Abstract
Single nucleotide polymorphisms (SNPs) are the most common type of genetic variants in the human genome. SNPs are known to modify susceptibility to complex diseases. We describe and discuss methods used to identify SNPs associated with disease in case–control studies. An outline on study population selection, sample collection and genotyping platforms is presented, complemented by SNP selection, data preprocessing and analysis.
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Acknowledgments
Research related to this manuscript was supported by Celera (Y.L. and D. S.) and the Austrian Science Fund (FWF P-18325) and the Austrian Academy of Science (OELZELT EST370/04) (R.O.).
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Li, Y., Shiffman, D., Oberbauer, R. (2011). Analysis of Single Nucleotide Polymorphisms in Case–Control Studies. In: Mayer, B. (eds) Bioinformatics for Omics Data. Methods in Molecular Biology, vol 719. Humana Press. https://doi.org/10.1007/978-1-61779-027-0_10
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DOI: https://doi.org/10.1007/978-1-61779-027-0_10
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