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Performance of MAX Test and Degree of Dominance Index in Predicting the Mode of Inheritance
dc.creator | Zintzaras, E. | en |
dc.creator | Santos, M. | en |
dc.date.accessioned | 2015-11-23T10:55:17Z | |
dc.date.available | 2015-11-23T10:55:17Z | |
dc.date.issued | 2012 | |
dc.identifier | 10.1515/1544-6115.1804 | |
dc.identifier.issn | 1544-6115 | |
dc.identifier.uri | http://hdl.handle.net/11615/34978 | |
dc.description.abstract | We evaluate power performance to detect the correct mode of inheritance in gene-disease associations of two different approaches: the MAX test and the degree of dominance index or h-index. The MAX test is a special case of the conditional independence tests that simultaneously test for association and select the most likely genetic model based on a three-dimensional normal distribution. The h-index is based on the philosophy of using orthogonal contrasts to infer the mode of inheritance quantitatively. A population genetic model is developed where the real mode of inheritance is known a priori and power performance can be accurately determined. The simulations showed that none of the two approaches generally outperforms the other, nor each of them provides a panacea to estimate efficiently the mode of inheritance in all parameter space. However, the simultaneous application of both approaches can provide insights in determining the underlying mode of inheritance. | en |
dc.source.uri | <Go to ISI>://WOS:000306831100004 | |
dc.subject | genetic association | en |
dc.subject | mode of inheritance | en |
dc.subject | degree of dominance | en |
dc.subject | h-index | en |
dc.subject | MAX test | en |
dc.subject | GENETIC ASSOCIATION | en |
dc.subject | TREND TESTS | en |
dc.subject | DISEASE | en |
dc.subject | SCORES | en |
dc.subject | Biochemistry & Molecular Biology | en |
dc.subject | Mathematical & Computational Biology | en |
dc.subject | Statistics & Probability | en |
dc.title | Performance of MAX Test and Degree of Dominance Index in Predicting the Mode of Inheritance | en |
dc.type | journalArticle | en |
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