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Activity Number:
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274
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #300911 |
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Title:
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Covariate Adjusted Correlation Analysis with Application to FMR1 Premutation
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Author(s):
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Danh V. Nguyen*+ and Damla Senturk
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Companies:
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University of California, Davis and The Pennsylvania State University
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Address:
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1 Shields Ave, Davis, CA, 95616,
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Keywords:
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Binning ; Conditional correlation ; Fragile X syndrome ; Local method of moments ; Nonparametric partial correlation ; Pearson correlation
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Abstract:
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Motivated by molecular data on female premutation carriers of the fragile X mental retardation 1 (FMR1) gene, we present a new method of covariate adjusted correlation analysis to examine the association of messenger RNA (mRNA) and number of CGG repeat expansion in the FMR1 gene. The proposed adjusted correlation uses local conditional correlations, which are local method of moments estimators, to estimate the Pearson correlation between two variables, adjusted for a third observable covariate (activation ratio, AR). The final covariate adjusted correlation estimator is shown to be consistent. Application to our data on 165 female carriers indicates that the association between mRNA and CGG repeat after adjusting for AR is stronger and is more in-line with association seen in male carriers. The results support a joint additive and multiplicative effect of AR in the literature.
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- Authors who are presenting talks have a * after their name.
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