Author

Marili Palover

University of TartuORCID 0000-0002-1953-6249Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Research Focus:polygenic risk· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Andres MetspaluiD· 3 shared Neeme TõnissoniD· 3 shared Tõnu EskoiD· 3 shared Anu ReigoiD· 2 shared Krista FischeriD· 2 shared Kristi LälliD· 2 shared Liis LeitsaluiD· 2 shared Mart KalsiD· 2 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Andres MetspaluORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintSep 22, 2024

From Biobanking to Personalized Medicine: the journey of the Estonian Biobank

Lili A. Milani, Maris Alver, Sven Laur…·Andres Metspalu

The paper reviews the Estonian Biobank's role in advancing genomics research and personalized medicine through its comprehensive data and translational focus.

18 citations

humanwhole-genome sequencing

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Genetic & Genomic MedicineEuropean Journal of Human GeneticsPeer-reviewedNov 23, 2020

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…·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.

40 citations

humanDNA methylation

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GeneticsbioRxivPreprintOct 22, 2018

Polygenic prediction of breast cancer: comparison of genetic predictors and implications for screening

Kristi Läll, Maarja Lepamets, Marili Palover…·Krista Fischer

This paper compares genetic risk scores for breast cancer, finding that a combined metaGRS2 provides the strongest predictive ability in two cohorts.

1 citation

humanGWAS summary statistics

𝕏 PostBluesky