Author

Sanjeev Sariya

Columbia UniversityORCID 0000-0002-3104-2348Unclaimed ORCID profile · follow to get notified of new preprints

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 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Research Focus:fine-mapping· 1 Research Focus:genome assembly· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Adam M. BrickmaniD· 2 shared Giuseppe TostoiD· 2 shared Jennifer Jaie ManlyiD· 2 shared Alexa BeiseriD· 1 shared Alexandre W Pereira· 1 shared AnnMarie Lacobelle· 1 shared Antonio Spagnolo‐AllendeiD· 1 shared Badri Narayan VardarajaniD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Adam M. BrickmanORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintAug 31, 2026

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

Cassie Overstreet, Marco Galimberti, Kazi Tanvir Hasan…·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.

DOI 10.64898/2026.08.28.26361638

humanGWAS summary statistics

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Genetic & Genomic MedicineJournal of the American Heart AssociationPeer-reviewedDec 1, 2023

Chromosome 10q24.32 Variants Associate with Brain Arterial Diameters in Diverse Populations: A Genome-Wide Association Study

Minghua Liu, Farid Khasiyev, Sanjeev Sariya…·José Gutierrez

This study identifies three novel genetic loci associated with brain arterial diameters through a genome-wide association analysis across diverse populations.

11 citations

humanGWAS summary statistics

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BioinformaticsFrontiers in GeneticsPeer-reviewedApr 3, 2019

Rare variants imputation in admixed populations: Comparison across reference panels and bioinformatics tools.

Sanjeev Sariya, Joseph Hyungwoo Lee, Richard P Mayeux…·Giuseppe Tosto

This study compares imputation accuracy for rare and ultra-rare variants in an admixed Caribbean Hispanic population using different reference panels and tools, finding that larger reference panels improve imputation quality.

27 citations

humanwhole-exome sequencing

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