Author

Victor Borja

University of California San Diego

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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Genomics· 3 Genetics· 2

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 5 Assay:bulk RNA-seq· 4 Assay:ATAC-seq· 2 Assay:ChIP-seq· 2 Research Focus:eQTL / molecular QTL mapping· 2 Research Focus:fine-mapping· 2 Research Focus:differential expression· 1

Frequent Co-Authors

Agnieszka D’Antonio‐ChronowskaiD· 5 shared Erin N. SmithiD· 5 shared Hiroko Matsui· 5 shared Kelly A. FrazeriD· 5 shared Matteo D’AntonioiD· 5 shared Paola Benaglio· 5 shared William W. Young GreenwaldiD· 5 shared Angelo D. Arias· 4 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersGenomics

Agnieszka D’Antonio‐ChronowskaORCID

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5 papers

Recent·Most cited

Multi-omic QTL mapping in early developmental tissues reveals phenotypic and temporal complexity of regulatory variants underlying GWAS loci

Timothy D. Arthur, Jennifer Nguyen, Benjamin A. Henson, Agnieszka D’Antonio‐Chronowska, Jeff Jaureguy, Nayara Silva, Angelo D. Arias, Paola Benaglio, W. Travis Berggren, Victor Borja, Megan Cook, Christopher DeBoever, Kenneth E. Diffenderfer, Margaret K.R. Donovan, KathyJean Farnam, , Kelly A. Frazer

The paper identifies multi-omic QTLs in early developmental tissues and shows that GWAS loci often involve complex regulatory variants not captured by eQTLs alone.

Cell Genomics · Feb 21, 2025Peer-reviewedGenomics

Analysis of regulatory network modules in hundreds of human stem cell lines reveals complex epigenetic and genetic factors contribute to pluripotency state differences between subpopulations

Timothy D. Arthur, Jennifer Nguyen, Agnieszka D’Antonio‐Chronowska, Hiroko Matsui, Nayara Sousa da Silva, Isaac N. Joshua, Lana Ribeiro Aguiar, Angelo D. Arias, Paola Benaglio, W. Travis Berggren, Juan Carlos Izpisúa Belmonte, Victor Borja, Megan Cook, Christopher DeBoever, Kenneth E. Diffenderfer, , Kelly A. Frazer

The paper identifies regulatory network modules in human stem cells, showing epigenetic and genetic factors influence pluripotency state differences.

Nature Communications · Feb 23, 2024Peer-reviewedGenomics

eQTL mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk

Jennifer Nguyen, Timothy D. Arthur, Kyohei Fujita, Bianca M. Salgado, Margaret K. R. Donovan, Lana Ribeiro Aguiar, Angelo D. Arias, Paola Benaglio, W. Travis Berggren, Juan Carlos Izpisúa Belmonte, Victor Borja, Megan Cook, Christopher DeBoever, Kenneth E. Diffenderfer, KathyJean Farnam, , Kelly A. Frazer

The paper maps eQTLs in fetal-like pancreatic progenitor cells, identifying regulatory variants that influence diabetes risk by affecting gene expression and splicing in early development.

Nature Communications · Oct 30, 2023Peer-reviewedGenomics

Fine mapping spatiotemporal mechanisms of genetic variants underlying cardiac traits and disease

Matteo D’Antonio, Jennifer Nguyen, Timothy D. Arthur, Angelo D. Arias, Paola Benaglio, W. Travis Berggren, Victor Borja, Juan Carlos Izpisúa Belmonte, Megan Cook, Christopher DeBoever, Kenneth E. Diffenderfer, Margaret K. R. Donovan, KathyJean Farnam, Kelly A. Frazer, Kyohei Fujita, , Agnieszka D’Antonio‐Chronowska

This study identifies causal genetic variants for cardiac traits by integrating spatiotemporal eQTL analysis with GWAS data, showing stage- and tissue-specific effects.

Nature Communications · Feb 28, 2023Peer-reviewedGenetics

Human iPSC-derived retinal pigment epithelium: a model system for identifying and functionally characterizing causal variants at AMD risk loci

Erin N. Smith, Agnieszka D’Antonio‐Chronowska, William W. Young Greenwald, Victor Borja, Lana Ribeiro Aguiar, Robert Edward Pogue, Hiroko Matsui, Paola Benaglio, Shyamanga Borooah, Matteo D’Antonio, Radha Ayyagari, Kelly A. Frazer

The paper uses iPSC-derived retinal pigment epithelium to identify and functionally characterize causal variants at AMD risk loci, finding rs943080 as the probable causal variant at VEGFA.

Stem Cell Reports · May 9, 2019Peer-reviewedGenetics