Author

G. K. Pathak

Icahn School of Medicine at Mount SinaiORCID 0000-0002-1844-3550Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:fine-mapping· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

Agnieszka D’Antonio‐ChronowskaiD· 1 shared Ahmadreza NiavaraniiD· 1 shared Albert TenesaiD· 1 shared Alexander T. WilliamsiD· 1 shared Alexandre W Pereira· 1 shared Ali SobhiD· 1 shared Altaf AliiD· 1 shared Amr Mohamed YasseniD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Agnieszka D’Antonio‐ChronowskaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Genomic Architecture of Migraine: A Multi ancestry GWAS Meta analysis of 2.5 Million Participants

Cassie Overstreet, Marco Galimberti, Kazi Tanvir Hasan, S L Beck, Jack Hirsch, Sanjeev Sariya, Brian R. Ferolito, Yu Zhou, Yingzhe Zhang, Ellen I. Weinheimer, AnnMarie Lacobelle, Yaira Z. Nuñez, the VA Million Veteran Program, Henry R. Kranzler, J. Michael Gaziano, , Joel E. Gelernter

This study conducts a multi-ancestry GWAS meta-analysis of 2.5 million participants to identify genetic variants associated with migraine and link them to biological pathways and therapeutic targets.

medRxiv · Aug 31, 2026 · PreprintGenetic & Genomic Medicine

Insights into genetic factors contributing to variability in SARS-CoV-2 susceptibility and COVID-19 disease severity

Matteo D’Antonio, Jennifer Nguyen, Timothy D. Arthur, Hiroko Matsui, Agnieszka D’Antonio‐Chronowska, Kelly A. Frazer, Benjamin M. Neale, Mark J. Daly, Andrea Ganna, Christine R. Stevens, G. K. Pathak, Shea J. Andrews, Masahiro Kanai, Mattia Cordioli, Juha M Karjalainen, , Rasoul Aliannejad

This study identifies genetic loci associated with SARS-CoV-2 susceptibility and disease severity using GWAS and colocalization, and links them to eQTLs in various tissues.

Cell Reports · Nov 1, 2021Peer-reviewedGenetic & Genomic Medicine