Author

Henrik R. Hallingbäck

Forestry Research Institute of SwedenORCID 0000-0003-4250-711XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:GWAS / association mapping· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Adam Klingberg· 1 shared Ainhoa Calleja-RodrígueziD· 1 shared Harry X. WuiD· 1 shared María Rosario García‐GiliD· 1 shared Mikko J. SillanpääiD· 1 shared S Abrahamsson· 1 shared X Wu H· 1 shared Zhiqiang CheniD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperGenetics

Adam Klingberg

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2 papers

Recent·Most cited

GeneticsBMC GenomicsPeer-reviewedMar 27, 2023

Preselection of QTL markers enhances accuracy of genomic selection in Norway spruce

Zhiqiang Chen, Adam Klingberg, Henrik R. Hallingbäck, Harry X. Wu

This study shows that preselecting QTL markers improves genomic selection accuracy for oligogenic traits in Norway spruce, but not for polygenic traits.

29 citationstop 3%

whole-genome sequencingstatistical model

𝕏 PostBluesky

GeneticsbioRxivPreprintApr 9, 2018

Functional Quantitative Trait Loci (QTL) analysis for adaptive traits in a three-generation Scots pine pedigree

Ainhoa Calleja-Rodríguez, Zitong Li, Henrik R. Hallingbäck…·María Rosario García‐Gil

The paper identifies QTL associated with adaptive traits in Scots pine using a three-generation pedigree, finding 62 significant QTL with variance explained up to 18.9%.

1 citation

statistical modelGWAS / association mapping

𝕏 PostBluesky