Author

Rosa Lundbye Allesøe

University of CopenhagenORCID 0000-0002-8085-4473Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:GWAS / association mapping· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Assay:metabolomics· 1

Frequent Co-Authors

Simon RasmusseniD· 3 shared Adem Y. DawediD· 2 shared Andrea MariiD· 2 shared Angus G. JonesiD· 2 shared Anita M. HennigeiD· 2 shared Anubha MahajaniD· 2 shared Beate EhrhardtiD· 2 shared Bernd Jablonka· 2 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Simon RasmussenORCID

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Author profile →

4 papers

Recent·Most cited

Genetic analysis of blood molecular phenotypes reveals regulatory networks affecting complex traits: a DIRECT study.

Andrew Anand Brown, Juan J. Fernandez-Tajes, Mun‐Gwan Hong, Caroline Brorsson, Robert Wilhelm Koivula, David Davtian, Théo Dupuis, Ambra Sartori, Theodora-Dafni Michalettou, Ian M. Forgie, Jonathan Adam, Kristine Højgaard Allin, Robert J. Caiazzo, Henna Cederberg, Federico De Masi, , Ulrik Plesner Jacobsen

The paper identifies shared genetic regulation across mRNA, proteins, and metabolites in blood, revealing networks and mediators of GWAS variants.

Nature Communications · Aug 21, 2023Peer-reviewedGenetic & Genomic Medicine

Binning microbial genomes using deep learning

Jakob Nybo Nissen, Joachim Johansen, Rosa Lundbye Allesøe, Casper Kaae Sønderby, José Juan Almagro Armenteros, Christopher Heje Grønbech, Lars Juhl Jensen, Henrik Bjørn Nielsen, Thomas Nordahl Petersen, Ole Winther, Simon Rasmussen

This paper introduces a deep learning method using variational autoencoders to improve microbial genome binning from metagenomic data, achieving higher precision and completeness in reconstructed bins.

Nature Biotechnology · Jan 4, 2021Peer-reviewedBioinformatics

Genetic factors underlying the bidirectional relationship between autoimmune and mental disorders - findings from a Danish population-based study

Xueping Liu, Ron Nudel, Wesley K. Thompson, Vivek Appadurai, Andrew Joseph Schork, Alfonso Buil, Simon Rasmussen, Rosa Lundbye Allesøe, Thomas Mears Werge, Ole N Mors, Anders Dupont Børglum, DAVID MICHAEL HOUGAARD, Preben Bo Mortensen, Merete Nordentoft, Michael E. Benros

This study identifies a bidirectional association between autoimmune and mental disorders using Danish population data and finds HLA loci linked to autoimmune diseases but not mental disorders.

Brain Behavior and Immunity · Jun 10, 2020Peer-reviewedBioinformatics

Variation in the plasma membrane monoamine transporter (PMAT, encoded in SLC29A4) and organic cation transporter 1 (OCT1, encoded in SLC22A1) and gastrointestinal intolerance to metformin in type 2 diabetes: an IMI DIRECT study

Adem Y. Dawed, Kaixin Zhou, Nienke van Leeuwen, Anubha Mahajan, Neil Robertson, Robert Wilhelm Koivula, Petra J. M. Elders, Simone P. Rauh, Angus G. Jones, Reinhard Walter Holl, Julia Stingl, Paul W. Franks, Mark I. McCarthy, Leen M. ‘t Hart, Ewan R. Pearson, , A. Forman

This study investigates the association between genetic variants in PMAT and OCT1 transporters and metformin gastrointestinal intolerance in type 2 diabetes patients.

Diabetes Care · Mar 18, 2019Peer-reviewedGenetics