Author

Rong Chen

Sema4 (United States)ORCID 0000-0001-6322-0340Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Rong Chen2 papers

Biology Disciplines

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Genetic & Genomic Medicine· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Li LiiD· 2 shared Alan Barry Copperman· 1 shared Andrew Maxwell TonkiniD· 1 shared Anne M. MurrayiD· 1 shared Ashley H. Birch· 1 shared Benjamin Scott GlicksbergiD· 1 shared Bryn D. WebbiD· 1 shared Bryony A. ThompsoniD· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersGenetic & Genomic Medicine

Li LiORCID

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Author profile →

3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintSep 2, 2022

Real-world genetic screening with molecular ancestry supports comprehensive pan-ethnic carrier screening

Ryan A. Shewcraft, Mitchell K. Higashi, Yeting Zhang…·Eric E. Schadt

The paper evaluates a comprehensive pan-ethnic carrier screening panel across 282 monogenic diseases in 397,540 patients, showing it identifies 10-times more at-risk carrier couples than a two-gene panel and provides cost savings.

1 citation

humanGWAS summary statistics

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Genetic & Genomic MedicinemedRxivPreprintOct 22, 2019

Resilience to dominant genetic disease in the healthy elderly

Paul A Lacaze, Robert Sebra, Moeen Riaz…·Eric Schadt

The paper screens healthy elderly individuals to identify those resilient to genetic diseases despite high genetic risk, finding 141 individuals without associated disease despite pathogenic variants.

DOI 10.1101/19006932

humanwhole-exome sequencing

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BioinformaticsbioRxivPreprintOct 22, 2019

Identification and genetic validation of drug-comorbidity interactions in type 2 diabetes using data-driven disease trajectory analysis

Osamu Ichikawa, Benjamin Scott Glicksberg, Noga C. Minsky…·Joel T. Dudley

This study identifies drug-comorbidity interactions in T2D using EMR data and genetic validation, finding protective effects of certain drugs against comorbidities.

DOI 10.1101/814392

humanelectronic health records

𝕏 PostBluesky