A Systematic Comparison of Methods Designed for Association Analysis with Multi-Omics Data

Xiaqiong Wang and Yalu Wen
Additional contact information
Yalu Wen: Department of Statistics, University of Auckland, New Zealand

Biostatistics and Biometrics Open Access Journal, 2020, vol. 10, issue 2, 30-40

Abstract: With high-throughput biotechnologies, emerging multi-omics data have provided unprecedented opportunities for detecting new disease-associated biomarkers. A commonly used strategy for such an analysis is to form various sub-hypotheses based on each omics data and their combinations, and then integrate them. Existing methods designed for combining correlated results can be adapted for these association tests. However, there lack systematic comparisons of their performance when applied to multi-omics data. In this study, we conducted extensive simulation studies to evaluate the impacts of 1) inter-correlation among multi-omics data; 2) interaction effects within and between different layers of omics data; and 3) the underlying disease model on the performance of five selected methods, including the Kost and McDermott method, the Omnibus-Fisher method, the truncated product method (TPM), the harmonic mean P-value (HMP) method and the minimum P-value method.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://juniperpublishers.com/bboaj/pdf/BBOAJ.MS.ID.555783.pdf (application/pdf)
https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555783.php (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:10:y:2020:i:2:p:30-40

DOI: 10.19080/BBOAJ.2020.10.555783

Access Statistics for this article

Biostatistics and Biometrics Open Access Journal is currently edited by Sophia Mathis

More articles in Biostatistics and Biometrics Open Access Journal from Juniper Publishers Inc.
Bibliographic data for series maintained by Robert Thomas ().