Multiple-Test Analysis of Sequences of SNPs for Determining Susceptibility to Pre-eclampsia

  • Authors:

  • Linda Fiaschi;Jonathan M. Garibaldi;Natalio Krasnogor

  • Affiliations:

  • School of Computer Science, University of Nottingham, Wollaton Road, Nottingham, NG8 1BB, UK;School of Computer Science, University of Nottingham, Wollaton Road, Nottingham, NG8 1BB, UK;School of Computer Science, University of Nottingham, Wollaton Road, Nottingham, NG8 1BB, UK

  • Venue:
  • Proceedings of the 2009 conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita
  • Year:
  • 2009

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Abstract

The ability to sequence DNA has opened up the possibility to investigate if there are specific relationships between genetic information and various diseases. A variation of the individual nucleotides in DNA is called a single nucleotide polymorphism (SNP). These may have no effect or may cause subtle differences in physical or psychological characteristics. Some may actually affect a person's response to drug therapy and even confer a personal susceptibility or resistance to a certain disease. For this reason, analysis of SNPs has become the subject of extensive research. In this chapter we show an example of a multiple-test analysis of SNPs for the assessment of susceptibility to pre-eclampsia. There are many different methods that can be used for such analysis, but we focus on one known as the Transmission Disequilibrium Test (TDT). By analyzing all possible combinations of SNPs in a database related to pre-eclampsia, we identify the combinations of particular interest. This is a useful tool for the preliminary analysis of such data in order to indicate candidate SNPs for further association studies.