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Estimating and testing high-dimensional mediation effects in epigenetic studies.
- Source :
-
Bioinformatics (Oxford, England) [Bioinformatics] 2016 Oct 15; Vol. 32 (20), pp. 3150-3154. Date of Electronic Publication: 2016 Jun 29. - Publication Year :
- 2016
-
Abstract
- Motivation: High-dimensional DNA methylation markers may mediate pathways linking environmental exposures with health outcomes. However, there is a lack of analytical methods to identify significant mediators for high-dimensional mediation analysis.<br />Results: Based on sure independent screening and minimax concave penalty techniques, we use a joint significance test for mediation effect. We demonstrate its practical performance using Monte Carlo simulation studies and apply this method to investigate the extent to which DNA methylation markers mediate the causal pathway from smoking to reduced lung function in the Normative Aging Study. We identify 2 CpGs with significant mediation effects.<br />Availability and Implementation: R package, source code, and simulation study are available at https://github.com/YinanZheng/HIMA CONTACT: lei.liu@northwestern.edu.<br /> (© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.)
- Subjects :
- Aging
Humans
Monte Carlo Method
Smoking
DNA Methylation
Epigenomics
Subjects
Details
- Language :
- English
- ISSN :
- 1367-4811
- Volume :
- 32
- Issue :
- 20
- Database :
- MEDLINE
- Journal :
- Bioinformatics (Oxford, England)
- Publication Type :
- Academic Journal
- Accession number :
- 27357171
- Full Text :
- https://doi.org/10.1093/bioinformatics/btw351