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Allele-specific transcript quantification detects haplotypic variation in the levels of the SDF-1 transcripts
Author(s) -
Ryosuke Kimura
Publication year - 2005
Publication title -
human molecular genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.811
H-Index - 276
eISSN - 1460-2083
pISSN - 0964-6906
DOI - 10.1093/hmg/ddi166
Subject(s) - biology , haplotype , allele , genetics , single nucleotide polymorphism , genotype , gene , untranslated region , snp , genetic variation , three prime untranslated region , gene expression , microbiology and biotechnology , messenger rna
It has been suggested that SDF1-G801A, a single nucleotide polymorphism (SNP) in the 3' untranslated region (UTR) of the SDF1 gene, is associated with susceptibility to diseases such as AIDS and type-I diabetes. However, experimental studies examining the effect of SDF1-G801A on SDF-1 expression have not supported its functional importance. In this study, to examine whether other polymorphisms have a cis-acting effect on SDF1 expression, we carried out haplotype analyses of the SDF1 gene and the allele-specific transcript quantification utilizing Epstein-Barr virus-transformed lymphoblastoid cell lines with heterozygous genotype for SDF1-G801A. Haplotype-based analyses on the proportion of the allele-specific transcripts revealed the presence of haplotypes associated with a decreased amount of the transcripts. In addition, we observed haplotypic variation in response to dibutyl cyclic AMP and tetradecanoyl phorbol acetate that enhances the levels of SDF-1 transcripts probably through activation of transcription factors. Showing evidence that polymorphisms other than the SDF1-G801A have a cis-acting effect on expression of SDF-1 transcripts, the results of this study contribute to the interpretation of previous disease-association studies and to the selection of SNP markers for future studies. As shown in this study, allele-specific transcript quantification coupled with haplotype analyses can be an effective tool for detecting cis-acting polymorphisms in expressional regulation.

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