Author

Lina Martinsson

Karolinska InstitutetORCID 0000-0002-2938-2773Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 1 Research Focus:polygenic risk· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Catharina LavebrattiD· 3 shared Cristiana CruceanuiD· 3 shared Franziska DegenhardtiD· 3 shared J. Raymond DePauloiD· 3 shared Julie S. GarnhamiD· 3 shared Mirko ManchiaiD· 3 shared Nina DalkneriD· 3 shared Pablo CervantesiD· 3 shared

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2017-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Catharina LavebrattORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJun 23, 2025

Genomic dimensions deconstruct the clinical heterogeneity of bipolar disorder

Tracey van der Veen, Markos Tesfaye, Jessica Mei Kay Yang…·Melvin G. McInnis

This study identifies genetic risk loci and factors underlying clinical subtypes of bipolar disorder using GWAS and meta-analysis.

1 citation

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsbioRxivPreprintOct 26, 2018

Polygenic scores for major depressive disorder and depressive symptoms predict response to lithium in patients with bipolar disorder

Azmeraw T. Amare, Klaus Oliver Schubert, Liping Hou…·Mario Maj

The paper shows that polygenic scores for depression traits predict lithium response in bipolar disorder patients, with lower genetic load linked to better treatment outcomes.

2 citations

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsbioRxivPreprintNov 11, 2017

High genetic loading for schizophrenia predicts poor response to lithium in patients with bipolar disorder: A polygenic score and cross-trait genetic analysis

Azmeraw T. Amare, Klaus Oliver Schubert, Liping Hou…·Gustavo Turecki

This study finds that a higher genetic risk for schizophrenia is linked to poorer lithium response in bipolar disorder patients, suggesting potential for personalized treatment strategies.

DOI 10.1101/209270

humanGWAS summary statistics

𝕏 PostBluesky