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