Author

Daniel Ho

University of AucklandORCID 0000-0002-3699-0419Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Daniel Ho3 papers · Stanford Medicine

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Justin Martin O'SullivaniD· 3 shared Antony A. CooperiD· 2 shared Sophie L. FarrowiD· 2 shared William S. SchierdingiD· 2 shared Alline Cristina CamposiD· 1 shared Andreas W. Kempa-LiehriD· 1 shared Anubhav DasiD· 1 shared Brooke C. WilsoniD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersMicrobiology

Justin Martin O'SullivanORCID

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3 papers

Recent·Most cited

Early life microbial succession in the gut follows common patterns in humans across the globe

Guilherme Fahur Bottino, Kevin Scott Bonham, Fadheela Patel, Shelley McCann, Michal R. Zieff, Nathalia Ferrazzo Naspolini, Daniel Ho, Theo Portlock, Raphaela Joos, Firas S. Midani, Paulo Alfonso Schüroff, Anubhav Das, Inoli Shennon, Brooke C. Wilson, Justin Martin O'Sullivan, , Vanja Klepac‐Ceraj

The paper develops a model to estimate infant gut microbiome age using metagenomic data, finding conserved microbial succession patterns across diverse human populations.

Nature Communications · Jan 14, 2025Peer-reviewedMicrobiology

Machine learning identifies six genetic variants and alterations in the Heart Atrial Appendage as key contributors to PD risk predictivity.

Daniel Ho, William S. Schierding, Sophie L. Farrow, Antony A. Cooper, Andreas W. Kempa-Liehr, Justin Martin O'Sullivan

The paper uses machine learning to identify six genetic variants and tissue-specific eQTL effects linked to Parkinson's disease risk.

Frontiers in Genetics · Jan 3, 2022Peer-reviewedGenetic & Genomic Medicine

A transcription regulatory network within the ACE2 locus may promote a pro-viral environment for SARS-CoV-2 by modulating expression of host factors.

Tayaza Fadason, Sreemol Gokuladhas, Evgeniia Golovina, Daniel Ho, Sophie L. Farrow, Denis M. Nyaga, Hong Pan, Neerja Karnani, Conroy Wong, Antony A. Cooper, William S. Schierding, Justin Martin O'Sullivan

The paper identifies regulatory elements within the ACE2 locus that control host gene expression, suggesting they may contribute to a pro-viral environment for SARS-CoV-2.

bioRxiv · Apr 14, 2020 · PreprintGenomics