Author

Dhairya Patel

National Institutes of Health

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· 3 Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Assay:GWAS summary statistics· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Cornelis BlauwendraatiD· 5 shared Mike A. NallsiD· 5 shared Andrew SingletoniD· 4 shared Caroline B. PantazisiD· 3 shared Kimberley J. BillingsleyiD· 3 shared Mark CooksoniD· 3 shared Xylena ReediD· 3 shared Alexandra G. BeilinaiD· 2 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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5 shared papersGenomics

Cornelis BlauwendraatORCID

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Author profile →

5 papers

Recent·Most cited

The complete genome of the KOLF2.1J reference iPSC line

Pilar Álvarez Jerez, Arang Rhie, Juhyun Kim, Prajna Hebbar, Sagorika Nag, Dmitry Antipov, Sergey Koren, Erika Lara, Alexandra G. Beilina, Nancy Fisher Hansen, Charles Arber, Jimena Zulueta, Peter Wild Crea, Dhairya Patel, Glenn Hickey, , Cornelis Blauwendraat

The paper generates and characterizes a custom genome assembly for the KOLF2.1J iPSC line to improve genomic analysis accuracy compared to standard references.

bioRxiv · Mar 12, 2026 · PreprintGenomics

Dissecting the biological impact of GBA1 mutations using multi-omics in an isogenic setting

Pilar Álvarez Jerez, Peter Wild Crea, Dhairya Patel, Logan M. Glasstetter, Christiane Alvarez, Mary B. Makarious, Erika Lara, Yu Chen, Caroline B. Pantazis, Kimberly Paquette, Laksh Malik, Mike A. Nalls, Xylena Reed, Andrew Singleton, Kimberley J. Billingsley, , Cornelis Blauwendraat

The paper investigates the biological impact of GBA1 mutations using multi-omics in isogenic iPSC lines, finding limited overlapping results across cell types and suggesting RNA-based quantitation may not be optimal for characterizing GCase mechanisms.

bioRxiv · Jun 12, 2025 · PreprintGenomics

Assessing the lack of diversity in genetics research across neurodegenerative diseases: a systematic review of the GWAS Catalog and literature

Caroline Jonson, Kristin S. Levine, Julie Lake, Linnea Hertslet, Lietsel Jones, Dhairya Patel, Jeff Kim, Sara Bandrés‐Ciga, Nancy L. Terry, Ignacio Fernandez Mata, Cornelis Blauwendraat, Andrew Singleton, Mike A. Nalls, Jennifer S. Yokoyama, Hampton L. Leonard

This paper reviews 123 neurodegenerative disease GWAS and finds 82% focus on European ancestry, with non-European studies identifying fewer risk loci.

Alzheimer s & Dementia · Jun 21, 2024Peer-reviewedGenetic & Genomic Medicine

Polygenic Parkinson's disease genetic risk score as risk modifier of parkinsonism in Gaucher disease

Cornelis Blauwendraat, Nahid Tayebi, Elizabeth Geena Woo, Grisel J. Lopez, Luca Fierro, Marco Toffoli, Naomi Limbachiya, Derralynn A. Hughes, Vanessa Pitz, Dhairya Patel, Dan Vitale, Mathew J. Koretsky, Dena G. Hernandez, Raquel Real, Roy N. Alcalay, , Ellen Sidransky

The paper examines how a polygenic Parkinson's disease genetic risk score modifies the risk of parkinsonism in Gaucher disease patients.

Movement Disorders · Mar 3, 2023Peer-reviewedGenetic & Genomic Medicine

The Foundational data initiative for Parkinsons disease (FOUNDIN-PD): enabling efficient translation from genetic maps to mechanism

Elisângela Bressan, Xylena Reed, Vikas Bansal, Elizabeth D. Hutchins, Melanie M. Cobb, Michelle G. Webb, Eric B. Alsop, Francis P. Grenn, Anastasia Illarionova, Natalia Savytska, Ivo Violich, Stefanie Bröer, Noémia Fernandes, Ramiyapriya Sivakumar, Alexandra G. Beilina, , Cornelis Blauwendraat

The paper presents a multi-layered molecular dataset from iPSC-derived dopaminergic neurons to model Parkinson's disease genetic risk and provides a data browser for accessing these resources.

Cell Genomics · Feb 6, 2023Peer-reviewedGenomics