Author

Gary C. Curhan

Brigham and Women's HospitalORCID 0000-0001-7386-6305Unclaimed 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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Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:Bayesian inference· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Brenda Cabrera‐MendozaiD· 2 shared Dóra KolleriD· 2 shared Flavio De AngelisiD· 2 shared Gita A. PathakiD· 2 shared Renato A PolimantiiD· 2 shared Sharon G. CurhaniD· 2 shared Adam P. MeccaiD· 1 shared Adam X. MaihoferiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Brenda Cabrera‐MendozaORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 21, 2026

Vritra: gene-specific reference construction for species-resolved functional profiling of metagenomic and metatranscriptomic data

Boyan Zhou, Menghan Liu, Gary C. Curhan…·Huilin Li

Vritra constructs gene-specific references for metagenomic and metatranscriptomic data to enable species-resolved functional profiling and uncover gene-taxa associations.

DOI 10.64898/2026.09.17.752478

metagenomicsstatistical model

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Genetic & Genomic MedicineBrainPeer-reviewedMar 8, 2024

Sex differences in the pleiotropy of hearing difficulty with imaging-derived phenotypes: a brain-wide investigation.

Jun He, Brenda Cabrera‐Mendoza, Flavio De Angelis…·Renato A Polimanti

This study investigates sex differences in the genetic pleiotropy between hearing difficulty and brain imaging-derived phenotypes using large-scale GWAS data and multiple analytical methods.

16 citationstop 4%

humanimaging

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Genetic & Genomic MedicinemedRxivPreprintJan 26, 2022

Sex differences, cross-ancestry generalizability, and noise-smoking interactions in the polygenic architecture of hearing loss in adults

Flavio De Angelis, Oana Alina Zeleznik, Frank R. Wendt…·Renato A Polimanti

This study identifies 54 risk loci for hearing loss in adults across multiple cohorts, revealing sex differences, ancestry-specific polygenic risks, and interactions with environmental factors like noise and smoking.

DOI 10.1101/2022.01.26.22269898

humanGWAS summary statistics

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