Abstract Details
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Activity Number:
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311
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Type:
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Contributed
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Date/Time:
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Tuesday, August 6, 2013 : 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 - #307954 |
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Title:
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Ascertaining the Effect Size Distribution for Mapping Genetic Determinants of Diseases
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Author(s):
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Dmitri Zaykin*+ and Chia-Ling Kuo
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Companies:
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National Institute of Environmental Health Sciences and NIEHS
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Keywords:
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multiple testing ;
false discovery rates
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Abstract:
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In large scale genetic association studies, only a small proportion of variants contribute substantially to susceptibility. Owning to this sparseness, the fraction of genuine findings among top hits of a study is difficult to estimate. A crucial step in ascertainment of the proportion of genuine and spurious findings among top hits is an accurate representation of the effect size distribution among all genetic variants examined in a study. We describe progress in developing methods for characterizing the effect size distribution with applications to data analysis and design of genetic association studies.
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Authors who are presenting talks have a * after their name.
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