Author

Rebekah Ryanne Wu

Duke UniversityORCID 0000-0002-7655-3096Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Devika Dhamija· 2 shared Michael Vaclav HolmesiD· 2 shared Noura S. Abul‐HusniD· 2 shared Adam AutoniD· 1 shared Alan Kwong· 1 shared Alex Moran· 1 shared Alison Chubb· 1 shared Aly Azeem KhaniD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Devika Dhamija

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3 papers

Recent·Most cited

Genetic & Genomic MedicineThe Pharmacogenomics JournalPeer-reviewedAug 1, 2026

Large-scale analysis demonstrates the influence of CYP2C19 genotype on specific SSRI side effects

Chris Q. Eijsbouts, Yunxuan Jiang, James R. Ashenhurst…·Rebekah Ryanne Wu

The paper analyzes the impact of CYP2C19 genotype on SSRI side effects and discontinuation rates in a large sample of individuals.

2 citationstop 3%

humanGWAS summary statistics

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Genetic & Genomic MedicineHuman Genetics and Genomics AdvancesPeer-reviewedDec 8, 2025

Viewing Direct-to-Consumer Genetic Test Results for Depression Risk Is Psychologically Well Tolerated: Evidence from a Longitudinal Equivalence Study

Rebecca M. K. Berns, Devika Dhamija, Daniella Coker…·Noura S. Abul‐Husn

This study examines the psychological impact of viewing depression polygenic risk scores (PRS) in a real-world setting, finding no significant difference in depression or anxiety symptoms between those who viewed their results and those who did not.

DOI 10.1016/j.xhgg.2025.100553

humanGWAS summary statistics

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GenomicsGenome MedicinePeer-reviewedJan 7, 2021

Family History Assessment Significantly Enhances Delivery of Precision Medicine in the Genomics Era

Yasmin M. Bylstra, Weng Khong Lim, Sylvia Kam…·Patrick B. O. Tan

This study shows that family history collection improves the detection of pathogenic variants in genomic data, enhancing precision medicine by identifying high-risk individuals.

43 citationstop 5%

humanwhole-genome sequencing

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