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Heritability Estimation for Speech-Sound Traits with Developmental Trajectories.

Authors :
Stein, Catherine
Lu, Qing
Elston, Robert
Freebairn, Lisa
Hansen, Amy
Shriberg, Lawrence
Taylor, H.
Lewis, Barbara
Iyengar, Sudha
Source :
Behavior Genetics; Mar2011, Vol. 41 Issue 2, p184-191, 8p, 4 Charts, 1 Graph
Publication Year :
2011

Abstract

Numerous studies have examined genetic influences on developmental problems such as speech sound disorders (SSD), language impairment (LI), and reading disability. Disorders such as SSD are often analyzed using their component endophenotypes. Most studies, however, have involved comparisons of twin pairs or siblings of similar age, or have adjusted for age ignoring effects that are peculiar to age-related trajectories for phenotypic change. Such developmental changes in these skills have limited the usefulness of data from parents or siblings who differ substantially in age from the probands. Employing parent-offspring correlation in heritability estimation permits a more precise estimate of the additive component of genetic variance, but different generations have to be measured for the same trait. We report on a smoothing procedure which fits a series of lines that approximate a curve matching the developmental trajectory. This procedure adjusts for changes in measures with age, so that the adjusted values are on a similar scale for children, adolescents, and adults. We apply this method to four measures of phonological memory and articulation in order to estimate their heritability. Repetition of multisyllabic real words (MSW) showed the best heritability estimate of 45% in this sample. We conclude that differences in measurement scales across the age span can be reconciled through non-linear modeling of the developmental process. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00018244
Volume :
41
Issue :
2
Database :
Complementary Index
Journal :
Behavior Genetics
Publication Type :
Academic Journal
Accession number :
58627286
Full Text :
https://doi.org/10.1007/s10519-010-9378-5