Author

Jeffrey C. Edberg

University of Alabama at Birmingham

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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Genetics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:fine-mapping· 2 Assay:GWAS summary statistics· 2 Research Focus:GWAS / association mapping· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Peter K. GregerseniD· 2 shared Robert P. KimberlyiD· 2 shared S. Louis BridgesiD· 2 shared Akari SuzukiiD· 1 shared Akira Murasawa· 1 shared Alex J. MacGregoriD· 1 shared AMY SANGHAVI SHAHiD· 1 shared Andrea K. SteckiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Peter K. GregersenORCID

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Author profile →

3 papers

Recent·Most cited

Trans-ancestry genome-wide association study identifies novel genetic mechanisms in rheumatoid arthritis

Kazuyoshi Ishigaki, Saori Sakaue, Chikashi C. Terao, Yang Luo, Kyuto Sonehara, Kensuke Yamaguchi, Tiffany Amariuta, Chun Lai Too, Vincent A. Laufer, Ian C. Scott, Sébastien Viatte, Meiko Takahashi, Koichiro Ohmura, Akira Murasawa, Motomu Hashimoto, , Soumya Raychaudhuri

This study conducts a trans-ancestry GWAS of rheumatoid arthritis, identifying 124 loci, 34 novel, and shows improved polygenic risk score performance across populations.

medRxiv · Dec 1, 2021 · PreprintGenetic & Genomic Medicine

Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes

Catherine C. Robertson, Jamie R. J. Inshaw, Suna Önengüt-Gümüşcü, Wei‐Min Chen, David Flores Santa Cruz, Hanzhi Yang, Antony J. Cutler, Daniel J. M. Crouch, Emily Farber, S. Louis Bridges, Jeffrey C. Edberg, Robert P. Kimberly, Jane Hoyt Buckner, Panos Deloukas, Jasmin Divers, , Stephen S. Rich

This study identifies causal variants, cells, genes, and drug targets for type 1 diabetes using large-scale genetic and functional genomic analyses.

Nature Genetics · Jun 14, 2021Peer-reviewedGenetics

Identifying rare, medically-relevant genetic variation in a diverse population: opportunities and pitfalls

Kevin M. Bowling, Michelle L. Thompson, David E. Gray, James M.J. Lawlor, Kelly Williams, Kelly M. East, Whitley V. Kelley, Irene Moss, Devin Absher, E. Christopher Partridge, Anna Hurst, Jeffrey C. Edberg, Gregory S. Barsh, Bruce R. Korf, Gregory M. Cooper

The paper evaluates genomic screening in Alabama, finding 51% of identified variants were false positives, with higher rates in African-Americans due to alternative alleles.

bioRxiv · May 28, 2020 · PreprintGenetics