Literature DB >> 22856373

Estimation of subject-specific heritabilities from intra-individual variation: iFACE.

Peter C M Molenaar1, Dirk J A Smit, Dorret I Boomsma, John R Nesselroade.   

Abstract

A new genetic factor model for multivariate phenotypic time series, iFACE, is presented which allows for the estimation of subject-specific model parameters of genetic and environmental factors. The iFACE was applied to multivariate EEG registrations obtained with single dizygotic twin pairs. The results showed evidence for considerable subject-specificity in heritabilities and environmental effects. The assumption that the population is homogeneous (i.e., that each case in the population obeys the same parametric model), does not hold for these psychophysiological data, and its use should be critically reconsidered. We conclude that the iFACE provides a powerful new methodology to assess heterogeneity (subject-specificity) based on phenotypic observations.

Mesh:

Year:  2012        PMID: 22856373     DOI: 10.1017/thg.2012.9

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


  3 in total

1.  Bridging the Nomothetic and Idiographic Approaches to the Analysis of Clinical Data.

Authors:  Adriene M Beltz; Aidan G C Wright; Briana N Sprague; Peter C M Molenaar
Journal:  Assessment       Date:  2016-08

2.  Do non-shared environmental influences persist over time? An examination of days and minutes.

Authors:  S Alexandra Burt; Ashlea M Klahr; Kelly L Klump
Journal:  Behav Genet       Date:  2014-09-28       Impact factor: 2.805

3.  Neuroimaging and genetics: exploring, searching, and finding.

Authors:  Dirk J A Smit; Dennis van 't Ent; Greig de Zubicaray; Jason L Stein
Journal:  Twin Res Hum Genet       Date:  2012-06       Impact factor: 1.587

  3 in total

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