Author

E. Warwick Daw

Washington University in St. Louis

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· 3 Genetic & Genomic Medicine· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Approach:statistical model· 6 Research Focus:gene regulatory network inference· 3 Assay:bulk RNA-seq· 2 Research Focus:fine-mapping· 2 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Approach:Bayesian inference· 1

Frequent Co-Authors

Michael A. ProvinceiD· 5 shared Bharat ThyagarajaniD· 3 shared Ping AniD· 3 shared Gary J. PattiiD· 2 shared Jason A. AnemaiD· 2 shared Joseph M. ZmudaiD· 2 shared Kaare ChristenseniD· 2 shared Mary K. WojczynskiiD· 2 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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5 shared papersGenetics

Michael A. ProvinceORCID

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Author profile →

6 papers

Recent·Most cited

Evidence of Epistatic Interactive Effects of HK1 and GCK Genes on Circulating Hemoglobin A1c Levels

Lihua Wang, Joseph H Lee, Bharat Thyagarajan, Anatoliy I. Yashin, E. Warwick Daw, Thomas T. Perls, Kaare Christensen, Joseph M. Zmuda, Michael A. Province, Ping An

The paper identifies epistatic interactions between HK1 and GCK genes affecting HbA1c levels using Bayesian methods and confirms findings in independent studies.

medRxiv · May 3, 2026 · PreprintGenetic & Genomic Medicine

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

Gene-Embedded Multi-Modal Networks for Population-Scale Multi-Omics Discovery

Vaha Akbary Moghaddam, Sandeep Acharya, Michaela Schwaiger-Haber, Shu Liao, Wooseok J. Jung, Bharat Thyagarajan, Leah P. Shriver, E. Warwick Daw, Nancy L. Saccone, Ping An, Michael R. Brent, Gary J. Patti, Michael A. Province

GEM-Net constructs multi-modal gene networks using harmonized omics data from the Long Life Family Study, revealing a microbiome-immune axis linked to metabolic health.

bioRxiv · Jan 22, 2025 · PreprintSystems Biology

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

A Novel Gene ARHGAP44 for Longitudinal Changes in Glycated Hemoglobin (HbA1c) in Subjects without Type 2 Diabetes: Evidence from the Long Life Family Study (LLFS) and the Framingham Offspring Study (FOS)

Siyu Wang, Petra A. Lenzini, Bharat Thygarajan, Joseph Hyungwoo Lee, Badri Narayan Vardarajan, Anatoli I. Yashin, Iva Miljkovic, E. Warwick Daw, Shiow J. Lin, Gary J. Patti, Michael R. Brent, Joseph M. Zmuda, Thomas T. Perls, Kaare Christensen, Michael A. Province, Ping An

The paper identifies ARHGAP44 as a novel gene associated with longitudinal changes in HbA1c in non-diabetic individuals using linkage and sequence analysis from two studies.

bioRxiv · May 16, 2024 · PreprintGenetics

A Saturated Map of Common Genetic Variants Associated with Human Height from 5.4 Million Individuals of Diverse Ancestries

Loïc Yengo, Sailaja Vedantam, Eirini Marouli, Julia Sidorenko, Eric Bartell, Saori Sakaue, Marielisa Graff, Anders Ulrik Eliasen, Yunxuan Jiang, Sridharan Raghavan, Jenkai Miao, Joshua D. Arias, Ronen E. Mukamel, Cassandra Nichole Spracklen, Xianyong Yin, , Thomas Folkmann Hansen

This study identifies 12,111 SNPs associated with height from 5.4 million individuals, explaining most common SNP-based heritability and showing ancestry-specific prediction accuracy.

bioRxiv · Jan 7, 2022 · PreprintGenetics