Author

Erica P. Gunderson

Kaiser PermanenteORCID 0000-0002-2039-1964Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Ahmad VaeziD· 1 shared Ajka PribisaliciD· 1 shared Ajuna AzadiD· 1 shared Andrea GannaiD· 1 shared Andrea GelemanovićiD· 1 shared Andreea ObersterescuiD· 1 shared Andres MetspaluiD· 1 shared Anna MorganiD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenetics

Ahmad VaezORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJan 2, 2026

Genetic survey of biomarkers across pregnancy identifies pregnancy-specialized immune regulation

Merve Çakır, Michela Traglia, Stacey Alexeeff…·Lauren A. Weiss

The paper conducts a genetic analysis of immune biomarkers across pregnancy timepoints, identifying heritable and genome-wide significant associations and highlighting timepoint-specific and pregnancy-unique findings.

DOI 10.64898/2025.12.31.25343052

humanGWAS summary statistics

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedAug 23, 2023

metGWAS 1.0: An R workflow for network-driven over-representation analysis between independent metabolomic and meta-genome wide association studies

Saifur Rahman Khan, Andreea Obersterescu, Erica P. Gunderson…·Brian Cox

metGWAS 1.0 statically evaluates independent metabolomics and GWAS studies to identify novel metabolite-gene associations using hypergeometric testing.

1 citation

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsNature Human BehaviourPeer-reviewedMar 2, 2023

Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus.

Iain Mathieson, Felix R. Day, Nicola Barban…·Vallari Shukla

This study identifies 43 genomic loci associated with reproductive success in 785,604 individuals, showing ongoing natural selection at the FADS locus.

63 citationstop 1%

humanGWAS summary statistics

𝕏 PostBluesky