AI Article Synopsis

  • Allele-specific gene therapy seeks to silence harmful mutant genes by targeting specific genetic variations known as SNPs, but the effectiveness of this approach can differ across populations.
  • Research shows that most SNPs aren't effective for silencing due to limited variability and suboptimal characteristics, particularly in conditions like Huntington's disease.
  • To enhance patient access to effective treatment, the study recommends choosing SNPs that are more variable among populations and that can create mismatches in normal alleles, thus improving the likelihood of successful gene silencing.

Article Abstract

Allele-specific gene therapy aims to silence expression of mutant alleles through targeting of disease-linked single-nucleotide polymorphisms (SNPs). However, SNP linkage to disease varies between populations, making such molecular therapies applicable only to a subset of patients. Moreover, not all SNPs have the molecular features necessary for potent gene silencing. Here we provide knowledge to allow the maximisation of patient coverage by building a comprehensive understanding of SNPs ranked according to their predicted suitability toward allele-specific silencing in 14 repeat expansion diseases: amyotrophic lateral sclerosis and frontotemporal dementia, dentatorubral-pallidoluysian atrophy, myotonic dystrophy 1, myotonic dystrophy 2, Huntington's disease and several spinocerebellar ataxias. Our systematic analysis of DNA sequence variation shows that most annotated SNPs are not suitable for potent allele-specific silencing across populations because of suboptimal sequence features and low variability (>97% in HD). We suggest maximising patient coverage by selecting SNPs with high heterozygosity across populations, and preferentially targeting SNPs that lead to purine:purine mismatches in wild-type alleles to obtain potent allele-specific silencing. We therefore provide fundamental knowledge on strategies for optimising patient coverage of therapeutics for microsatellite expansion disorders by linking analysis of population genetic variation to the selection of molecular targets.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4717213PMC
http://dx.doi.org/10.1038/ejhg.2015.94DOI Listing

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