Author

Timo Tõnis Sikka

University of TartuORCID 0000-0002-6099-1083Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Organism:human· 2 Assay:whole-genome sequencing· 2 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:fine-mapping· 1 Research Focus:genome assembly· 1 Approach:statistical model· 1

Frequent Co-Authors

Andres MetspaluiD· 2 shared Kalle Pärn· 2 shared Mart KalsiD· 2 shared Tiit NikopensiusiD· 2 shared Tõnu EskoiD· 2 shared Aarno V. PalotieiD· 1 shared Anu ReigoiD· 1 shared Jaana SuvisaariiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Andres MetspaluORCID

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2 papers

Recent·Most cited

Genotype-first approach to the detection of hereditary breast and ovarian cancer risk, and effects of risk disclosure to biobank participants

Liis Leitsalu, Marili Palover, Timo Tõnis Sikka, Anu Reigo, Mart Kals, Kalle Pärn, Tiit Nikopensius, Tõnu Esko, Andres Metspalu, Peeter Padrik, Neeme Tõnisson

The paper evaluates a genotype-first approach for identifying BRCA1/2 variant carriers in a biobank cohort and assesses the impact of risk disclosure.

European Journal of Human Genetics · Nov 23, 2020Peer-reviewedGenetic & Genomic Medicine

Advantages of genotype imputation with ethnically matched reference panel for rare variant association analyses

Mart Kals, Tiit Nikopensius, Kristi Läll, Kalle Pärn, Timo Tõnis Sikka, Jaana Suvisaari, Veikko V Salomaa, Samuli Ripatti, Aarno V. Palotie, Andres Metspalu, Tõnu Esko, Priit Palta, Reedik Mägi

This study compares the effectiveness of ethnically matched and mixed reference panels for imputing rare variants in GWAS, showing improved detection of rare variant associations with matched panels.

bioRxiv · Apr 4, 2019 · PreprintGenomics