John C. Earls
John C. Earls
Thorne HealthTech, University of Washington, Institute for Systems Biology
Verified email at
Cited by
Cited by
Multi-omics resolves a sharp disease-state shift between mild and moderate COVID-19
Y Su, D Chen, D Yuan, C Lausted, J Choi, CL Dai, V Voillet, VR Duvvuri, ...
Cell 183 (6), 1479-1495. e20, 2020
A wellness study of 108 individuals using personal, dense, dynamic data clouds
ND Price*, AT Magis*, JC Earls*, G Glusman, R Levy, C Lausted, ...
Nature biotechnology 35 (8), 747-756, 2017
Gut microbiome pattern reflects healthy ageing and predicts survival in humans
T Wilmanski, C Diener, N Rappaport, S Patwardhan, J Wiedrick, ...
Nature metabolism 3 (2), 274-286, 2021
Blood metabolome predicts gut microbiome α-diversity in humans
T Wilmanski, N Rappaport, JC Earls, AT Magis, O Manor, J Lovejoy, ...
Nature biotechnology 37 (10), 1217-1228, 2019
Cell type-specific genes show striking and distinct patterns of spatial expression in the mouse brain
Y Ko, SA Ament, JA Eddy, J Caballero, JC Earls, L Hood, ND Price
Proceedings of the National Academy of Sciences 110 (8), 3095-3100, 2013
Multi-omic biological age estimation and its correlation with wellness and disease phenotypes: a longitudinal study of 3,558 individuals
JC Earls, N Rappaport, L Heath, T Wilmanski, AT Magis, NJ Schork, ...
The Journals of Gerontology: Series A 74 (Supplement_1), S52-S60, 2019
A cell-surface membrane protein signature for glioblastoma
D Ghosh, CC Funk, J Caballero, N Shah, K Rouleau, JC Earls, ...
Cell systems 4 (5), 516-529. e7, 2017
Longitudinal analysis reveals transition barriers between dominant ecological states in the gut microbiome
R Levy, AT Magis, JC Earls, O Manor, T Wilmanski, J Lovejoy, ...
Proceedings of the National Academy of Sciences 117 (24), 13839-13845, 2020
High resolution time-course mapping of early transcriptomic, molecular and cellular phenotypes in Huntington’s disease CAG knock-in mice across multiple genetic backgrounds
SA Ament, JR Pearl, A Grindeland, J St. Claire, JC Earls, M Kovalenko, ...
Human molecular genetics 26 (5), 913-922, 2017
Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention
K Watanabe, T Wilmanski, C Diener, JC Earls, A Zimmer, B Lincoln, ...
Nature medicine 29 (4), 996-1008, 2023
Multiomic blood correlates of genetic risk identify presymptomatic disease alterations
M Wainberg, AT Magis, JC Earls, JC Lovejoy, N Sinnott-Armstrong, ...
Proceedings of the National Academy of Sciences 117 (35), 21813-21820, 2020
Manifestations of Alzheimer’s disease genetic risk in the blood are evident in a multiomic analysis in healthy adults aged 18 to 90
L Heath, JC Earls, AT Magis, SA Kornilov, JC Lovejoy, CC Funk, ...
Scientific reports 12 (1), 6117, 2022
Graphics processing unit implementations of relative expression analysis algorithms enable dramatic computational speedup
AT Magis, JC Earls, YH Ko, JA Eddy, ND Price
Bioinformatics 27 (6), 872-873, 2011
Identifying personalized metabolic signatures in breast cancer
P Baloni, W Dinalankara, JC Earls, TA Knijnenburg, D Geman, ...
Metabolites 11 (1), 20, 2020
AUREA: an open-source software system for accurate and user-friendly identification of relative expression molecular signatures
JC Earls, JA Eddy, CC Funk, Y Ko, AT Magis, ND Price
BMC bioinformatics 14, 1-7, 2013
Ageotypes: distinct biomolecular trajectories in human aging
BD Piening, J Lovejoy, JC Earls
Trends in pharmacological sciences 41 (5), 299-301, 2020
Determining relationships between risks for biological conditions and dynamic analytes
AT Magis, JC Earls, N Price
US Patent App. 16/215,723, 2019
Reply to" Precision medicine in the clouds"
AT Magis, JC Earls, G Glusman, GS Omenn, JC Lovejoy, ND Price, ...
Nature biotechnology 36 (8), 680-682, 2018
Manifestations of genetic risk for Alzheimer’s Disease in the blood: a cross-sectional multi-omic analysis in healthy adults aged 18-90+
L Heath, JC Earls, AT Magis, SA Kornilov, JC Lovejoy, CC Funk, ...
bioRxiv, 2021.03. 26.437267, 2021
Quantifying Wellness and Disease with Personal, Dense, Dynamic Data Clouds
JC Earls
University of Washington, 2020
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