Author

Eric Dec

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

Click to filter author papers

Genomics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:differential expression· 1 Assay:imaging· 1 Assay:metabolomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Amalio TelentiiD· 2 shared C. Thomas Caskey· 2 shared J. Craig VenteriD· 2 shared Naisha ShahiD· 2 shared Anders Martin DaleiD· 1 shared Andrea Procko· 1 shared Andrew M. KahniD· 1 shared Axel BernaliD· 1 shared

Activity by Year

2016-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenomics

Amalio TelentiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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

Identification of misclassified ClinVar variants using disease population prevalence

Naisha Shah, Ying-Chen Claire Hou, Hung-Chun Yu, Rachana Sainger, Eric Dec, Brad Perkins, C. Thomas Caskey, J. Craig Venter, Amalio Telenti

The paper identifies misclassified variants in ClinVar by analyzing population prevalence and genetic risk patterns in whole genome sequencing data.

bioRxiv · Sep 15, 2016Genomics