Author

Rubina Tabassum

University of HelsinkiORCID 0000-0002-3120-3041Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genetics· 2

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:benchmarking· 3 Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Research Focus:fine-mapping· 2 Research Focus:differential expression· 1 Assay:metabolomics· 1

Frequent Co-Authors

Matti PirineniD· 4 shared Samuli RipattiiD· 4 shared Christian D. KloseiD· 3 shared Kai SimonsiD· 3 shared Mathias J. GerliD· 3 shared Elisabeth WidéniD· 2 shared Linda OttensmanniD· 2 shared Sanni RuotsalaineniD· 2 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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4 shared papersGenetic & Genomic Medicine

Matti PirinenORCID

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4 papers

Recent·Most cited

Genetic & Genomic MedicineNature CommunicationsPeer-reviewedOct 31, 2023

Genome-wide association analysis of plasma lipidome identifies 495 genetic associations

Linda Ottensmann, Rubina Tabassum, Sanni Ruotsalainen…·Matti Pirinen

This study identifies 495 genetic associations with plasma lipid species using genome-wide analysis in 7,174 Finnish individuals and fine-mapping in 377,277 participants, revealing 9 novel loci and disease links.

272 citationstop 1%

humanGWAS summary statistics

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Genetic & Genomic MedicineJournal of the American Heart AssociationPeer-reviewedOct 4, 2022

Lipidome- and genome-wide study to understand sex differences in circulatory lipids

Rubina Tabassum, Sanni Ruotsalainen, Linda Ottensmann…·Samuli Ripatti

The paper examines sex differences in circulatory lipids and their genetic determinants using lipidomics and genome-wide association studies across multiple cohorts.

67 citationstop 1%

humanmetabolomics

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GeneticsFrontiers in GeneticsPeer-reviewedMay 15, 2020

MetaPhat: Detecting and decomposing multivariate associations from univariate genome-wide association statistics

Jake Lin, Rubina Tabassum, Samuli Ripatti, Matti Pirinen

MetaPhat decomposes multivariate GWAS associations into central traits using BIC and P-value statistics, improving interpretation of genotype-phenotype links.

15 citations

humanGWAS summary statistics

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GeneticsbioRxivPreprintOct 31, 2018

Genetics of human plasma lipidome: Understanding lipid metabolism and its link to diseases beyond traditional lipids

Rubina Tabassum, Joel T Rämö, Pietari Ripatti…·Samuli Ripatti

The paper conducts GWAS and PheWAS on plasma lipid species to identify genetic associations and their links to diseases beyond traditional lipid measures.

10 citations

humanGWAS summary statistics

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