Twin Research and Human Genetics

Articles

Estimation of Subject-Specific Heritabilities From Intra-Individual Variation: iFACE

Peter C. M. Molenaara1, Dirk J. A. Smita2a3 c1, Dorret I. Boomsmaa2 and John R. Nesselroadea4

a1 Social, Life, and Engineering Sciences Imaging Center, The Pennsylvania State University, University Park, USA

a2 Biological Psychology, VU University Amsterdam, The Netherlands

a3 Neuroscience Campus Amsterdam, VU University Amsterdam, The Netherlands

a4 Department of Psychology, University of Virginia, Charlottesville, USA

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.

(Received November 17 2011)

(Accepted March 20 2012)

Key words:

  • genetic factor models;
  • multivariate time series;
  • idiographic filter;
  • event-related potentials

Correspondence:

c1 address for correspondence: Dirk J. A. Smit, Biological Psychology, VU University, van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands. E-mail: d.j.a.smit@vu.nl.

Metrics