Author

David L. Thomas

Johns Hopkins UniversityORCID 0000-0002-0749-925XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:graph neural network· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Candelaria VergaraiD· 2 shared Chloe L. ThioiD· 2 shared Dylan DucheniD· 2 shared Genevieve L. WojcikiD· 2 shared Priya DuggaliD· 2 shared Nilanjan ChatterjeeiD· 1 shared Prosenjit KunduiD· 1 shared Steven J. ClipmaniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 26 mutual co-author links

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2 shared papersGenomics

Candelaria VergaraORCID

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2 papers

Recent·Most cited

GenomicsPLoS ONEPeer-reviewedApr 26, 2024

A hepatitis B virus (HBV) sequence variation graph improves sequence alignment and sample-specific consensus sequence construction for genetic analysis of HBV

Dylan Duchen, Steven J. Clipman, Candelaria Vergara…·Genevieve L. Wojcik

This paper shows that using a genome graph instead of a linear reference improves HBV sequence alignment and sample-specific consensus sequence construction.

4 citations

viruswhole-genome sequencing

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Genetic & Genomic MedicinemedRxivPreprintJul 14, 2022

Pathogen exposure misclassification can bias association signals in GWAS of infectious diseases when using population-based common controls

Dylan Duchen, Candelaria Vergara, Chloe L. Thio…·Priya Duggal

This study shows that using population-based common controls in GWAS of infectious diseases can lead to biased effect estimates and spurious associations due to unaccounted pathogen exposure.

1 citation

humanGWAS summary statistics

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