Em. Wijsman et al., Segregation analysis of phenotypic components of learning disabilities. I.Nonword memory and digit span, AM J HU GEN, 67(3), 2000, pp. 631-646
Citations number
75
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology","Molecular Biology & Genetics
Dyslexia is a common and complex disorder with evidence for a genetic compo
nent. Multiple loci (i.e., quantitative-trait loci [QTLs]) are likely to be
involved, but the number is unknown. Diagnosis is complicated by the lack
of a standard protocol, and many diagnostic measures have been proposed as
understanding of the component processes has evolved. One or more genes may
, in turn, influence these measures. To date, little work has been done to
evaluate the mode of inheritance of individual component-as opposed to comp
osite-phenotypes, beyond family or twin correlation studies that initially
demonstrate evidence for a genetic basis of such components. Here we use tw
o approaches to segregation analysis in 102 nuclear families to estimate ge
netic models for component phenotypes associated with dyslexia: digit span
and a nonword-repetition task. Both measures are related to phonological sk
ills, one of the key component processes in dyslexia. We use oligogenic-tra
it segregation analysis to estimate the number of QTLs contributing to each
phenotype, and we use complex segregation analysis to identify the most pa
rsimonious inheritance models. We provide evidence in support of both a maj
or-gene mode of inheritance for the nonword-repetition task, with similar t
o 2.4 contributing QTLs, and for a genetic basis of digit span, with simila
r to 1.9 contributing QTLs. Results obtained by reciprocal adjustment of me
asures suggest that genes contributing to digit span may contribute to the
nonword-repetition score but that there are additional QTLs involved in non
word repetition. Our study adds to existing studies of the genetic basis of
composite phenotypes related to dyslexia, by providing evidence for major-
gene modes of inheritance of these single-measure component phenotypes.