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Activity Number:
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284
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #303718 |
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Title:
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Testing Hardy-Weinberg Equilibrium Using Family Data from Complex Surveys
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Author(s):
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Dewei She*+ and Hong Zhang and Zhaohai Li
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Companies:
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The George Washington University and University of Science and Technology of China and The George Washington University
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Address:
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Department of Statistics, Washington, DC, 20052,
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Keywords:
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complex sampling ; Hardy-Weinberg Equilibrium ; inbreeding coefficient ; Pearson chi-square based test ; Rao-Scott first order correction
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Abstract:
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Genetic data collected during the second phase of the Third National Health and Nutrition Examination Survey (NHANES III) enable us to investigate the association of a wide variety of health factors with regard to genetic variation. The classic question when looking into the genetic variations in a population is whether the population is in the state of Hardy-Weinberg Equilibrium (HWE). Our objective was to develop test procedures using family data from complex surveys such as NHANES III. We developed six Pearson ?2 based tests for a diallelic locus of autosomal genes. The finite sample properties of proposed test procedures were evaluated via Monte Carlo simulation studies and the Rao-Scott first order corrected test was recommended. Test procedures were applied to three loci from NHANES III genetic databases, i.e., ADRB2, TGFB1, and VDR.
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