Author

Jason A. Anema

Washington University in St. LouisORCID 0000-0002-1529-8968Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Mary K. WojczynskiiD· 3 shared Michael A. ProvinceiD· 3 shared E. Warwick Daw· 2 shared Karen SchwanderiD· 2 shared Shiow Jiuan Lin· 2 shared Vaha Akbary MoghaddamiD· 2 shared A SandeepiD· 1 shared Bharat ThyagarajaniD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersGenomics

Mary K. WojczynskiORCID

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3 papers

Recent·Most cited

Identification of novel protective loci for executive function using the trail making test part B in the Long Life Family Study

Lihua Wang, Katherine Tanner, Stacy L. Andersen, Stephanie Cosentino, Vaha Akbary Moghaddam, E. Warwick Daw, Jason A. Anema, Shiow Jiuan Lin, A Sandeep, Michael A. Province, Mary K. Wojczynski

This study identifies novel protective genetic variants associated with TMT-B performance using a family-based GWLS approach in the Long Life Family Study.

bioRxiv · Jul 8, 2025 · PreprintGenomics

A Paradigm For Calling Sequence In Families: The Long Life Family Study

E. Warwick Daw, Jason A. Anema, Karen Schwander, Shiow Jiuan Lin, Lihua Wang, Mary K. Wojczynski, Bharat Thyagarajan, Nathan O. Stitziel, Michael A. Province

The paper describes a system for quality assurance of whole genome sequence data in family studies, focusing on identifying germline variants and improving call accuracy through family-based filters.

bioRxiv · May 23, 2024 · PreprintGenetics

Multi-omics Integration Identifies Genes Influencing Traits Associated with Cardiovascular Risks: The Long Life Family Study

Sandeep Acharya, Shu Liao, Wooseok J. Jung, Yu Sung Kang, Vaha Akbary Moghaddam, Mary Furlan Feitosa, Mary K. Wojczynski, Shiow J. Lin, Jason A. Anema, Karen Schwander, Jeff O Connell, Michael A. Province, Michael R. Brent

The paper integrates multi-omics data to identify genes influencing cardiovascular risk traits in the Long Life Family Study, finding 64 significant genes and replicating 29 in the Framingham Heart Study.

medRxiv · Mar 4, 2024 · PreprintGenetic & Genomic Medicine