genetic models, familial correlations, segregation analysis, and gene mapping) and current areas of active research and then speculate about what problems will be tackled in the next century. 
2 Citations

Some aspects of analysis of gene array data.

Gene arrays provide the ability to measure the presence of tens of thousands of genes at one time, and to compare this set of genes between two or more systems.

Statistical contributions to molecular biology.



The estimation of genetic variance from twin data

Methods are presented for estimating genetic variance simultaneously from monozygotic and dizygotic twin data, care being taken to clarify the necessary underlying assumptions. Testing for the

A general model for the genetic analysis of pedigree data.

Assuming random mating and random sampling of pedigrees, the likelihood of a set of pedigree data is developed in terms of: (1) the population distribution of the different genotypes; (2) the phenotyp

A unified model for complex segregation analysis.

An attempt is made to resolve some divergences that have occurred in this context by the consideration of a unified model, with some practical applications.

On the statistical determination of major gene mechanisms in continuous human traits: regressive models.

  • G. Bonney
  • Psychology
    American journal of medical genetics
  • 1984
This work considers the analysis of a continuous trait measured on human families and pedigrees to elucidate the mechanism of underlying major genes, and describes natural classes of regressive models that are computationally feasible.

Regressive logistic models for familial disease and other binary traits.

The simple Markovian structures of dependence, defined previously for continuous traits, are extended here to familial disease and other binary traits through the use of the logistic function. The

Extensions to Pedigree Analysis

A computer method for calculating recurrence under the polygenic threshold model permits accurate risk evaluation for pedigrees of arbitrary structure and large enough size.

An Introduction to Genetic Statistics

This book is written to provide basic probability ideas in terms of genetic situations, since the theory of genetics is a probability theory, and to give a definitive treatment of applications of these ideas to genetic theory.

Some Recent Developments in the Theoretical Aspects of Segregation Analysis

These two models and how they have evolved over the last decade are described and described in the context of randomly sampled nuclear family data, the complications of extended pedigrees and non-random sampling being briefly dealt with later.

Sequential imputation for multilocus linkage analysis.

  • M. IrwinN. CoxA. Kong
  • Computer Science
    Proceedings of the National Academy of Sciences of the United States of America
  • 1994
A Monte Carlo method called sequential imputation is proposed for multilocus likelihood computations. This method is most useful in mapping situations where the data consist of large pedigrees with

Statistical issues in the search for genes affecting quantitative traits in experimental populations

This article reviews key contributions in the area of statistics as applied to the use of molecular marker technology and quantitative genetics in the search for genes affecting quantitative traits