| Title: | ApoE Modifier Alleles for Alzheimer's Disease Discovered by Information Theory Dependency Measures: MIST Software Package |
| Journal: | Journal of Computational Biology |
| Published: | 2 Nov 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36322888/ |
| DOI: | https://doi.org/10.1089/cmb.2022.0185 |
Publication 10650
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Abstract
Information theory-based measures of variable dependency (previously published) have been implemented into a software package, MIST. The design of the software and its potential uses are described, and a demonstration is presented in the discovery of modifier alleles of the ApoE gene in affecting Alzheimer's disease (AD) by analyzing the UK Biobank dataset. The modifier genes uncovered overlap strongly with genes found to be associated with AD. Others include many known to influence AD. We discuss a range of uses of the dependency calculations using MIST that can uncover additional genetic effects in similar complex datasets, like higher degrees of interaction and phenotypic pleiotropy.</p>
4 Authors
- Andrew Banman
- Nikita A. Sakhanenko
- James Kunert-graf
- David J. Galas
Enabling scientific discoveries that improve human health