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Journal of Medical Imaging

Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines
Author(s): Mary Ellen Koran; Tricia A. Thornton-Wells; Neda Jahanshad; David C. Glahn; Paul M. Thompson; John Blangero; Thomas E. Nichols; Peter Kochunov; Bennett A. Landman
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Paper Abstract

Imaging genetics is an emerging methodological field that combines genetic information with medical imaging-derived metrics to understand how genetic factors impact observable phenotypes. In order for a trait to be a reasonable phenotype in an imaging genetics study, it must be heritable: at least some proportion of its variance must be due to genetic influences. The Sequential Oligogenic Linkage Analysis Routines (SOLAR) imaging genetics software can estimate the heritability of a trait in complex pedigrees. We investigate the ability of SOLAR to accurately estimate heritability and common environmental effects on simulated imaging phenotypes in various family structures. We found that heritability is reliably estimated with small family-based studies of 40 to 80 individuals, though subtle differences remain between the family structures. In an imaging application analysis, we found that with 80 subjects in any of the family structures, estimated heritability of white matter fractional anisotropy was biased by <10% for every region of interest. Results from these studies can be used when investigators are evaluating power in planning genetic analyzes.

Paper Details

Date Published: 27 June 2014
PDF: 9 pages
J. Med. Imag. 1(1) 014005 doi: 10.1117/1.JMI.1.1.014005
Published in: Journal of Medical Imaging Volume 1, Issue 1
Show Author Affiliations
Mary Ellen Koran, Vanderbilt Univ. (United States)
Tricia A. Thornton-Wells, Vanderbilt Univ. (United States)
Neda Jahanshad, Univ. of California, Los Angeles (United States)
David C. Glahn, Yale Univ. (United States)
Paul M. Thompson, Univ. of Southern California (United States)
John Blangero, Texas Biomedical Research Institute (United States)
Thomas E. Nichols, The Univ. of Warwick (United Kingdom)
Peter Kochunov, Univ. of Maryland School of Medicine (United States)
Bennett A. Landman, Vanderbilt University (United States)

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