Author

Mario Maj

University of Campania "Luigi Vanvitelli"ORCID 0000-0001-8408-0711Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genetics· 2 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Joanna HauseriD· 3 shared Mikael LandéniD· 3 shared Abesh Kumar Bhattacharjee· 2 shared Alessio SquassinaiD· 2 shared Alexandre G. DayeriD· 2 shared Alfonso Antonio Vincenzo TortorellaiD· 2 shared Andrea Hofmann· 2 shared Andrea PfennigiD· 2 shared

Activity by Year

2017-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenetics

Joanna HauserORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

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

GeneticsbioRxivPreprintFeb 14, 2018

Identifying tissues implicated in Anorexia Nervosa using Transcriptomic Imputation

Laura M. Huckins, Amanda L. Dobbyn, Whitney C. McFadden…·Mario Maj

This paper uses transcriptomic imputation to identify gene-tissue associations linked to Anorexia Nervosa risk, finding significant links in both brain and metabolic tissues.

3 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