Projects per year
Abstract
The rapid increase of omic data has greatly facilitated the investigation of associations between omic profiles such as DNA methylation (DNAm) and complex traits in large cohorts. Here, we propose a mixed-linear-model-based method called MOMENT that tests for association between a DNAm probe and trait with all other distal probes fitted in multiple random-effect components to account for unobserved confounders. We demonstrate by simulations that MOMENT shows a lower false positive rate and more robustness than existing methods. MOMENT has been implemented in a versatile software package called OSCA together with a number of other implementations for omic-data-based analyses.
Original language | English |
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Pages (from-to) | 1-13 |
Journal | Genome Biology |
Volume | 20 |
Issue number | 107 |
DOIs | |
Publication status | Published - 28 May 2019 |
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Dive into the research topics of 'OSCA: A tool for omic-data-based complex trait analysis'. Together they form a unique fingerprint.Projects
- 4 Finished
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Disconnected Mind - Phase 4
Deary, I. (Principal Investigator), Bastin, M. (Co-investigator) & Wardlaw, J. (Co-investigator)
1/04/19 → 31/03/23
Project: Research
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The Disconnected Mind Phase 3
Cox, S. (Principal Investigator) & Deary, I. (Co-investigator)
1/04/16 → 31/03/23
Project: Research
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RA2662 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2.
Porteous, D. (Principal Investigator)
1/09/13 → 31/08/19
Project: Research