Author

Alejandra Urrutia

InsermORCID 0000-0002-1691-4531Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:deconvolution· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Darragh DuffyiD· 2 shared Étienne PatiniD· 2 shared Jacob BergstedtiD· 2 shared Lluís Quintana‐MurciiD· 2 shared Matthew L. AlbertiD· 2 shared Ana CumanoiD· 1 shared Anavaj SakuntabhaiiD· 1 shared Andrés AlcoveriD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Darragh DuffyORCID

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2 papers

Recent·Most cited

The Immune Factors Driving DNA Methylation Variation in Human Blood

Jacob Bergstedt, Sadoune Ait Kaci Azzou, Kristin Tsuo, Anthony Jaquaniello, Alejandra Urrutia, Maxime Rotival, David T S Lin, Julia L. MacIsaac, Michael Steffen Kobor, Matthew L. Albert, Darragh Duffy, Étienne Patin, Lluís Quintana‐Murci, Laurent Abel, Andrés Alcover, , Christophe Zimmer

This study identifies factors influencing DNA methylation variation in human blood, showing that cytomegalovirus infection and aging drive methylation changes, with cellular composition and DNA sequence as key predictors.

Nature Communications · Oct 6, 2022Peer-reviewedGenomics

Accurate prediction of cell composition, age, smoking consumption and infection serostatus based on blood DNA methylation profiles

Jacob Bergstedt, Alejandra Urrutia, Darragh Duffy, Matthew L. Albert, Lluís Quintana‐Murci, Étienne Patin

The paper develops a method to predict blood cell composition, age, smoking, and infection status using DNA methylation profiles, achieving high accuracy with fewer methylation sites than existing methods.

bioRxiv · Oct 30, 2018 · PreprintGenomics