Author

Tuuli Jürgenson

University of TartuORCID 0000-0002-9998-1640Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:GWAS / association mapping· 3 Assay:electronic health records· 2 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:multiome· 1

Frequent Co-Authors

Lili A. MilaniiD· 3 shared Kristi KrebsiD· 2 shared Maarja Lepamets· 2 shared Reedik MägiiD· 2 shared Aaron A. Petrakovitz· 1 shared Aaron Kleinman· 1 shared Adam AutoniD· 1 shared Aïcha SoumaréiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenetic & Genomic Medicine

Lili A. MilaniORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Genome-wide meta-analyses of non-response to antidepressants identify novel loci and potential drugs

Elise M. Koch, Tuuli Jürgenson, Guðmundur Einarsson, Brittany L. Mitchell, Arvid Harder, Luis M. García‐Marín, Kristi Krebs, Yuhao Lin, Ying Xiong, Yi Lü, Sara Hägg, Miguel E. Rentería, Sarah Elizabeth Medland, Naomi R. Wray, Nicholas G. Martin, , Kevin Sean O’Connell

This study identifies two novel genomic loci associated with antidepressant non-response and suggests potential drugs for further validation.

medRxiv · Jul 13, 2024 · PreprintGenetic & Genomic Medicine

Complexities of cerebral small vessel disease, blood pressure, and dementia relationship: new insights from genetics

Muralidharan Sargurupremraj, Aïcha Soumaré, Joshua C. Bis, Ida L. Surakka, Tuuli Jürgenson, Pierre Joly, Maria J. Knol, Ruiqi Wang, Qiong Yang, Claudia Liliana Satizábal, Alexander Guðjónsson, Aniket Mishra, Vincent Bouteloup, Chia‐Ling Phuah, Cornelia M. van Duijn, , Stéphanie Debette

This paper uses genetic data to investigate the causal relationships between vascular traits like white matter hyperintensity, blood pressure, and stroke with dementia and Alzheimer's disease risk.

medRxiv · Aug 8, 2023 · PreprintGenetic & Genomic Medicine

Omics-informed CNV calls reduce false positive rate and improve power for CNV-trait associations

Maarja Lepamets, Chiara Auwerx, Margit Nõukas, Annique Claringbould, Eleonora Porcu, Mart Kals, Tuuli Jürgenson, Andrew P. Morris, Urmo Võsa, Murielle Bochud, Silvia Stringhini, Cisca Wijmenga, Lude Franke, Hedi Peterson, Jaak Vilo, , Zoltán Kutalik

The paper introduces an omics-informed quality score to improve CNV detection and association analysis by reducing false positives and increasing statistical power.

Human Genetics and Genomics Advances · Aug 1, 2022Peer-reviewedBioinformatics

Genome-wide study identifies association between HLA-B*55:01 and penicillin allergy

Kristi Krebs, Jonas Bovijn, Neil S. Zheng, Maarja Lepamets, Jenny C. Censin, Tuuli Jürgenson, Dage Särg, Erik Abner, Triin Laisk, Yang Luo, Line Skotte, Frank Geller, Bjarke Feenstra, Wei Wang, Adam Auton, , João Fadista

The paper identifies HLA-B*55:01 as a genetic risk factor for penicillin allergy through genome-wide analysis of electronic health records and imputed HLA data.

The American Journal of Human Genetics · Sep 3, 2020Peer-reviewedGenetics