  ## Behavioural Genetics Interactive Modules

An online introduction to BG research

Shaun Purcell, 2007.
 Tutorials Modules WWW demos Introductory Intermediate  Involved   Overview
Variance
Covariance
Correlation & Regression
Matrices
Single Gene
Variance Components
Families
Model-fitting 1
Model-fitting 2
Multivariate
Extremes Analysis

Download all modules (ZIP) Overview For information on how to use the modules, please follow the link by clicking on the symbol to the right. Variance This module is designed to introduce the concept of variance: what it represents, how it is calculated and how it can be used to assess individual differences in any quantitative trait. Standardised scores are also introduced.  Covariance How the covariance statistic can be used to represent association between two measures is introduced in this module.  Correlation & Regression  The Correlation & Regression module explores the relationship between variance, covariance, correlation and regression coefficients.  Matrices Matrices provides a simple matrix calculator.  Single Gene Model  Single Gene Model introduces the basic biometrical model used to describe the effects of individual genes, in terms of additive genetic values and dominance deviations.  Variance Components : ACE  Variance Components: ACE illustrates the partitioning of variance into additive genetic, shared environmental and nonshared environmental components in the context of MZ and DZ twins.  Families Families demonstrates the relationship between additive and dominance genetic, shared and nonshared environmental variance and expected familial correlations for different types of relatives.  Model-fitting 1   Twin covariance matrices are modelled by manually adjusting the components of variance in order to find the best-fit parameter estimates for ACE model; nested models can then be compared to the full ACE model.  Model-fitting 2   This on-line resource performs a maximum-likelihood analysis of univariate twin data and presents the parameter estimates for nested sub-models. The tutorial explains how to use the module and how to interpret the output.  Multivariate Analysis   Multivariate Analysis models the genetic and environmental aetiology of two traits.  Extremes Analysis  Extremes Analysis illustrates how DeFries-Fulker extremes analysis can be used to estimate components of variance from twin data by looking at extreme-scoring individuals and their co-twins.  Feedback Please send any suggestions, comments or bug-reports to me (shaun AT pngu dot mgh dot harvard dot edu) to help make this site better. Please check the list of recent modifications and bug-reports before sending bug-reports. This list also contains information about updates on the modules. ## Miscellaneous BG Resources

 Introduction to Mx This provides a basic introduction to the Mx model-fitting package. Beginning Quantitative Genetic Analysis This tutorial introduces basic quantitative genetic analyses, using commonly available statistics software such as Stata. Several of the modules are also used, as is Mx. Various simulated datasets are presented as well as commentary on the methods of analysis and results. SIMULATOR This on-line resource allows users to easily simulate multivariate ACE datasets and explore the properties of the Cholesky decomposition description of data. Maximum Likelihood Estimation This on-line tutorial introduces an area central to the model-fitting approaches described here: maximum likelihood estimation. Linkage & Linkage Disequilibrium This on-line tutorial and module aims to introduce the related phenomena of linkage and linkage disequilibrium.  Probability Calculator This on-line resource allows the easy calculation of probability functions such as the chi-squared and normal distributions, replacing the need to look up significance values in tables. Twin Zygosity Calculator Determine whether a twin pair is identical or not with this on-line questionnaire.  About this site
Site created by S.Purcell, last updated 20.05.2007