Author

Maria Ban

University of CambridgeORCID 0009-0007-8519-3276Unclaimed ORCID profile · follow to get notified of new preprints

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Maria Ban2 papers

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Adam SantanielloiD· 1 shared Ahmed Essam MahfouziD· 1 shared Aida Ripoll-CladellasiD· 1 shared An GorisiD· 1 shared Anne Haney CrossiD· 1 shared Anne SpurklandiD· 1 shared Antonios BayasiD· 1 shared Ashley Harris BeechamiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenetics

Adam SantanielloORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintApr 14, 2026

Federated single-cell QTL meta-analysis reveals novel disease mechanisms

Dan Kaptijn, Lieke Michielsen, Drew R. Neavin…·Monique G.P. van der Wijst

The paper performs a federated cis-eQTL meta-analysis across single-cell datasets to identify cell-type-specific genetic effects and link them to disease mechanisms.

1 citation

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GeneticsCellPeer-reviewedOct 18, 2018

Low frequency and rare coding variation contributes to multiple sclerosis risk

Mitja Mitrovič, Nikolaos A. Patsopoulos, Ashley Harris Beecham…·Hakon H. Hakonarson

The paper identifies low-frequency coding variants contributing to multiple sclerosis risk using a large case-control study.

173 citationstop 1%

humanGWAS summary statistics

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