Author

Lori A. Napier

Human Longevity (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Assay:imaging· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

C. Thomas Caskey· 3 shared Christine Leon Swisher· 3 shared Elizabeth T. CirulliiD· 3 shared Ewen F. Kirkness· 3 shared J. Craig VenteriD· 3 shared Andrew M. KahniD· 2 shared David S. Karow· 2 shared Hung‐Chun YuiD· 2 shared

Activity by Year

2018-2018 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

C. Thomas Caskey

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Author profile →

3 papers

Recent·Most cited

Precision Medicine Advancements Using Whole Genome Sequencing, Noninvasive Whole Body Imaging, and Functional Diagnostics

Ying‐Chen Claire Hou, Hung‐Chun Yu, Rick Martin, Natalie M. Schenker-Ahmed, Michael A. Hicks, Elizabeth T. Cirulli, Isaac V. Cohen, Thomas J. Jönsson, Robyn Heister, Lori A. Napier, Christine Leon Swisher, Saints Dominguez, Haibao Tang, Weizhong Li, Jaime J. Barea, , C. Thomas Caskey

This study evaluates a precision health platform integrating whole genome sequencing and noninvasive clinical assessments in 1190 healthy participants, identifying significant genetic and phenotypic findings linked to disease risk.

bioRxiv · Dec 17, 2018 · PreprintGenomics

Profound perturbation of the human metabolome by obesity

Elizabeth T. Cirulli, Lining Guo, Christine Leon Swisher, Naisha Shah, Lei Huang, Lori A. Napier, Ewen F. Kirkness, Tim D. Spector, C. Thomas Caskey, Bernard Thorens, J. Craig Venter, Amalio Telenti

This study identifies metabolic and genetic signatures of obesity using metabolome analysis and whole genome sequencing in twin and volunteer cohorts, revealing clinically meaningful heterogeneity.

Cell Metabolism · Oct 11, 2018Peer-reviewedGenetics

Unsupervised integration of multimodal dataset identifies novel signatures of health and disease

Ilan Shomorony, Elizabeth T. Cirulli, Lei Huang, Lori A. Napier, Robyn Heister, Michael A. Hicks, Isaac V. Cohen, Hung‐Chun Yu, Christine Leon Swisher, Natalie M. Schenker-Ahmed, Weizhong Li, Andrew M. Kahn, Tim D. Spector, C. Thomas Caskey, J. Craig Venter, , Naisha Shah

The paper integrates multimodal health data to identify novel biomarker signatures for health and disease, showing better predictive power for diabetes and hypertension than traditional biomarkers.

bioRxiv · Oct 3, 2018 · PreprintBioinformatics