Author

Jessica I. Lundin

Fred Hutch Cancer CenterORCID 0000-0003-4892-6235Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Research Focus:polygenic risk· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alex P. ReineriD· 2 shared Charles L KooperbergiD· 2 shared Christy L. AveryiD· 2 shared Laura M. RaffieldiD· 2 shared Paul Livermore AueriD· 2 shared Rasika A. MathiasiD· 2 shared Ulrike PetersiD· 2 shared A.M. Stilp· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 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

2 shared papersGenetics

Alex P. ReinerORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GeneticsbioRxivPreprintSep 10, 2023

Whole Genome Sequencing Based Analysis of Inflammation Biomarkers in the Trans-Omics for Precision Medicine (TOPMed) Consortium

Min-Zhi Jiang, Sheila M. Gaynor, Xihao Li…·TOPMed Inflammation Working Group

The paper analyzes inflammation biomarkers using whole-genome sequencing from the TOPMed consortium, identifying both single-variant and rare variant associations with inflammatory traits.

3 citations

humanwhole-genome sequencing

𝕏 PostBluesky

GeneticsbioRxivPreprintOct 6, 2022

Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-specific effects via GAUDI

Quan Sun, Bryce Rowland, Jiawen Carmen Chen…·Yun Li

GAUDI improves polygenic risk prediction in admixed populations by modeling ancestry-specific and shared effects, outperforming existing methods in simulations and real data.

8 citations

statistical modelpolygenic risk

𝕏 PostBluesky