Literature DB >> 30944056

umx: Twin and Path-Based Structural Equation Modeling in R.

Timothy C Bates1, Hermine Maes2, Michael C Neale2.   

Abstract

Structural equation modeling (SEM) is an important research tool, both for path-based model specification (common in the social sciences) and also for matrix-based models (in heavy use in behavior genetics). We developed umx to give more immediate access, relatively concise syntax and helpful defaults for users in these two broad disciplines. umx supports development, modification and comparison of models, as well as both graphical and tabular outputs. The second major focus of umx, behavior genetic models, is supported via functions implementing standard multigroup twin models. These functions support raw and covariance data, including joint ordinal data, and give solutions for ACE models, including support for covariates, common- and independent-pathway models, and gene × environment interaction models. A tutorial site and question forum are also available.

Entities:  

Keywords:  OpenMx; R; path models; structural equation modeling; twin models

Mesh:

Year:  2019        PMID: 30944056     DOI: 10.1017/thg.2019.2

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  17 in total

1.  Multilevel Modeling in Classical Twin and Modern Molecular Behavior Genetics.

Authors:  Michael D Hunter
Journal:  Behav Genet       Date:  2021-02-20       Impact factor: 2.805

2.  Genetic and Environmental Influence on the Human Functional Connectome.

Authors:  Andrew E Reineberg; Alexander S Hatoum; John K Hewitt; Marie T Banich; Naomi P Friedman
Journal:  Cereb Cortex       Date:  2020-04-14       Impact factor: 5.357

3.  A Developmental Twin Study of Emotion Recognition and Its Negative Affective Clinical Correlates.

Authors:  Lance M Rappaport; Dever M Carney; Brad Verhulst; Michael C Neale; James Blair; Melissa A Brotman; Daniel S Pine; Ellen Leibenluft; John M Hettema; Roxann Roberson-Nay
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2018-09-29       Impact factor: 8.829

4.  Correction to: The Moderating Influence of School Achievement on Intelligence in Young Adulthood.

Authors:  Emilie Rune Hegelund; Erik Lykke Mortensen; Trine Flensborg-Madsen; Jesper Dammeyer; Kaare Christensen; Wendy Johnson
Journal:  Behav Genet       Date:  2022-01       Impact factor: 2.805

5.  Which adolescent factors predict alcohol misuse in young adulthood? A co-twin comparisons study.

Authors:  Mallory Stephenson; Peter Barr; Albert Ksinan; Fazil Aliev; Antti Latvala; Richard Viken; Richard Rose; Jaakko Kaprio; Danielle Dick; Jessica E Salvatore
Journal:  Addiction       Date:  2020-01-08       Impact factor: 6.526

6.  Genetic and environmental influences of variation in diffusion MRI measures of white matter microstructure.

Authors:  Zhan Luo; Nagesh Adluru; Douglas C Dean; Andrew L Alexander; H Hill Goldsmith
Journal:  Brain Struct Funct       Date:  2021-09-28       Impact factor: 3.270

7.  Birth Complications and Negative Emotionality Predict Externalizing Behaviors in Young Twins: Moderations with Genetic and Family Risk Factors.

Authors:  Lisabeth Fisher DiLalla; Matthew R Jamnik; Riley L Marshall; Rachel Weisbecker; Cheyenne Vazquez
Journal:  Behav Genet       Date:  2021-05-28       Impact factor: 2.805

8.  Predicting Alcohol Dependence Symptoms by Young Adulthood: A Co-Twin Comparisons Study.

Authors:  Mallory Stephenson; Peter Barr; Fazil Aliev; Albert Ksinan; Antti Latvala; Eero Vuoksimaa; Richard Viken; Richard J Rose; Jaakko Kaprio; Danielle Dick; Jessica E Salvatore
Journal:  Twin Res Hum Genet       Date:  2021-09-16       Impact factor: 2.470

9.  Quantitative genetic analysis deciphers the impact of cis and trans regulation on cell-to-cell variability in protein expression levels.

Authors:  Michael D Morgan; Etienne Patin; Bernd Jagla; Milena Hasan; Lluís Quintana-Murci; John C Marioni
Journal:  PLoS Genet       Date:  2020-03-13       Impact factor: 5.917

10.  Inferring the heritability of large-scale functional networks with a multivariate ACE modeling approach.

Authors:  Fernanda L Ribeiro; Felipe R C Dos Santos; João R Sato; Walter H L Pinaya; Claudinei E Biazoli
Journal:  Netw Neurosci       Date:  2021-06-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.