His scientific interests lie mostly in Genetics, Genome-wide association study, Schizophrenia, Genetic linkage and Bipolar disorder. The concepts of his Genome-wide association study study are interwoven with issues in Copy-number variation, Psychosis, Case-control study, Allele and Genetic architecture. His work on Linkage disequilibrium as part of general Allele research is frequently linked to Complement component 4, bridging the gap between disciplines.
His Schizophrenia study improves the overall literature in Psychiatry. His Genetic linkage research incorporates elements of Linkage, Pedigree chart and Genome Scan. He combines subjects such as Microarray analysis techniques, Regulation of gene expression, Wnt signaling pathway and Gene expression profiling with his study of Bipolar disorder.
Bryan J. Mowry spends much of his time researching Genetics, Psychiatry, Schizophrenia, Schizophrenia and Genome-wide association study. His work in Single-nucleotide polymorphism, Genetic linkage, Linkage disequilibrium, Pedigree chart and Haplotype are all subfields of Genetics research. Bryan J. Mowry has included themes like Clinical psychology and Genomics in his Psychiatry study.
In his study, Major depressive disorder, Psychiatric genetics and Schizoaffective disorder is inextricably linked to Bipolar disorder, which falls within the broad field of Schizophrenia. His Schizophrenia research includes elements of Genome and Computational biology. His Genome-wide association study study combines topics in areas such as Case-control study, Genetic variation, Genetic association and Genetic architecture.
Bryan J. Mowry mostly deals with Schizophrenia, Genome-wide association study, Genetics, Psychiatry and Schizophrenia. The various areas that Bryan J. Mowry examines in his Schizophrenia study include Copy-number variation, Bipolar disorder and Neuroimaging, Cognition, Neuroscience. His research in Genome-wide association study intersects with topics in Expression quantitative trait loci, Internal medicine, Genetic association and Genetic architecture.
Bryan J. Mowry interconnects Offspring, Pregnancy and Psychiatric genetics in the investigation of issues within Genetic association. His Genetics research is multidisciplinary, relying on both Disease and Oncology. His biological study spans a wide range of topics, including Clinical heterogeneity, Genetic risk, Cohort study and Genomics.
His primary scientific interests are in Genome-wide association study, Schizophrenia, Genetics, Bipolar disorder and Single-nucleotide polymorphism. His work deals with themes such as Internal medicine, Case-control study, Genetic association, Genetic variation and Genetic architecture, which intersect with Genome-wide association study. His Schizophrenia study is associated with Psychiatry.
His Psychiatry study incorporates themes from Clinical heterogeneity and Cohort study. His work carried out in the field of Genetics brings together such families of science as Disease and SOD1. Bryan J. Mowry has researched Psychiatric genetics in several fields, including Biological plausibility, Autism spectrum disorder, Pleiotropy and Tourette syndrome.
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Biological insights from 108 schizophrenia-associated genetic loci
Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters.
Nature (2014)
Genome-wide association study identifies five new schizophrenia loci
Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone.
Nature Genetics (2013)
Genome Scan Meta-Analysis of Schizophrenia and Bipolar Disorder, Part II: Schizophrenia
Cathryn M. Lewis;Douglas F. Levinson;Lesley H. Wise;Lynn E. DeLisi.
American Journal of Human Genetics (2003)
Common variants on chromosome 6p22.1 are associated with schizophrenia
Jianxin Shi;Douglas F. Levinson;Jubao Duan;Alan R. Sanders.
Nature (2009)
Identification of loci associated with schizophrenia by genome-wide association and follow-up
Michael C. O'Donovan;Nicholas Craddock;Nadine Norton;Hywel Williams.
Nature Genetics (2008)
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev.
American Journal of Human Genetics (2015)
Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects
Christian R Marshall;Daniel P Howrigan;Daniel P Howrigan;Daniele Merico;Bhooma Thiruvahindrapuram.
Nature Genetics (2017)
Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders
Phil H. Lee;Verneri Anttila;Hyejung Won;Yen-Chen A. Feng.
Cell (2019)
Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways
Colm O'Dushlaine;Lizzy Rossin;Phil H. Lee;Laramie Duncan;Laramie Duncan.
Nature Neuroscience (2015)
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