Author

Lehte Türk

University of Tartu

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Research Focus:polygenic risk· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Priit PaltaiD· 2 shared Alicia Huerta‐ChagoyaiD· 1 shared Alisa Knodle ManningiD· 1 shared Anastasiia AlekseienkoiD· 1 shared Andrés Moreno‐EstradaiD· 1 shared Anu ReigoiD· 1 shared Carlos Alberto Aguilar-SalinasiD· 1 shared David A. van HeeliD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Priit PaltaORCID

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2 papers

Recent·Most cited

Improving type 2 diabetes polygenic risk scores by incorporating rare, low-frequency, and population-specific variants

Katie Taylor, Alicia Huerta‐Chagoya, Xiaoyu Wang, Maheak Vora, Jiang Li, Lehte Türk, Teng Hiang Heng, Joohyun Kim, Andrés Moreno‐Estrada, Teresa Tusié‐Luna, Carlos Alberto Aguilar-Salinas, Maggie C.Y. Ng, Hilary C. Martin, David A. van Heel, Alisa Knodle Manning, , Josep Maria Mercader

This paper improves type 2 diabetes polygenic risk scores by including rare and population-specific variants, showing better risk prediction in diverse populations.

medRxiv · Nov 24, 2025 · PreprintGenetic & Genomic Medicine

Leveraging nationwide health care records in Estonia to identify the genetic background of understudied disease phenotypes

Erik Abner, Anastasiia Alekseienko, Kanwal Batool, Klavs Jermakovs, Mihkel Jesse, Hele Haapaniemi, Satu J. Strausz, Lehte Türk, Sviatoslav-Oleh Savchak, FinnGen, Anu Reigo, Teele Palumaa, Hanna Maria Ollila, Jaanika Kronberg, Urmo Võsa, , Priit Palta

The paper uses Estonian Biobank data to identify genetic loci associated with 5,491 disease phenotypes, finding 3,222 genome-wide significant loci and 754 protein-altering variant-trait associations.

medRxiv · Mar 18, 2025 · PreprintGenetic & Genomic Medicine