Author

Jeremy M. Silverman

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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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:polygenic risk· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Douglas F. LevinsoniD· 2 shared Farooq Amin M. D· 2 shared Aarno V. PalotieiD· 1 shared Aaron R. WoleniD· 1 shared Abraham ReichenbergiD· 1 shared Aiyi LiuiD· 1 shared Alan R. SandersiD· 1 shared Alexander L. RichardsiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Douglas F. LevinsonORCID

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2 papers

Recent·Most cited

Schizophrenia-associated somatic copy number variants from 12,834 cases reveal contribution to risk and recurrent, isoform-specific NRXN1 disruptions

Eduardo A. Maury, Maxwell A. Sherman, Giulio Genovese, Thomas G. Gilgenast, Tushar Kamath, S.J. Burris, Prashanth Rajarajan, Erin K. Flaherty, Schahram Akbarian, Andrew J. Chess, Steven A. McCarroll, Po‐Ru Loh, Jennifer E. Phillips‐Cremins, Kristen Brennand, Evan Z. Macosko, , Brandon K. Wormley

This study identifies somatic copy number variants (sCNVs) in schizophrenia cases, revealing their contribution to risk and specific NRXN1 disruptions.

Cell Genomics · Jul 6, 2023Peer-reviewedGenetic & Genomic Medicine

SummaryAUC: a tool for evaluating the performance of polygenic risk prediction models in validation datasets with only summary level statistics

Lei Song, Aiyi Liu, Jianxin Shi, Pablo V. Gejman, Alan R. Sanders, Jubao Duan, Claude Robert Cloninger, Dragan M. Švrakić, Nancy G. Buccola, Douglas F. Levinson, Bryan J. Mowry, Robert Freedman, Ann Olincy M. D, Farooq Amin M. D, Donald W. Black, , William Byerley

SummaryAUC approximates the AUC of polygenic risk scores using only summary statistics from validation datasets, enabling efficient evaluation of PRS models.

Bioinformatics · Mar 22, 2019Peer-reviewedBioinformatics