Abstract
Next-generation DNA sequencing has ushered in a new era of genotype-phenotype comparisons that have the potential to elucidate the genetic nature of complex traits. Since such methods rely on short sequence reads and since the human genome is composed largely of repetitive DNA elements larger than these read lengths many results cannot be mapped and are discarded, thus eliminating a large portion of the genome from analysis. Discerning associations in complex traits, such as longevity, will require either longer read lengths or methods to address these sequence complexities. Whole genome analysis, such as Genome Wide Association Studies (GWAS), also suffers from the repetitive nature of the human genome, as there exist many gaps in the availability of useable genetic markers, often in interesting regulatory regions. Methods are described here whereby some of these problems have been addressed by targeted DNA sequencing, full exploitation of available public databases, and a careful evaluation of genomic features where we use the FOXO3 gene as an example to identify functional variations and how they may relate to longevity.
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Change history
10 December 2020
The original version of this chapter was inadvertently published with only one affiliation for Philip M. C. Davy. Additional affiliation has now been included in chapter metadata and front matter
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Acknowledgements
This chapter was partially supported by the COBRE - Center for Translational Research on Aging at Kuakini Medical Center, with a grants from the National Institute of General Medical Sciences – NIGMS (1 P20 GM125526-01) from the National Institutes of Health.
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Donlon, T.A., Davy, P.M.C., Willcox, B.J. (2019). Analysis of FOXO3 Gene Polymorphisms Associated with Human Longevity. In: Link, W. (eds) FOXO Transcription Factors. Methods in Molecular Biology, vol 1890. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-8900-3_21
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DOI: https://doi.org/10.1007/978-1-4939-8900-3_21
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