Jc. Souto et al., Genetic susceptibility to thrombosis and its relationship to physiologicalrisk factors: The GAIT study, AM J HU GEN, 67(6), 2000, pp. 1452-1459
Citations number
46
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology","Molecular Biology & Genetics
Although there are a number of well-characterized genetic defects that lead
to increased risk of thrombosis, little information is available on the re
lative importance of genetic factors in thrombosis risk in the general popu
lation We performed a family-based study of the genetics of thrombosis in t
he Spanish population to assess the heritability of thrombosis and to ident
ify the joint actions of genes on thrombosis risk and related quantitative
hemostasis phenotypes. We examined 338 individuals in 21 extended pedigrees
. Twelve pedigrees were ascertained through a proband with idiopathic throm
bosis, and the remaining pedigrees were randomly ascertained. The heritabil
ity of thrombosis liability and the genetic correlations between thrombosis
and each of the quantitative risk factors were estimated by means of a nov
el variance component method that used a multivariate threshold model. More
than 60% of the variation in susceptibility to common thrombosis is attrib
utable to genetic factors. Several quantitative risk factors exhibited sign
ificant genetic correlations with thrombosis, indicating that some of the g
enes that influence quantitative variation in these physiological correlate
s also influence the risk of thrombosis. Traits that exhibited significant
genetic correlations with thrombosis included levels of several coagulation
factors (factors VII, VIII, IX, XI, XII, and von Willebrand), tissue plasm
inogen activator, homocysteine, and the activated protein C ratio. This is
the first study that quantifies the genetic component of susceptibility to
common thrombosis. The high heritability of thrombosis risk and the signifi
cant genetic correlations between thrombosis and related risk factors sugge
st that the exploitation of correlated quantitative phenotypes will aid the
search for susceptibility genes.