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Activity Number:
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513
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #302363 |
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Title:
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Genetic Linkage Analysis Accounting for Missing Phenotypes in Males
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Author(s):
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Rosa C. Banuelos*+
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Companies:
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Rice University
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Address:
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2630 Bissonnet St , Houston, TX, 77005,
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Keywords:
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breast density ; phenotype ; simulation ; linkage analysis
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Abstract:
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Epidemiological studies consistently report mammographic breast density as an important risk factor for breast cancer yet the etiology of increased breast density is not completely understood. Missing phenotype data in pedigrees can potentially reduce the statistical power of linkage analysis. Usual approaches for dealing with missing data are to remove the incomplete observations or to impute missing values. However, the assumptions of these techniques of missing at random (MAR) may not always hold. In the breast density studies, the phenotype is not measured in men. Through simulation, we study the statistical properties of several missing data techniques in the genetic linkage setting.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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