Author

Steven Ron Cummings

Sutter HealthORCID 0000-0001-8808-260XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Assay:DNA methylation· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Daniel S. EvansiD· 2 shared Adam LiiD· 1 shared Albert V. SmithiD· 1 shared Alexander TeumeriD· 1 shared Álvaro AlonsoiD· 1 shared André Gerardus UitterlindeniD· 1 shared Anna F. DominiczakiD· 1 shared Annamaria Iorio· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Daniel S. EvansORCID

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3 papers

Recent·Most cited

NeuroscienceAging CellPeer-reviewedJun 1, 2026

Poorer physical function is associated with elevated spatial entropy in the aging brain network landscape

Clayton Connor McIntyre, Shannon M. O'Donnell, Robert G. Lyday…·Paul J. Laurienti

The paper assesses spatial entropy in brain network landscapes of older adults and finds higher entropy in specific regions correlates with worse physical function and higher BMI.

DOI 10.1111/acel.70596

humanbulk RNA-seq

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GenomicsNature AgingPeer-reviewedJan 13, 2025

Somatic mutation as an explanation for epigenetic aging

Zane Koch, Adam Li, Daniel S. Evans…·Trey E. Ideker

The paper shows that somatic mutations correlate with methylation changes and can predict age similarly to epigenetic clocks.

44 citationstop 1%

humanDNA methylation

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GeneticsbioRxivPreprintFeb 28, 2018

Discovering patterns of pleiotropy in genome-wide association studies

Jianan Zhana, CHARGE ECG Working Group, Jessica van Setten…·Steven Ron Cummings

This paper introduces SAPPHO methods to detect pleiotropy in GWAS by modeling shared patterns of genetic associations, finding 16 additional and 124 novel loci in meta-analysis.

4 citations

humanGWAS summary statistics

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