Author

Päivi Kannisto

Lund UniversityORCID 0000-0002-5517-1494Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:proteomics· 1

Frequent Co-Authors

Aaron M. ScottiD· 1 shared Adam LinderiD· 1 shared Agnieszka Dansonka‐MieszkowskaiD· 1 shared Agnieszka Podgorski· 1 shared Ahmad AlsulimaniiD· 1 shared Ailith EwingiD· 1 shared Alexander Doyle· 1 shared Alicia C. Beeghly-FadieliD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperSystems Biology

Aaron M. ScottORCID

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2 papers

Recent·Most cited

Systems BiologyCellPeer-reviewedApr 8, 2025

Inferring the composition of the blood plasma proteome by a human proteome distribution atlas

Erik Malmström, Lars Malmström, Simon Hauri…·Johan A. Malmström

The paper develops a proteomics strategy to infer the origin of proteins in human plasma using a proteome atlas and RNA/protein atlases, demonstrating its application in disease cohorts.

66 citationstop 1%

humanproteomics

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GeneticsbioRxivPreprintJun 16, 2020

Combining genome-wide studies of breast, prostate, ovarian and endometrial cancers maps cross-cancer susceptibility loci and identifies new genetic associations

Siddhartha Kar, Sara Lindström, Rayjean J. Hung…·Rosalind A. Eeles

This study combines genome-wide association data from four cancers to identify shared and novel genetic associations and pleiotropic effects.

6 citations

humanGWAS summary statistics

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