Author

Layla Kassem

National Institutes of Health

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genomics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 5 Organism:human· 5 Approach:statistical model· 5 Research Focus:polygenic risk· 2 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Franziska DegenhardtiD· 4 shared Stefan HermsiD· 4 shared Sven CichoniD· 4 shared Abesh Kumar Bhattacharjee· 3 shared Andreas J. ForstneriD· 3 shared Antonio BenabarreiD· 3 shared Armin BirneriD· 3 shared Bárbara AriasiD· 3 shared

Activity by Year

2017-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenomics

Franziska DegenhardtORCID

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5 papers

Recent·Most cited

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

Strong Genetic Overlaps Between Dimensional and Categorical Models of Bipolar Disorders in a Family Sample

Alejandro Arbona‐Lampaya, Heejong Sung, Alexander D'Amico, Emma E. M. Knowles, Emily Besancon, Ally Freifeld, Ley Nadine Lacbawan, Fabiana L. Lopes, Layla Kassem, Antônio Egídio Nardi, Francis J. McMahon

The paper investigates genetic overlaps between categorical and dimensional models of bipolar disorder using a family sample and finds significant heritability and genetic correlations.

Journal of Affective Disorders · Dec 10, 2024Peer-reviewedGenetic & Genomic Medicine

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, Scott Richard Clark, Sergi Papiol, Micah Cearns, Urs Heilbronner, Franziska Degenhardt, Fasil Tekola Ayele, Yi‐Hsiang Hsu, Tatyana Shekhtman, Mazda Adli, Nirmala Akula, Kazufumi Akiyama, Raffaella Ardau, , 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.

bioRxiv · Oct 26, 2018 · PreprintGenomics

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, Scott Richard Clark, Sergi Papiol, Urs Heilbronner, Franziska Degenhardt, Fasil Tekola Ayele, Yi‐Hsiang Hsu, Tatyana Shekhtman, Mazda Adli, Nirmala Akula, Kazufumi Akiyama, Raffaella Ardau, Bárbara Arias, , 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.

bioRxiv · Nov 11, 2017 · PreprintGenetics

Genotype-phenotype association mining in bipolar disorder: market research meets complex genetics

René Breuer, Manuel Mattheisen, Josef Frank, Bertram Krumm, Jens Treutlein, Layla Kassem, Jana Strohmaier, Stefan Herms, Thomas W. Mühleisen, Franziska Degenhardt, Sven Cichon, Markus Maria Nöthen, George Karypis, Francis J. McMahon, Marcella Rietschel, Thomas G. Schulze

The paper applies association rule mining to GWAS data of bipolar disorder to identify novel genotype-phenotype relationships not detected by traditional GWAS methods.

bioRxiv · Mar 14, 2017 · PreprintGenomics