Author

Marta F. Nabais

The University of QueenslandORCID 0000-0002-9545-5889Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:DNA methylation· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Approach:mixed model· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Agnieszka Kepa· 1 shared Allan F. McRaeiD· 1 shared Anna RoseiD· 1 shared Avshalom CaspiiD· 1 shared Eilis J. HannoniD· 1 shared Emma WalkeriD· 1 shared Futao ZhangiD· 1 shared Georgina ManselliD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenomics

Agnieszka Kepa

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Assessing the co-variability of DNA methylation across peripheral cells and tissues: implications for the interpretation of findings in epigenetic epidemiology

Eilis J. Hannon, Georgina Mansell, Emma Walker, Marta F. Nabais, Joe Burrage, Agnieszka Kepa, Janis Best-Lane, Anna Rose, Suzanne Heck, Terrie E. Moffitt, Avshalom Caspi, Louise Arseneault, Jonathan S. Mill

This study examines DNA methylation differences across blood cell types and tissues, showing that whole blood DNAm reflects contributions from multiple cell types rather than being cell-type specific.

PLoS Genetics · Mar 19, 2021Peer-reviewedGenomics

OSCA: a tool for omic-data-based complex trait analysis

Futao Zhang, Wenhan Chen, Zhihong Zhu, Qian Zhang, Marta F. Nabais, Ting Qi, Ian J. Deary, Naomi R. Wray, Peter M. Visscher, Allan F. McRae, Jian Yang

OSCA provides a tool for omic-data-based complex trait analysis using the MOMENT method, showing improved robustness and lower false positive rates in simulations.

Genome biology · May 28, 2019Peer-reviewedBioinformatics