Author

Petar V. Todorov

University of CopenhagenORCID 0000-0003-4835-0643Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

José C. FloreziD· 2 shared Josée DupuisiD· 2 shared Tune H. PersiD· 2 shared Aaron J. IsaacsiD· 1 shared Albert Hofman DiD· 1 shared Alejandra TomásiD· 1 shared Alessia DavidiD· 1 shared Alessia FaggianiD· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

José C. FlorezORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintApr 17, 2021

Random glucose GWAS in 493,036 individuals provides insights into diabetes pathophysiology, complications and treatment stratification

Vasiliki Lagou, Longda Jiang, Anna Ulrich…·Inga Prokopenko

This study performs a GWAS on random glucose measurements in 493,036 individuals, identifying 128 loci associated with glycaemic traits and providing insights into diabetes biology and treatment.

10 citations

humanGWAS summary statistics

NeuroscienceNature CommunicationsPeer-reviewedFeb 15, 2021

Machine Learning Identifies Novel Candidates for DrugRepurposing in Alzheimer's Disease

Steve Rodriguez, Clemens B. Hug, Petar V. Todorov…·Artem Sokolov

The paper presents a machine learning framework to identify FDA-approved drugs for repurposing in Alzheimer's Disease by analyzing gene lists associated with disease severity and molecular mechanisms.

299 citationstop 1%

humanbulk RNA-seq

GeneticsbioRxivPreprintMay 1, 2019

Multi-trait genome-wide association meta-analysis of dietary intake identifies new loci and genetic and functional links with metabolic traits

Jordi Merino, Hassan S. Dashti, Chloé Sarnowski…·Richa Saxena

This study identifies 96 genome-wide significant loci associated with dietary intake variation using a multi-trait GWAS meta-analysis across 283,119 individuals.

3 citations

humanGWAS summary statistics