Author

Lawrence M. Dolan

Cincinnati Children's Hospital Medical CenterORCID 0000-0002-5359-0636Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Research Focus:polygenic risk· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Catherine PihokeriD· 2 shared Adolfo CorreaiD· 1 shared Alanna C. MorrisoniD· 1 shared Alex P. ReineriD· 1 shared Alisa Knodle ManningiD· 1 shared Allan R LinnebergiD· 1 shared Amanda Elliott· 1 shared AMY SANGHAVI SHAHiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Catherine PihokerORCID

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2 papers

Recent·Most cited

The impact of ancestry on performance of type 1 diabetes genetic risk scores: high discrimination performance is maintained in African ancestry populations, but population specific thresholds may improve risk prediction

Steven Squires, Jean-Claude Njabou Katte, Dana Dabelea, Catherine Pihoker, Jasmin Divers, Eugène Sobngwi, Moffat J. Nyirenda, Raymond J. Kreienkamp, Angela D. Liese, AMY SANGHAVI SHAH, Lawrence M. Dolan, Kristi Reynolds, MARIA JOSE REDONDO, William Hagopian, Segun Fatumo, , Richard A. Oram

Diabetes Care · Jan 16, 2026Peer-reviewedGenetic & Genomic Medicine

Genetic discovery and translational decision support from exome sequencing of 20,791 type 2 diabetes cases and 24,440 controls from five ancestries

Jason A. Flannick, Josep Maria Mercader, Christian Fuchsberger, Miriam S. Udler, Anubha Mahajan, Jennifer Wessel, Tanya M. Teslovich, Lizz Caulkins, Ryan Koesterer, Thomas W. Blackwell, Eric Boerwinkle, Jennifer A. Brody, Ling Chen, Siying Chen, Cecilia Contreras-Cubas, , Markku Laakso

This study identifies rare genetic variants associated with type 2 diabetes using exome sequencing of 20,791 cases and 24,440 controls, and provides a Bayesian framework to improve variant prioritization.

bioRxiv · Jul 31, 2018 · PreprintGenetics