Author

Elaheh Vojgani

University of GöttingenORCID 0000-0003-4375-3531Unclaimed 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:genome assembly· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Organism:plant (other)· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Armin C. HölkeriD· 2 shared Chris‐Carolin SchöniD· 2 shared Henner SimianeriD· 2 shared Manfred MayeriD· 2 shared Torsten PookiD· 2 shared Johannes W. R. MartiniiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersGenetics

Armin C. HölkerORCID

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2 papers

Recent·Most cited

Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments

Elaheh Vojgani, Torsten Pook, Johannes W. R. Martini, Armin C. Hölker, Manfred Mayer, Chris‐Carolin Schön, Henner Simianer

The paper compares genomic prediction models for maize traits, finding that selecting top SNP interactions improves prediction accuracy compared to additive models.

Theoretical and Applied Genetics · Jun 11, 2021Peer-reviewedGenetics

Bivariate genomic prediction of phenotypes by selecting epistatic interactions across years

Elaheh Vojgani, Torsten Pook, Armin C. Hölker, Manfred Mayer, Chris‐Carolin Schön, Henner Simianer

This paper compares bivariate genomic prediction models for plant traits across two growing seasons, finding that models incorporating epistasis improve prediction accuracy.

bioRxiv · Nov 18, 2020 · PreprintGenetics