Author

Jessica Mauer

Baylor College of Medicine

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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Genomics· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:whole-genome sequencing· 3 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Elizabeth G. AtkinsoniD· 3 shared Adam X. MaihoferiD· 2 shared Caroline M. NievergeltiD· 2 shared Clement C.H. ZaiiD· 2 shared Adam Maihofer· 1 shared Clement Zai· 1 shared Estela M. BruxeliD· 1 shared Grace TiaoiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersGenomics

Elizabeth G. AtkinsonORCID

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3 papers

Recent·Most cited

Tractor Workflow Pipeline: A Scalable Nextflow Framework for Local Ancestry-Aware Genome-Wide Association Studies

Nirav Shah, Taotao Tan, Jessica Mauer, Yi-Sian Lin, Adam X. Maihofer, Clement C.H. Zai, PGC-PTSD ancestry working group, Elizabeth G. Atkinson, Marcos Santoro, Caroline M. Nievergelt, Adam Maihofer, Clement Zai, M du Plessis, Jessica Honorato Mauer, Shareefa Dalvie, , Liriel Almodobar

The paper introduces a Nextflow workflow for local ancestry-aware GWAS, demonstrating its utility in analyzing admixed individuals and identifying ancestry-specific genetic associations.

Bioinformatics · Mar 14, 2026Peer-reviewedGenomics

Improved Allele Frequencies in gnomAD through Local Ancestry Inference

Pragati Kore, Michael W. Wilson, Grace Tiao, Katherine R. Chao, Philip W. Darnowsky, Nicholas A. Watts, Jessica Mauer, Samantha M. Baxter, Heidi L. Rehm, Mark J. Daly, Konrad J. Karczewski, Elizabeth G. Atkinson

This paper improves allele frequency estimates in gnomAD by applying local ancestry inference to admixed populations, revealing significant frequency differences that could affect clinical interpretation.

Nature Communications · Oct 6, 2025Peer-reviewedGenomics

Characterizing features affecting local ancestry inference performance in admixed populations

Jessica Mauer, Nirav N. Shah, Adam X. Maihofer, Clement C.H. Zai, Sintia Iole Belangero, Caroline M. Nievergelt, Marcos Leite Santoro, Elizabeth G. Atkinson

This study evaluates LAI performance in admixed populations, finding reduced accuracy for Amerindigenous tracts and highlighting the importance of reference panel matching.

The American Journal of Human Genetics · Jan 2, 2025Peer-reviewedGenomics