Author

Zehra Köksal

Linköping UniversityORCID 0000-0002-0914-9384Unclaimed 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:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:GWAS summary statistics· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andreas O. TillmariD· 1 shared Annina PreussneriD· 1 shared Jaakko T. LeinoneniD· 1 shared Taru TukiaineniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 3 mutual co-author links

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1 shared paperGenetics

Andreas O. TillmarORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintAug 1, 2025

Optimising Genotype Imputation for Precise Genetic Association in Forensic Phenotype Prediction and Trait Studies

Zehra Köksal, Andreas O. Tillmar

This study evaluates SNP imputation accuracy for forensic trait prediction, finding that SNP selection, MAF, and reference panel quality impact imputation performance and trait prediction accuracy.

1 citation

humanGWAS summary statistics

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Evolutionary BiologybioRxivPreprintMay 7, 2025

Introducing the Y chromosome ancestral reference sequence - Improving the capture of human evolutionary information

Zehra Köksal, Annina Preussner, Jaakko T. Leinonen, Taru Tukiainen

This paper introduces a Y-chromosomal ancestral-like reference sequence (Y-ARS) to improve the detection of evolutionarily informative variants on the human Y chromosome, showing it captures more consistent and derived variants compared to existing references.

DOI 10.1101/2025.05.07.652589

humanwhole-genome sequencing

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