Mx Scripts Library: Structural Equation Modeling Scripts for Twin and Family Data

Structural equation modeling (SEM) provides a flexible tool to carry out genetic analyses of family and twin data. The basic model which decomposes the variance between and within families for a particular trait into genetic and non-genetic components can be generalized to multivariate and/ or longitudinal data, incorporate sex differences in parameter estimates, and model the effects of measured environment, candidate genes or DNA marker data. We introduce a web-based library (http://www.psy.vu.nl/mxbib) of scripts for uni- and multivariate genetic epidemiological analyses, as well as for linkage and genetic association tests. The scripts are written to be used with the freely available software package Mx and provide a flexible and uniform approach to the analysis of data from relatives.

[1]  M. Bartels,et al.  Heritability of attention problems in children: I. cross‐sectional results from a study of twins, age 3–12 years , 2003, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[2]  Lindon J. Eaves,et al.  THE GENETIC ANALYSIS OF CONTINUOUS VARIATION: A COMPARISON OF EXPERIMENTAL DESIGNS APPLICABLE TO HUMAN DATA , 1969 .

[3]  L. Eaves,et al.  Education policy and the heritability of educational attainment , 2016, Nature.

[4]  Lindon Eaves,et al.  A model for sibling effects in man , 1976, Heredity.

[5]  D. F. Roberts,et al.  The History and Geography of Human Genes , 1996 .

[6]  P. Games.  Correlation and Causation: A Logical Snafu , 1990 .

[7]  D. I. Boomsma,et al.  Co-occurrence of Aggressive Behavior and Rule-Breaking Behavior at Age 12: Multi-Rater Analyses , 2003, Behavior genetics.

[8]  R. Cann.  The history and geography of human genes , 1995, The Journal of Asian Studies.

[9]  L. Peltonen,et al.  Classical twin studies and beyond , 2002, Nature Reviews Genetics.

[10]  L Kruglyak,et al.  Parametric and nonparametric linkage analysis: a unified multipoint approach. , 1996, American journal of human genetics.

[11]  D I Boomsma,et al.  Using LISREL to analyze genetic and environmental covariance structure , 1986, Behavior genetics.

[12]  L J Eaves,et al.  A method for analyzing the genetic basis of covariation , 1974, Behavior genetics.

[13]  Sarah E Medland,et al.  A genome scan for eye color in 502 twin families: most variation is due to a QTL on chromosome 15q. , 2004, Twin research : the official journal of the International Society for Twin Studies.

[14]  G. Willemsen,et al.  Linkage analysis of smoking initiation and quantity in Dutch sibling pairs , 2004, The Pharmacogenomics Journal.

[15]  Peter M. Bentler,et al.  EQS : structural equations program manual , 1989 .

[16]  A. Thapar,et al.  Methodology for Genetic Studies of Twins and Families , 1993 .

[17]  D I Boomsma,et al.  Combined Linkage and Association Tests in Mx , 2004, Behavior genetics.

[18]  S. Wright,et al.  The Relative Importance of Heredity and Environment in Determining the Piebald Pattern of Guinea-Pigs. , 1920, Proceedings of the National Academy of Sciences of the United States of America.

[19]  D W Fulker,et al.  Comparison of the biometrical genetical, MAVA, and classical approaches to the analysis of human behavior. , 1970, Psychological bulletin.

[20]  Shaun Purcell,et al.  Variance components models for gene-environment interaction in twin analysis. , 2002, Twin research : the official journal of the International Society for Twin Studies.

[21]  J K Hewitt,et al.  Combined linkage and association sib-pair analysis for quantitative traits. , 1999, American journal of human genetics.

[22]  L J Eaves,et al.  The genetical analysis of covariance structure , 1977, Heredity.

[23]  E. J. van den Oord,et al.  Using parental ratings to study the etiology of 3-year-old twins' problem behaviors: different views or rater bias? , 2001, Journal of child psychology and psychiatry, and allied disciplines.

[24]  G. Abecasis,et al.  Merlin—rapid analysis of dense genetic maps using sparse gene flow trees , 2002, Nature Genetics.

[25]  G. Vogler,et al.  Methodology for genetic studies of twins and families , 1993 .

[26]  D. A. Kenny,et al.  Correlation and Causation , 1937, Wilmott.

[27]  J K Hewitt,et al.  A note on computing the chi-square noncentrality parameter for power analyses , 1988, Behavior genetics.

[28]  N. Martin,et al.  The power of the classical twin study , 1978, Heredity.

[29]  H. Grüneberg,et al.  Introduction to quantitative genetics , 1960 .

[30]  Karl G. Jöreskog,et al.  Lisrel 8: User's Reference Guide , 1997 .