Author

Roy Elzur

Broad InstituteORCID 0000-0002-6474-9876Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:fine-mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:polygenic risk· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Hilary K. FinucaneiD· 2 shared Masahiro KanaiiD· 2 shared Agustin Rojas‐MuñoziD· 1 shared Alexander G. IoannidisiD· 1 shared Andrea GannaiD· 1 shared Anita PanditiD· 1 shared Anne RichmondiD· 1 shared Anurag VermaiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Hilary K. FinucaneORCID

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2 papers

Recent·Most cited

Improving fine-mapping by modeling infinitesimal effects

Ran Cui, Roy Elzur, Masahiro Kanai, Jacob C. Ulirsch, Omer Weissbrod, Mark J. Daly, Benjamin M. Neale, Zhou Fan, Hilary K. Finucane

This paper introduces improved fine-mapping methods that model infinitesimal effects, showing better calibration and increased PRS accuracy for causal variant identification in complex traits.

Nature Genetics · Nov 30, 2023Peer-reviewedBioinformatics

Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

Masahiro Kanai, Roy Elzur, Wei Zhou, Kuan-Han Wu, Humaira Rasheed, Kristin Tsuo, Jibril B Hirbo, Ying Wang, Arjun Bhattacharya, Huiling Zhao, Shinichi Namba, Ida L. Surakka, Brooke N. Wolford, Valeria Lo Faro, Esteban A. Lopera-Maya, , Tom R. Gaunt

This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.

Cell Genomics · Nov 4, 2022Peer-reviewedGenetic & Genomic Medicine