Author

Abesh Kumar Bhattacharjee

University of California San Diego

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

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 4 Organism:human· 4 Approach:statistical model· 4 Research Focus:polygenic risk· 2 Research Focus:GWAS / association mapping· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Antonio BenabarreiD· 4 shared Armin BirneriD· 4 shared Caterina ChillottiiD· 4 shared Cristiana CruceanuiD· 4 shared Frank BellivieriD· 4 shared Lena BacklundiD· 4 shared Liping HouiD· 4 shared Mazda AdliiD· 4 shared

Activity by Year

2016-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenetics

Antonio BenabarreORCID

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4 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

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

Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder

Liping Hou, Sarah E Bergen, Nirmala Akula, Jie Song, Christina M Hultman, Mikael Landen, Mazda Adli, Martin Alda, Raffaella Ardau, Barbara Arias, Jean-Michel Aubry, Lena Backlund, Judith A Badner, Thomas B Barrett, Michael Bauer, , Franziska Degenh

bioRxiv · Jun 24, 2016Genetics