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Merging Absolute and Relative Quantitative PCR Data to Quantify STAT3 Splice Variant Transcripts
Published on: October 9, 2016
Cross-link immunoprecipitation data to detect polymorphisms lying in splicing regulatory motifs: a method to refine
Francesco Piva1, Matteo Giulietti, Tatiana Armeni
1Department of Specialized Clinical Sciences and Odontostomatology, Polytechnic University of Marche, via Brecce Bianche, Ancona, Italy. f.piva@univpm.it
Abstract:
In a previous study we showed that prediction tools are useful to select single-nucleotide polymorphisms (SNPs) which potentially affect phenotype and therefore guide genotyping in association studies, thus saving time and money. Here we use the recently available RNA cross-link immunoprecipitation data to analyze several genes involved in psychiatric disorders and show which disease-associated SNPs can affect the splicing process by altering splicing factor binding sites. We point out the importance of using cross-link immunoprecipitation data in psychiatry to refine the SNP selection methods, to explain the association found and to plan molecular investigations.
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