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Paper Details

Focal adhesion is associated with lithium response in bipolar disorder: evidence from a network-based multi-omics analysis.
Mol Psychiatry
8
2024
500, BD, BD Li, Bipolar Disorder, GWAB, Li, Lithium, NR, PGBD, bipolar disorder, candidate genes, differentially expressed (DE) genes, functional genes, gene, iPSC-derived neurons, lithium, proximal network genes, top 500- and top 2000-proximal gene networks
Author NameAffiliation
Sara Brin RosenthalCenter for Computational Biology and Bioinformatics, University of California
Sara Brin RosenthalCenter for Computational Biology and Bioinformatics, University of California
Caroline M NievergeltUniversity of California
Tatyana ShekhtmanUniversity of California
Ney Alliey-RodriguezUniversity of Chicago
Ney Alliey-RodriguezNorthwestern University
Wade H BerrettiniUniversity of Pennsylvania
Holli BertramUniversity of Michigan ann arbor
Katherine E BurdickBrigham and Women's Hospital, Harvard Medical School
William CoryellUniversity of Iowa
Mark A FryeThe Mayo Clinic
Julie GarnhamDalhousie University
Elliot S GershonUniversity of Chicago
Fernando S GoesJohns Hopkins University
Susan G LeckbandVA San Diego Healthcare System
Michael J McCarthyUniversity of California
Melvin G McInnisUniversity of Michigan ann arbor
David W CraigUniversity of Southern California
Francis M MondimoreJohns Hopkins University
John I NurnbergerIndiana University School of Medicine
John I NurnbergerStark Neurosciences Research Institute, Indiana University School of Medicine
Paul D ShillingUniversity of California
Claire SlaneyDalhousie University
Peter P ZandiJohns Hopkins University
Martin AldaDalhousie University
Martin AldaNational Institute of Mental Health
Kathleen M FischCenter for Computational Biology and Bioinformatics, University of California
Kathleen M FischUniversity of California
Kathleen M FischCenter for Computational Biology and Bioinformatics, University of California
Kathleen M FischUniversity of California
John R KelsoeUniversity of California
John R KelsoeInstitute for Genomic Medicine, University of California
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