Author

Daniel Chasman

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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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:statistical model· 2 Approach:deep learning· 1 Assay:GWAS summary statistics· 1 Research Focus:polygenic risk· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Adel El Boueiz· 1 shared Alexander GuseviD· 1 shared Allison Ashley-Koch· 1 shared Allison E. Ashley‐KochiD· 1 shared Álvaro AlonsoiD· 1 shared Amber Beitelshees· 1 shared April P. CarsoniD· 1 shared Benjamin Neale· 1 shared

Activity by Year

2015-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Adel El Boueiz

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Local ancestry-aware genome-wide meta-analysis uncovers novel genetic loci for sickle cell disease nephropathy

Melanie E. Garrett, Seyed Mehdi Nouraie, Roberto F. Machado, Victor R. Gordeuk, Mark T. Gladwin, Marilyn J. Telen, Allison E. Ashley‐Koch, Gonçalo Abecasis, François Aguet, Christine Albert, Laura Almasy, Álvaro Alonso, Seth Ament, Peter Anderson, Pramod Anugu, , Mao Fu

This paper performs a local ancestry-aware GWAS on SCD cohorts to identify novel genetic loci associated with eGFR, uncovering regions linked to inflammation, ECM integrity, and other pathways relevant to SCD nephropathy.

Blood Advances · Aug 19, 2026Peer-reviewedGenetic & Genomic Medicine

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni Vilhjalmsson, Jian Yang, Hilary Kiyo Finucane, Alexander Gusev, Sara Lindstrom, Stephan Ripke, Giulio Genovese, Po-Ru Loh, Gaurav Bhatia, Ron Do, Tristian Hayeck, Hong-Hee Won, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study the Discovery, Sekar Kathiresan, , Nick J Patte

This paper introduces LDpred, a method that improves polygenic risk score accuracy by modeling linkage disequilibrium, showing increased R2 values in schizophrenia and multiple sclerosis datasets.

The American Journal of Human Genetics · Oct 1, 2015Peer-reviewedBioinformatics