Author

Brenda Larison

University of California, Los AngelesORCID 0000-0002-0264-7276Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Developmental Biology· 3

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Organism:multiple species· 1

Frequent Co-Authors

Amin HaghaniiD· 3 shared Carrie J. FinnoiD· 3 shared Joseph Alan ZolleriD· 3 shared Todd R. RobeckiD· 3 shared Caesar Z. LiiD· 2 shared Erin N. HalesiD· 2 shared Steve HorvathiD· 2 shared A ArnesoniD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersDevelopmental Biology

Amin HaghaniORCID

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3 papers

Recent·Most cited

Universal DNA methylation age across mammalian tissues

Ake Tzu-Hui Lu, Zhe Fei, Amin Haghani, Todd R. Robeck, Joseph Alan Zoller, Caesar Z. Li, Robert Lowe, Qi Jiang Yan, Joshua Zhang, H. Vu, Julia Ablaeva, Victoria A. Acosta-Rodríguez, Danielle M. Adams, Javier Almunia, Ajoy Aloysius, , June Mergl

The paper develops universal epigenetic clocks that accurately estimate age across mammalian tissues using DNA methylation data from 185 species.

Nature Aging · Aug 10, 2023Peer-reviewedDevelopmental Biology

DNA methylation aging and transcriptomic studies in horses

Steve Horvath, Amin Haghani, Sichong Peng, Erin N. Hales, Joseph Alan Zoller, Ken Raj, Brenda Larison, Todd R. Robeck, Jessica L. Petersen, Rebecca R. Bellone, Carrie J. Finno

This paper develops epigenetic clocks for horses using DNA methylation data from multiple tissues, showing age-related CpGs are near developmental genes and that castration does not significantly affect aging rate.

Nature Communications · Jan 10, 2022Peer-reviewedDevelopmental Biology

Epigenetic models predict age and aging in plains zebras and other equids

Brenda Larison, Gabriela Medeiros de Pinho, Amin Haghani, Joseph Alan Zoller, Caesar Z. Li, Carrie J. Finno, Colin P. Farrell, Christopher B. Kaelin, Gregory S. Barsh, Bernard Wooding, Todd R. Robeck, Dewey Maddox, Matteo A. Pellegrini, Steve Horvath

The paper develops epigenetic clocks and pacemaker models to predict age in plains zebras and other equids using DNA methylation data from blood samples.

bioRxiv · Mar 29, 2021 · PreprintDevelopmental Biology