Estimating and testing high-dimensional mediation effects in epigenetic studies

Haixiang Zhang, Yinan Zheng, Zhou Zhang, Tao Gao, Brian Joyce, Grace Yoon, Wei Zhang, Joel Schwartz, Allan Just, Elena Colicino, Pantel Vokonas, Lihui Zhao, Jinchi Lv, Andrea Baccarelli, Lifang Hou, Lei Liu

Research output: Contribution to journalArticle

26 Scopus citations

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. 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.

Original languageEnglish
Pages (from-to)3150-3154
Number of pages5
JournalBioinformatics
Volume32
Issue number20
DOIs
StatePublished - Oct 15 2016
Externally publishedYes

Fingerprint Dive into the research topics of 'Estimating and testing high-dimensional mediation effects in epigenetic studies'. Together they form a unique fingerprint.

  • Cite this

    Zhang, H., Zheng, Y., Zhang, Z., Gao, T., Joyce, B., Yoon, G., Zhang, W., Schwartz, J., Just, A., Colicino, E., Vokonas, P., Zhao, L., Lv, J., Baccarelli, A., Hou, L., & Liu, L. (2016). Estimating and testing high-dimensional mediation effects in epigenetic studies. Bioinformatics, 32(20), 3150-3154. https://doi.org/10.1093/bioinformatics/btw351