Author

C. Z. Li

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Evolutionary Biology· 4

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Assay:DNA methylation· 4 Organism:multiple species· 4 Approach:statistical model· 4 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1

Frequent Co-Authors

A. Haghani· 4 shared A. T. Lu· 3 shared J. Zhang· 3 shared S. Horvath· 3 shared V. N. Gladyshev· 3 shared Z. Fei· 3 shared A. N. Hogan· 2 shared A. Seluanov· 2 shared

Activity by Year

2020-2023 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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4 shared papersEvolutionary Biology

A. Haghani

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4 papers

Recent·Most cited

Epigenetic predictors of species maximum lifespan and other life history traits in mammals

C. Z. Li, A. Haghani, Q. Yan, A. T. Lu, J. Zhang, Z. Fei, J. Ernst, X. Yang, V. N. Gladyshev, K. Raj, A. Seluanov, V. Gorbunova, S. Horvath

The paper develops DNA methylation predictors for mammalian maximum lifespan, gestation time, and sexual maturity, showing species-level epigenetic signatures that differ from individual lifespan variation.

bioRxiv · Nov 2, 2023 · PreprintEvolutionary Biology

Epigenetic predictors of maximum lifespan and other life history traits in mammals

C. Z. Li, A. Haghani, T. R. Robeck, D. Villar, A. T. Lu, J. Zhang, C. G. Faulkes, H. Vu, J. Ablaeva, D. M. Adams, R. Ardehali, A. Arneson, C. S. Baker, K. Belov, D. T. Blumstein, , A. J. Jasinska

The paper develops methylation-based models to predict maximum lifespan and other life history traits in mammals using data from 12,000 samples across 192 species.

bioRxiv · May 16, 2021 · PreprintEvolutionary Biology

DNA Methylation Networks Underlying Mammalian Traits

A. Haghani, A. T. Lu, C. Z. Li, T. R. Robeck, K. Belov, C. E. Breeze, R. T. Brooke, S. Clarke, C. G. Faulkes, Z. Fei, S. H. Ferguson, C. J. Finno, V. N. Gladyshev, V. Gorbunova, R. G. Goya, , S. Horvath

This study analyzes DNA methylation across 11,117 samples from 176 species to identify modules related to traits like age, lifespan, and phylogeny, revealing epigenetic patterns across evolution and aging.

bioRxiv · Mar 16, 2021Evolutionary Biology

Epigenetic clock and DNA methylation studies of roe deer in the wild

J.-F. Lemaitre, B. Rey, J.-M. Gaillard, C. Regis, E. Gilot, M. Pellerin, A. Haghani, J. A. Zoller, C. Z. Li, S. Horvath

This study develops epigenetic clocks for roe deer to assess how environment and sex influence DNA methylation aging in wild populations.

bioRxiv · Sep 21, 2020 · PreprintEvolutionary Biology