Author

Pamila Brar

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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Genomics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Andrew M. KahniD· 2 shared C. Thomas Caskey· 2 shared David S. Karow· 2 shared Hung‐Chun YuiD· 2 shared J. Craig VenteriD· 2 shared Thomas J. Jönsson· 2 shared Ying‐Chen Claire HouiD· 2 shared Amalio TelentiiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Andrew M. KahnORCID

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Author profile →

2 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

Precision Medicine Screening Using Whole Genome Sequencing And Advanced Imaging To Identify Disease Risk In Adults

Bradley A. Perkins, C. Thomas Caskey, Pamila Brar, Eric Dec, David S. Karow, Andrew M. Kahn, Ying‐Chen Claire Hou, Naisha Shah, Debbie Boeldt, Erin Coughlin, Gabby Hands, Victor P. Lavrenko, Hung‐Chun Yu, Andrea Procko, Julia Appis, , J. Craig Venter

This paper screens adults using whole genome sequencing and imaging to detect age-related chronic disease risks, finding unrecognized diseases in 8% of participants and genomic correlations in 25%.

Proceedings of the National Academy of Sciences · Mar 19, 2018Peer-reviewedGenomics