Identification and Analysis of Candidate Genes for Familial Idiopathic Scoliosis
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Abstract from the SRS 2002 Annual Meeting
Results of population surveys and family studies have supported
the conclusion that there is a significant genetic contribution
to the pathogenesis of idiopathic scoliosis (IS). We have hypothesized
that analysis of genes contributing to familial IS cases
will reveal insights not only into the more common sporadic forms
of IS, but also will contribute fundamentally to an
understanding of human spinal growth and development. Genes contributing
to both simple Mendelian and complex human
diseases may be identified in three steps. First, chromosomal
loci potentially encoding disease genes are identified by genome
wide linkage scans of family DNA collections. Second, a map of
candidate genes encoded by each locus is constructed by a
variety of techniques. Third, each candidate gene is screened
for disease-causing sequence variations (mutations) in affected
family members. We have previously reported evidence of linkage
to loci on chromosome 15q (Zmax = 3.15, max=0.0) in an
extended family. In this kindred physical examination plus standing
posteroanterior (PA) radiographs were obtained for 38
members, of which 10 were found to be affected with IS. We now
report construction of a detailed gene map of this region
of chromosome 15. Known genes were identified within public databases
such as GeneMap 99; novel genes were predicted by
application of gene prediction algorithms to available genomic
sequence. Sequence variants in affected individuals are
currently being screened in selected genes by denaturing high
performance chromatography (DHPLC) and/or automated DNA
sequencing. We have also initiated collection of DNA samples from
families exhibiting complex inheritance of IS. A mechanism
has been established for systematically ascertaining appropriate
families from all orthopaedic clinics within Texas Scottish Rite
Hospital for Children, a regional referral center for the treatment
of IS. This growing repository will be used for en masse
identification of additional genes contributing to disease susceptibility.
Updated on: 12/10/09
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