| Autor: |
Jiang Gui, Jason H Moore, Scott M Williams, Peter Andrews, Hans L Hillege, Pim van der Harst, Gerjan Navis, Wiek H Van Gilst, Folkert W Asselbergs, Diane Gilbert-Diamond |
| Jazyk: |
angličtina |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
PLoS ONE, Vol 8, Iss 6, p e66545 (2013) |
| Druh dokumentu: |
article |
| ISSN: |
1932-6203 |
| DOI: |
10.1371/journal.pone.0066545 |
| Popis: |
We present an extension of the two-class multifactor dimensionality reduction (MDR) algorithm that enables detection and characterization of epistatic SNP-SNP interactions in the context of a quantitative trait. The proposed Quantitative MDR (QMDR) method handles continuous data by modifying MDR's constructive induction algorithm to use a T-test. QMDR replaces the balanced accuracy metric with a T-test statistic as the score to determine the best interaction model. We used a simulation to identify the empirical distribution of QMDR's testing score. We then applied QMDR to genetic data from the ongoing prospective Prevention of Renal and Vascular End-Stage Disease (PREVEND) study. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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