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Activity Number:
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318
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2016 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Genomics and Genetics
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Abstract #320031
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Title:
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Ultra-High-Dimensional Variable Selection with Application to Normative Aging Study: DNA Methylation and Metabolic Syndrome
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Author(s):
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Grace Yoon* and Yinan Zheng and Zhou Zhang and Haixiang Zhang and Brian Joyce and Wei Zhang and Wenxin Jiang and Lifang Hou and Lei Liu and Tao Gao and Andrea Baccarelli and Joel Schwartz and Pantel S. Vokonas
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Companies:
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and Northwestern University and Northwestern University and Tianjin University and Northwestern University and Northwestern University and Northwestern University and Northwestern University and Northwestern University and Northwestern University and Harvard and Harvard and Boston University
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Keywords:
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Iterative Sure Independence Screening ;
Elastic net ;
Bootstrap
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Abstract:
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Metabolic syndrome has become a major public health challenge worldwide. The association between metabolic syndrome and DNA methylation is of great research interest. We construct a binomial model to investigate the association between metabolic syndrome index and DNA methylation in the Normative Aging Study. We apply the Iterative Sure Independence Screening (ISIS) method with elastic net penalty to DNA methylation levels at 484,548 CpG markers from 659 human subjects. For correlated markers, we demonstrate that screening step in ISIS can significantly improve the performance of the elastic net against false positive. Our model identifies four CpGs which can be mapped to two biologically relevant and functional genes.
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Authors who are presenting talks have a * after their name.
