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DNA methylation aging and transcriptomic studies in horses

Author

Listed:
  • Steve Horvath

    (University of California, Los Angeles
    University of California, Los Angeles)

  • Amin Haghani

    (University of California, Los Angeles)

  • Sichong Peng

    (Davis School of Veterinary Medicine)

  • Erin N. Hales

    (Davis School of Veterinary Medicine)

  • Joseph A. Zoller

    (University of California, Los Angeles)

  • Ken Raj

    (Public Health England)

  • Brenda Larison

    (University of California
    University of California)

  • Todd R. Robeck

    (SeaWorld Parks and Entertainment)

  • Jessica L. Petersen

    (University of Nebraska)

  • Rebecca R. Bellone

    (Davis School of Veterinary Medicine
    Davis School of Veterinary Medicine)

  • Carrie J. Finno

    (Davis School of Veterinary Medicine)

Abstract

Cytosine methylation patterns have not yet been thoroughly studied in horses. Here, we profile n = 333 samples from 42 horse tissue types at loci that are highly conserved between mammalian species using a custom array (HorvathMammalMethylChip40). Using the blood and liver tissues from horses, we develop five epigenetic aging clocks: a multi-tissue clock, a blood clock, a liver clock and two dual-species clocks that apply to both horses and humans. In addition, using blood methylation data from three additional equid species (plains zebra, Grevy’s zebras and Somali asses), we develop another clock that applies across all equid species. Castration does not significantly impact the epigenetic aging rate of blood or liver samples from horses. Methylation and RNA data from the same tissues define the relationship between methylation and RNA expression across horse tissues. We expect that the multi-tissue atlas will become a valuable resource.

Suggested Citation

  • Steve Horvath & Amin Haghani & Sichong Peng & Erin N. Hales & Joseph A. Zoller & Ken Raj & Brenda Larison & Todd R. Robeck & Jessica L. Petersen & Rebecca R. Bellone & Carrie J. Finno, 2022. "DNA methylation aging and transcriptomic studies in horses," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-021-27754-y
    DOI: 10.1038/s41467-021-27754-y
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    Cited by:

    1. Adriana Arneson & Amin Haghani & Michael J. Thompson & Matteo Pellegrini & Soo Bin Kwon & Ha Vu & Emily Maciejewski & Mingjia Yao & Caesar Z. Li & Ake T. Lu & Marco Morselli & Liudmilla Rubbi & Bret B, 2022. "A mammalian methylation array for profiling methylation levels at conserved sequences," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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