Research
Selection of publications. For a full list see my Google Scholar profile
2024
Causal Inference for Epigenetic Ageing
K Ying
Nature Reviews Genetics
Depletion of Loss-of-function Germline Mutations in Centenarians Reveals Longevity Genes
K Ying, JP Castro, AV Shindyapina, A Tyshkovskiy, M Moqri, LJE Goeminne, …, VN Gladyshev
Nature Communications
MethylGPT: A Foundation Model for the DNA Methylome
K Ying, J Song, H Cui, Y Zhang, S Li, X Chen, …, VN Gladyshev
bioRxiv
An Open Competition for Biomarkers of Aging
K Ying, S Paulson, J Reinhard, LPL Camillo, J Trauble, S Jokiel, …, VN Gladyshev
bioRxiv
High-dimensional Ageome Representations of Biological Aging across Functional Modules
K Ying, A Tyshkovskiy, Q Chen, E Latorre-Crespo, B Zhang, H Liu, …, VN Gladyshev
bioRxiv
Causality-Enriched Epigenetic Age Uncouples Damage and Adaptation
K Ying, H Liu, AE Tarkhov, MC Sadler, AT Lu, M Moqri, …, VN Gladyshev
Nature Aging (Featured on the February cover)
tldr
: This work established a novel framework to introduce causal information into epigenetic clocks, resulting in DamAge and AdaptAge—clocks that track detrimental and adaptive methylation changes, respectively.
Plasma-based Organ-specific Aging and Mortality Models Unveil Diseases as Accelerated Aging of Organismal Systems
LJE Goeminne, A Eames, A Tyshkovskiy, MA Argentieri, K Ying, M Moqri, …, VN Gladyshev
medRxiv
Validation of Biomarkers of Aging
M Moqri, C Herzog, JR Poganik, K Ying, JN Justice, DW Belsky, …, L Ferrucci
Nature Medicine
tldr:
Current efforts to evaluate the predictive validity of omic biomarkers of aging in population studies are reviewed, challenges in comparability and generalizability are discussed, and recommendations to facilitate future validation of biomarkers of aging are provided
TIME-seq Reduces Time and Cost of DNA Methylation Measurement for Epigenetic Clock Construction
PT Griffin, AE Kane, A Trapp, J Li, M Arnold, JR Poganik, RJ Conway, MS McNamara, MV Meer, N Hoffman, JA Amorim, X Tian, MR MacArthur, SJ Mitchell, AL Mueller, C Carmody, DL Vera, C Kerepesi, K Ying, …, DA Sinclair
Nature Aging
2023
18S rRNA Methyltransferases DIMT1 and BUD23 Drive Intergenerational Hormesis
N Liberman, MH Rothi, MV Gerashchenko, C Zorbas, K Boulias, FG MacWhinnie, AK Ying, …, EL Greer
Molecular Cell
Acarbose Suppresses Symptoms of Mitochondrial Disease in a Mouse Model of Leigh Syndrome
A Bitto, AS Grillo, TK Ito, IB Stanaway, BMG Nguyen, K Ying, …, M Kaeberlein
Nature Metabolism
ClockBase: A Comprehensive Platform for Biological Age Profiling in Human and Mouse
K Ying, A Tyshkovskiy, A Trapp, H Liu, M Moqri, C Kerepesi, VN Gladyshev
bioRxiv
tldr:
ClockBase is a comprehensive platform offering biological age estimates from over 2,000 DNA methylation datasets and nearly 200,000 samples using various aging clock models. It includes an online interface for data analysis and visualization. The platform facilitated the identification of potential anti-aging drugs, thereby aiding in the discovery of interventions for longevity and conditions that accelerate aging. The website is clockbase.org.
Biolearn, an Open-Source Library for Biomarkers of Aging
K Ying, S Paulson, M Perez-Guevara, M Emamifar, M Casas Martinez, D Kwon, JR Poganik, M Moqri, VN Gladyshev
bioRxiv
tldr:
By furnishing a community-driven platform, Biolearn significantly augments the development, assessment, and validation trajectories of aging biomarkers, paving the way toward more rigorous clinical validation and, ultimately, application in clinical trials targeting healthy longevity.
2022
Genetic Landscape of the ACE2 Coronavirus Receptor
Z Yang, E Macdonald-Dunlop, J Chen, R Zhai, T Li, A Richmond, …, K Ying, …, X Shen
Circulation
Epigenetic Profiling and Incidence of Disrupted Development Point to Gastrulation as Aging Ground Zero in Xenopus Laevis
B Zhang, AE Tarkhov, W Ratzan, K Ying, M Moqri, JR Poganik, …, VN Gladyshev
bioRxiv
Nature of Epigenetic Aging from a Single-Cell Perspective
AE Tarkhov, T Lindstrom-Vautrin, S Zhang, K Ying, M Moqri, B Zhang, VN Gladyshev
bioRxiv
2021
Genetic and Phenotypic Analysis of the Causal Relationship between Aging and COVID-19
K Ying, R Zhai, TV Pyrkov, AV Shindyapina, M Mariotti, PO Fedichev, X Shen, VN Gladyshev
Communications Medicine
tldr:
The genetic variation associated with longer lifespan is associated with reduced risk of COVID-19 infection and hospitalization, and some of the key cells and molecules involved in aging-related CO VID-19 risk are identified.
Total Genetic Contribution Assessment across the Human Genome
T Li, Z Ning, Z Yang, R Zhai, C Zheng, W Xu, Y Wang, K Ying, Y Chen, X Shen
Nature Communications
2019
Phosphorylation of PLIN3 by AMPK Promotes Dispersion of Lipid Droplets during Starvation
J Zhu, M Xu, Y Liu, L Zhuang, K Ying, F Liu, D Liu, W Ma, Z Songyang
Protein & Cell