Genome scan for loci predisposing to anxiety disorders using a novel multivariate approach: strong evidence for a chromosome 4 risk locus
Author: Kaabi B, Gelernter J, Woods SW, Goddard A, Page GP, Elston RC.
Source:
The American Journal of Human Genetics, 78(4), 543-553.
We conducted a 10-centimorgan linkage autosomal genome scan in a set of 19
extended American pedigrees (219 subjects) ascertained through probands with
panic disorder. Several anxiety disorders--including social phobia, agoraphobia,
and simple phobia--in addition to panic disorder segregate in these families. In
previous studies of this sample, linkage analyses were based separately on each
of the individual categorical affection diagnoses. Given the substantial
comorbidity between anxiety disorders and their probable shared genetic
liability, it is clear that this method discards a considerable amount of
information. In this article, we propose a new approach that considers panic
disorder, simple phobia, social phobia, and agoraphobia as expressions of the
same multivariate, putatively genetically influenced trait. We applied the most
powerful multipoint Haseman-Elston method, using the grade of membership score
generated from a fuzzy clustering of these phenotypes as the dependent variable
in Haseman-Elston regression. One region on chromosome 4q31-q34, at marker D4S413
(with multipoint and single-point nominal P values < .00001), showed strong
evidence of linkage (genomewide significance at P<.05). The same region is known
to be the site of a neuropeptide Y receptor gene, NPY1R (4q31-q32), that was
recently connected to anxiolytic-like effects in rats. Several other regions on
four chromosomes (4q21.21-22.3, 5q14.2-14.3, 8p23.1, and 14q22.3-23.3) met
criteria for suggestive linkage (multipoint nominal P values < .01).
Family-by-family analysis did not show any strong evidence of heterogeneity. Our
findings support the notion that the major anxiety disorders, including phobias
and panic disorder, are complex traits that share at least one susceptibility
locus. This method could be applied to other complex traits for which shared
genetic-liability factors are thought to be important, such as substance
dependencies.