Author

Dilnoza Muslimova

Tinbergen InstituteORCID 0000-0003-4917-1663Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:polygenic risk· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Cornelius A. RietveldiD· 2 shared Hans van KippersluisiD· 2 shared Rita Dias PereiraiD· 2 shared S. Fleur W. MeddensiD· 2 shared Stephanie von HinkeiD· 2 shared Eric A.W. Slob· 1 shared Pietro BiroliiD· 1 shared Ronald de VlamingiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersGenomics

Cornelius A. RietveldORCID

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2 papers

Recent·Most cited

Rank concordance of polygenic indices: Implications for personalised intervention and gene-environment interplay

Dilnoza Muslimova, Rita Dias Pereira, Stephanie von Hinke, Hans van Kippersluis, Cornelius A. Rietveld, S. Fleur W. Meddens

The paper evaluates rank concordance between polygenic indices for cardiovascular disease and educational attainment, finding significant variation in rankings and highlighting measurement error's role in discordance.

Nature Human Behaviour · Mar 13, 2023Peer-reviewedGenomics

Overcoming Attenuation Bias in Regressions using Polygenic Indices: A Comparison of Approaches

Hans van Kippersluis, Pietro Biroli, Rita Dias Pereira, T. J. Galama, Stephanie von Hinke, S. Fleur W. Meddens, Dilnoza Muslimova, Eric A.W. Slob, Ronald de Vlaming, Cornelius A. Rietveld

This paper compares two methods to reduce measurement error in polygenic indices by simulating and validating their performance on educational attainment and height data.

bioRxiv · Apr 9, 2021 · PreprintGenetics