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Abstract Details
Activity Number:
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623
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #305438 |
Title:
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Genotype-Specific Missingness in Genetic Data
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Author(s):
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Zhaoxia Yu*+
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Companies:
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University of California at Irvine
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Address:
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Department of Statistics, Irvine, CA, 92697-1250, United States
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Keywords:
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genotype ;
missingness ;
nonrandom ;
transmission disequilibrium ;
bias
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Abstract:
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An important question in genetic association studies is whether missingness of genotype data depends on the underlying true genotypes. We propose a statistical method to estimate the three call rates at a single nucleotide polymorphism (SNP) using case-parents data. A likelihood ratio test is derived to test whether the call rates are all the same. The application of our methods to a genome-wide association study demonstrates that rare genotypes are usually more difficult to call and this type of nonrandom missingness introduces systematic bias that tends to estimate the common allele to be the risk allele.
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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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