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Detecting Genetic Interactions for Quantitative Traits Using m -Spacing Entropy Measure
Joint Authors
Park, Mira
Yee, Jaeyong
Kwon, Min-Seok
Jin, Seohoon
Park, Taesung
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A number of statistical methods for detecting gene-gene interactions have been developed in genetic association studies with binary traits.
However, many phenotype measures are intrinsically quantitative and categorizing continuous traits may not always be straightforward and meaningful.
Association of gene-gene interactions with an observed distribution of such phenotypes needs to be investigated directly without categorization.
Information gain based on entropy measure has previously been successful in identifying genetic associations with binary traits.
We extend the usefulness of this information gain by proposing a nonparametric evaluation method of conditional entropy of a quantitative phenotype associated with a given genotype.
Hence, the information gain can be obtained for any phenotype distribution.
Because any functional form, such as Gaussian, is not assumed for the entire distribution of a trait or a given genotype, this method is expected to be robust enough to be applied to any phenotypic association data.
Here, we show its use to successfully identify the main effect, as well as the genetic interactions, associated with a quantitative trait.
American Psychological Association (APA)
Yee, Jaeyong& Kwon, Min-Seok& Jin, Seohoon& Park, Taesung& Park, Mira. 2015. Detecting Genetic Interactions for Quantitative Traits Using m -Spacing Entropy Measure. BioMed Research International،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1055809
Modern Language Association (MLA)
Yee, Jaeyong…[et al.]. Detecting Genetic Interactions for Quantitative Traits Using m -Spacing Entropy Measure. BioMed Research International No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1055809
American Medical Association (AMA)
Yee, Jaeyong& Kwon, Min-Seok& Jin, Seohoon& Park, Taesung& Park, Mira. Detecting Genetic Interactions for Quantitative Traits Using m -Spacing Entropy Measure. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1055809
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1055809