Author

PingHsun Hsieh

Department of Genetics, Cell Biology, and Development, University of Minnesota, Twin Cities, MN, USAPrimary ORCID profile (0000-0001-8294-6227 · 15 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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PingHsun HsiehiD15 papers · University of Washington

Biology Disciplines

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Evolutionary Biology· 1 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:whole-genome sequencing· 2 Research Focus:chromatin & epigenetic regulation· 1 Organism:Drosophila· 1 Research Focus:GWAS / association mapping· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Ryan N Gutenkunst· 2 shared Aaron P Ragsdale· 1 shared Alec J Coffman· 1 shared All of Us Research Program Long Read Working Group· 1 shared E. E. Eichler· 1 shared F. Cunial· 1 shared F. J. Sedlazeck· 1 shared Jeffrey D Wall· 1 shared

Activity by Year

2015-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersEvolutionary Biology

Ryan N Gutenkunst

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3 papers

Recent·Most cited

Evolution-guided association mapping using long-read genomes from a self-identified Black or African American cohort in All of Us

N. Soisangwan, K. V. Garimella, M. C. Schatz, E. E. Eichler, F. J. Sedlazeck, M. E. Talkowski, F. Cunial, S. K. Lee, All of Us Research Program Long Read Working Group, PingHsun Hsieh

This study uses long-read genomes from a Black or African American cohort to identify genomic regions under recent positive selection and their associations with phenotypes.

medRxiv · Nov 4, 2026 · PreprintGenetic & Genomic Medicine

Inferring the correlated fitness effects of nonsynonymous mutations at the same site using triallelic population genomics

Aaron P Ragsdale, Alec J Coffman, PingHsun Hsieh, Travis J Struck, Ryan N Gutenkunst

This study introduces a model to infer correlated fitness effects of nonsynonymous mutations at the same site using triallelic population genomics in D. melanogaster.

bioRxiv · Oct 21, 2015Evolutionary Biology

Whole genome sequence analyses of Western Central African Pygmy hunter-gatherers reveal a complex demographic history and identify candidate genes under positive natural selection

PingHsun Hsieh, Krishna R Veeramah, Joseph Lachance, Sarah A Tishkoff, Jeffrey D Wall, Michael F Hammer, Ryan N Gutenkunst

The paper analyzes whole-genome sequences of Pygmy hunter-gatherers to uncover demographic history and identify genes under positive selection.

bioRxiv · Jul 8, 2015Genomics