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Matroshka and ectopic polymorphisms: Two new classes of DNA sequence variation identified at the Van der Woude syndrome locus on 1q32-q41

✍ Scribed by Yoriko Watanabe; Jeffrey C. Murray; Bryan C. Bjork; Christine P. Bird; P.-W. Chiang; Simon G. Gregory; David M. Kurnit; Brian C. Schutte


Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
624 KB
Volume
18
Category
Article
ISSN
1059-7794

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✦ Synopsis


McIntosh

Van der Woude syndrome (VWS) is an orofacial clefting disorder with an autosomal dominant pattern of inheritance. In our efforts to clone the VWS gene, 900 kb of genomic sequence from the VWS candidate region at chromosome 1q32-q41 was analyzed for new DNA sequence variants. We observed that in clone CTA-321i20 a 7922 bp sequence is absent relative to the sequence present in PAC clone RP4-782d21 at positions 1669-9590, suggesting the presence of a deletion/insertion (del/ins) polymorphism. Embedded in this 7922 bp region was a TTCC short tandem repeat (STR). Genotype analysis showed that both the internal STR and the (del/ins) mutation were true polymorphisms. This is a novel example of intraallelic variation, a polymorphism within a polymorphism, and we suggest that it be termed a Matroshka polymorphism. Further genetic and DNA sequence analysis indicated that the ancestral state of the 1669-9590 del/ins polymorphism was the insertion allele and that the original deletion mutation probably occurred only once. A second class of novel DNA sequence variation was discovered on chromosome 5 that shared a 328 bp identical sequence with this region on chromosome 1. A single nucleotide polymorphism (SNP) was detected by SSCP using a pair of primers derived from the chromosome 1 sequence. Surprisingly, these primers also amplified the identical locus on chromosome 5, and the SNP was only located on chromosome 5. Since the probe unexpectedly detected alleles from another locus, we suggest that this type of sequence variant be termed an ectopic polymorphism. These two novel classes of DNA sequence polymorphisms have the potential to confound genetic and DNA sequence analysis and may also contribute to variation in disease phenotypes.