His main research concerns Genome-wide association study, Genetics, Genetic association, Schizophrenia and Bipolar disorder. His Genome-wide association study study incorporates themes from Clinical psychology, Neuroscience, Disease and Genetic architecture. While the research belongs to areas of Genetics, he spends his time largely on the problem of Psychosis, intersecting his research to questions surrounding Bipolar I disorder and Bipolar II disorder.
His studies deal with areas such as Relative risk, Confidence interval, Genome and Genetic risk factor as well as Genetic association. Manuel Mattheisen is interested in Psychiatric genetics, which is a field of Schizophrenia. His Bipolar disorder research integrates issues from Major depressive disorder and Age of onset.
His primary scientific interests are in Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Schizophrenia. His work carried out in the field of Genome-wide association study brings together such families of science as Bipolar disorder, Case-control study, Linkage disequilibrium, Disease and Clinical psychology. His Bipolar disorder research focuses on Major depressive disorder and how it relates to Genetic heterogeneity.
The various areas that he examines in his Genetic association study include Meta-analysis, Computational biology and Heritability. The study incorporates disciplines such as Genetic linkage, Genetic variation, Polymorphism and Bioinformatics in addition to Single-nucleotide polymorphism. He studies Psychiatric genetics which is a part of Schizophrenia.
Manuel Mattheisen mostly deals with Genome-wide association study, Genetics, Clinical psychology, Genetic association and Genetic architecture. His Genome-wide association study study combines topics in areas such as Genetic correlation, Bipolar disorder, Psychiatry, Genomics and Major depressive disorder. His study looks at the relationship between Bipolar disorder and fields such as Schizophrenia, as well as how they intersect with chemical problems.
His work in Genetics is not limited to one particular discipline; it also encompasses Prefrontal cortex. His Genetic association research incorporates themes from Meta-analysis and Tourette syndrome. The Multifactorial Inheritance study combines topics in areas such as Schizophrenia, Penetrance, Disease and Allele.
His primary areas of investigation include Genome-wide association study, Genetic architecture, Genetic association, Genetics and Heritability. His study in Genome-wide association study is interdisciplinary in nature, drawing from both Cohort study, Bipolar disorder, Genomics, Major depressive disorder and Cohort. His work on Schizophrenia expands to the thematically related Bipolar disorder.
In his study, Autism spectrum disorder is strongly linked to Tourette syndrome, which falls under the umbrella field of Schizophrenia. His biological study spans a wide range of topics, including Psychiatry, Nucleus accumbens, Neuroscience, Putamen and Clinical psychology. Genetics is frequently linked to Spectrum disorder in his study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
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 analyses identify 44 risk variants and refine the genetic architecture of major depression
Naomi R. Wray;Stephan Ripke;Stephan Ripke;Stephan Ripke;Manuel Mattheisen;MacIej Trzaskowski.
Nature Genetics (2018)
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)
Common variants conferring risk of schizophrenia
Hreinn Stefansson;Hreinn Stefansson;Roel A. Ophoff;Roel A. Ophoff;Roel A. Ophoff;Stacy Steinberg;Stacy Steinberg;Ole A. Andreassen.
Nature (2009)
Genome-wide association study identifies five new schizophrenia loci
Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)
Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4
Pamela Sklar;Pamela Sklar;Stephan Ripke;Stephan Ripke;Laura J. Scott;Ole A. Andreassen.
Nature Genetics (2011)
A mega-analysis of genome-wide association studies for major depressive disorder
Stephan Ripke;Naomi R Wray;Cathryn M Lewis;Steven P Hamilton.
Molecular Psychiatry (2013)
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)
Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection
Antonio F. Pardiñas;Peter Holmans;Andrew J. Pocklington;Valentina Escott-Price.
Nature Genetics (2018)
Identification of common variants associated with human hippocampal and intracranial volumes
Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar.
Nature Genetics (2012)
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