Author

Amy J. Swift

National Institutes of Health

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

Signature Assays, Organisms & Methods

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Organism:human· 6 Research Focus:differential expression· 5 Research Focus:gene regulatory network inference· 4 Approach:statistical model· 4 Assay:bulk RNA-seq· 3 Research Focus:database / resource· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

D. Leland TayloriD· 6 shared Francis S. CollinsiD· 6 shared Henry J. TayloriD· 6 shared Lori L. BonnycastleiD· 6 shared Michael R. ErdosiD· 6 shared Narisu NarisuiD· 6 shared Tingfen YaniD· 5 shared Angela LeeiD· 3 shared

Activity by Year

2023-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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6 shared papersGenetics

D. Leland TaylorORCID

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Genetics of growth rate in induced pluripotent stem cells

Brian N. Lee, Henry J. Taylor, Filippo Cipriani, Narisu Narisu, Catherine C. Robertson, Amy J. Swift, Neelam Sinha, Tingfen Yan, Lori L. Bonnycastle, Nathan Dale, Annie Butt, Hemant Parsaud, Stefan Semrau, NYSCF Global Stem Cell Array Team, Joshua W. Knowles, , D. Leland Taylor

The paper identifies genetic factors influencing iPSC growth rates, finding rare variants in WDR54 and a polygenic background explaining most variance.

Stem Cell Reports · May 21, 2026Peer-reviewedDevelopmental Biology

Direct RNA nanopore sequencing reveals rapid RNA modification changes following glucose stimulation of human pancreatic beta-cell lines

Logan Mulroney, Henry J. Taylor, Angela Lee, Amy J. Swift, Mihail Zdravkov, Lori L. Bonnycastle, Shelise Y. Brooks, Brian N. Lee, Tomas W. Fitzgerald, Narisu Narisu, Leslie G. Biesecker, Michael R. Erdos, Francesco Nicassio, Ewan Birney, Francis S. Collins, D. Leland Taylor

The paper uses direct RNA nanopore sequencing to identify RNA modification changes in human pancreatic beta-cells after glucose stimulation, finding 1,697 differentially modified sites linked to type 2 diabetes genes.

bioRxiv · Jun 12, 2025 · PreprintGenomics

Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 hours

Caleb M. Grenko, Henry J. Taylor, Lori L. Bonnycastle, Dongxiang Xue, Brian N. Lee, Zoe Weiss, Tingfen Yan, Amy J. Swift, Erin C. Mansell, Angela Lee, Catherine C. Robertson, Narisu Narisu, Michael R. Erdos, Shuibing Chen, Francis S. Collins, D. Leland Taylor

This study uses single-cell RNA sequencing to analyze gene expression changes in human pancreatic islets under different glucose conditions over 24 hours, identifying genes and modules associated with time, glucose exposure, and their interaction.

Diabetologia · Jul 5, 2024Peer-reviewedGenetics

Functional interrogation of twenty type 2 diabetesassociated genes using isogenic hESC-derived β-like cells

Dongxiang Xue, Narisu Narisu, D. Leland Taylor, Meili Zhang, Caleb M. Grenko, Henry J. Taylor, Tingfen Yan, Xuming Tang, Neelam Sinha, Jiajun Zhu, J. Jeya Vandana, Angie Chi Nok Chong, Angela Lee, Erin C. Mansell, Amy J. Swift, , Francis S. Collins

This study functionally interrogates 20 T2D-associated genes using isogenic hESC-derived β-like cells, identifying variants and genes linked to insulin production and lipotoxicity sensitivity.

Cell Metabolism · Oct 18, 2023Peer-reviewedGenetics

Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits.

Sanjarbek Hudaiberdiev, D. Leland Taylor, Wei Song, Narisu Narisu, Redwan M. Bhuiyan, Henry J. Taylor, Xuming Tang, Tingfen Yan, Amy J. Swift, Lori L. Bonnycastle, Shuibing Chen, Michael L. Stitzel, Michael R. Erdos, Ivan Ovcharenko, Francis S. Collins

Proceedings of the National Academy of Sciences · Aug 21, 2023Peer-reviewedGenetic & Genomic Medicine

Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis

Henry J. Taylor, Yu-Han Hung, Narisu Narisu, Michael R. Erdos, Matthew Kanke, Tingfen Yan, Caleb M. Grenko, Amy J. Swift, Lori L. Bonnycastle, Praveen Sethupathy, Francis S. Collins, D. Leland Taylor

This paper identifies miRNAs associated with type 2 diabetes and glycemic traits through genetic analysis of miRNA expression in human pancreatic islets.

Proceedings of the National Academy of Sciences · Feb 9, 2023Peer-reviewedGenetics