Author

Laura Scott

University of Michigan

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

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Approach:statistical model· 2 Assay:whole-exome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Assay:electronic health records· 1 Organism:human· 1 Assay:snRNA-seq· 1

Frequent Co-Authors

Michael BoehnkeiD· 2 shared A. M. McIntoshiD· 1 shared Aarno V. PalotieiD· 1 shared Adeniran OkewoleiD· 1 shared Aiden Peter CorviniD· 1 shared Akena Dickens· 1 shared Akira SawaiD· 1 shared Alex J. KopelowicziD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetics

Michael BoehnkeORCID

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2 papers

Recent·Most cited

Analysis of Rare Coding Variation Identifies New Genetic Contributors to Schizophrenia

Julia Sealock, Connor Dowd, Calwing Liao, Robert Ye, Daniel P. Howrigan, F. Kyle Satterstrom, Chiara Auwerx, Soyeon Kim, Cong Huai, Lin He, Melkam Alemayehu Kebede, Stella Gichuru, Rehema M. Mwende, Charles R. J. C. Newton, Nastassja Koen, , Akena Dickens

Ultra-rare damaging coding variants in 87,959 schizophrenia cases and 150,587 controls implicate 40 genes (16 exome-wide, 24 at 5% FDR), half overlapping autism, developmental delay or bipolar genes.

bioRxiv · Sep 21, 2026 · PreprintGenetics✦ In-depth digest

Multi-SKAT: General framework to test multiple phenotype associations of rare variants

Diptavo Dutta, Laura Scott, Michael Boehnke, Seunggeun Lee

Multi-SKAT improves power to detect rare variant associations with multiple phenotypes while maintaining type I error rate using a general framework with kernel matrices and random effects.

bioRxiv · Jul 30, 2018 · PreprintGenetics