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
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
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
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
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
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), 1-7, 2013
Identifying personalized metabolic signatures in breast cancer
P Baloni, W Dinalankara, JC Earls, TA Knijnenburg, D Geman, ...
Metabolites 11 (1), 20, 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
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
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, 1-13, 2023
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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