A novel high-throughput tool to genotype human gen.. (INGENIHUS)
A novel high-throughput tool to genotype human genome inversions for personalised medicine
Date du début: 1 juin 2014,
Date de fin: 31 mai 2015
The completion of the Human Genome Project has generated a new industry of personal genomics and personalized medicine, which aims to determine the entire DNA sequence of an individual to predict possible disease risks and improve treatment. However, despite the initial high expectations, it has not been possible to find the genetic causes for many common and complex diseases. Most of the work has been focused in one type of genetic variants, the single nucleotide variants or SNPs, but it has been recently shown that there are many other changes affecting larger regions of the genome, known as structural variants. One type of structural variant that has been implicated in functional differences between individuals and genetic diseases are inversions. Nevertheless, they have been poorly studied due to technical difficulties and there is not a global methodology to determine their presence in a quick and easy way. As part of the INVFEST ERC Starting Grant, we have developed a novel high-throughput screening technique for genotyping multiple inversions in hundreds of individuals. This project proposes the generation of a proof of concept package to move forward in the development of an innovative diagnostic kit of human genome inversions to be licensed to an industrial partner for its commercialization. To achieve this, the main goals are: (1) Optimizing the methodology by decreasing the amount of DNA needed and increasing the coverage to most known human inversions, especially those clinically relevant; (2) Strengthen the current patent through a freedom to operate study and a patent cooperation treaty application, and (3) Analyze the market to determine needs in inversion genotyping and compile feedback from the potential licensees and end-user companies. The availability of this technique would be crucial to identify unknown associations between inversions and phenotypic traits, including diseases, thus increasing its value and helping to fulfill genomics promises.
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