Author

Nigussie Tadesse Sharew

Adelaide UniversityORCID 0000-0002-6443-6992Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:database / resource· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Azmeraw T. AmareiD· 2 shared Klaus Oliver SchubertiD· 2 shared Scott Richard ClarkiD· 2 shared Sergi PapioliD· 2 shared Abesh Kumar Bhattacharjee· 1 shared André FischeriD· 1 shared Andrea SchmittiD· 1 shared Andreas J. Fallgatter· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Azmeraw T. AmareORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Using multi-trait polygenic scores to predict lithium responsiveness in patients with bipolar disorder

Nigussie Tadesse Sharew, Scott Richard Clark, Simon Hartmann, Sergi Papiol, Thomas G. Schulze, Bernhard Theodor Baune, Klaus Oliver Schubert, Azmeraw T. Amare

This paper develops a multi-trait polygenic score (mt-PGS) to predict lithium responsiveness in bipolar disorder, finding it improves prediction accuracy compared to single-trait methods.

medRxiv · Jan 5, 2026 · PreprintGenetic & Genomic Medicine

Pathway-Specific Polygenic Scores for Predicting Clinical Lithium Treatment Response in Patients with Bipolar Disorder

Nigussie Tadesse Sharew, Scott Richard Clark, Sergi Papiol, Urs Heilbronner, Franziska Degenhardt, Janice M. Fullerton, Liping Hou, Tatyana Shekhtman, Mazda Adli, Nirmala Akula, Kazufumi Akiyama, Raffaella Ardau, Bárbara Arias, Roland Hasler, Hélène Richard-Lepouriel, , Layla Kassem

The paper develops pathway-specific polygenic scores to predict lithium treatment response in bipolar disorder and finds associations with specific biological pathways.

Biological Psychiatry Global Open Science · Jun 25, 2025Peer-reviewedGenetic & Genomic Medicine

Pharmacogenomic scores in psychiatry: Systematic review of existing evidence

Nigussie Tadesse Sharew, Scott Richard Clark, Klaus Oliver Schubert, Azmeraw T. Amare

This paper reviews pharmacogenomic scores in psychiatry, finding most are based on diagnoses/trait variants, with PGSSCZ showing mixed effects on treatment outcomes.

medRxiv · Apr 5, 2024 · PreprintGenetic & Genomic Medicine