Dynamics of Associations Between Single Nucleotide Polymorphisms in Relation to Alzheimer's Disease Captured with a New Measure of Linkage Disequilibrium

  • Stanislav J. Sys 1Faculty of Biology and Center for Computational Sciences in Mainz (CSM), Johannes Gutenberg University Mainz, Staudingerweg 9, 55128 Mainz, Germany
  • David Fournier Faculty of Biology and Center for Computational Sciences in Mainz (CSM), Johannes Gutenberg University Mainz, Staudingerweg 9, 55128 Mainz, Germany
  • Illia Horenko Faculty of Informatics, Universit√† della Svizzera italiana Lugano, Via Buffi 13, 6900 Lugano
  • Kristina Endres Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Untere Zahlbacher Str. 8, 55131 Mainz
  • Susanne Gerber Johannes Gutenberg University Mainz

Abstract

Genome-Wide-Association-Studies have become a powerful method to link point mutations (e.g. single nucleotide polymorphisms (SNPs)) to a certain phenotype or a disease. However, their power to detect SNPs associated to polygenic diseases such as Alzheimer's Disease (AD) is limited, since they can only infer the pairwise relation of single SNPs to the phenotype and ignore possible effects of various SNP combinations. The common method to probe these possible complex genetic patterns is to compute a measure called linkage disequilibrium (LD). Despite the fact that several predictive patterns found with LD could successfully be applied to medical diagnosis, this measure still holds several drawbacks as for example the difficulty to confirm and replicate experimental results as well as its sensitivity to statistical biases. Here, we present the application of an alternative method, Linkage Probability (LP) for genetic pattern identification that provides the posterior probability of a relation between two categorical data sets and simultaneously considers potential biases from latent variables, such as the recombination rate or the genetic structure of a population. By applying the LP framework to data from the ADSP-Project, we show that changes of linkage patterns between SNPs can be associated to Alzheimer's disease. Common genomic relation measures still fail to extract this link.

Published
2018-03-15
How to Cite
SYS, Stanislav J. et al. Dynamics of Associations Between Single Nucleotide Polymorphisms in Relation to Alzheimer's Disease Captured with a New Measure of Linkage Disequilibrium. Genomics and Computational Biology, [S.l.], v. 4, n. 2, p. e100045, mar. 2018. ISSN 2365-7154. Available at: <https://genomicscomputbiol.org/ojs3/GCB/article/view/45>. Date accessed: 22 apr. 2019. doi: https://doi.org/10.18547/gcb.2018.vol4.iss2.e100045.
Section
Research Articles