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Mutation Analysis in PARK2 Gene Uncovers Patterns of Associated Genetic Variants

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 294))

Abstract

We present a comparative analysis of PARK2 genetic variants based on genotype data from HapMap. We focused our study on the association between missense mutations and all other variations within the same gene to uncover patterns of hidden genetic variation. Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the main neurodegenerative diseases and represent a growing health concern worldwide, with the increase in the elderly population. Mutations in several genes have been associated with either AD or PD, and the number of novel genetic variants characterized is expanding rapidly with the introduction of next generation sequencing technologies. Most of these variants, however, are of unknown consequences as their effect might be mediated through association with additional mutations. Our results show that significant correlation between genetic variants exists and their co-occurrence might contribute to previously unidentified risk increase.

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Correspondence to Luísa Castro .

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© 2014 Springer International Publishing Switzerland

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Castro, L., Oliveira, J.L., Silva, R.M. (2014). Mutation Analysis in PARK2 Gene Uncovers Patterns of Associated Genetic Variants. In: Saez-Rodriguez, J., Rocha, M., Fdez-Riverola, F., De Paz Santana, J. (eds) 8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014). Advances in Intelligent Systems and Computing, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-319-07581-5_18

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  • DOI: https://doi.org/10.1007/978-3-319-07581-5_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07580-8

  • Online ISBN: 978-3-319-07581-5

  • eBook Packages: EngineeringEngineering (R0)

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