Genetics, Genome-wide association study, Bipolar disorder, Schizophrenia and Single-nucleotide polymorphism are his primary areas of study. His work in Genetics addresses subjects such as Odds ratio, which are connected to disciplines such as Mood, Neurochemistry and Nosology. His Genome-wide association study research is multidisciplinary, relying on both Case-control study, Linkage disequilibrium, Allele, Genetic association and ANK3.
His studies deal with areas such as Major depressive disorder, Psychosis, Mood disorders and Internal medicine as well as Bipolar disorder. Psychiatric genetics is the focus of his Schizophrenia research. His work on SNP as part of general Single-nucleotide polymorphism research is frequently linked to Context, bridging the gap between disciplines.
His primary areas of study are Genetics, Bipolar disorder, Genome-wide association study, Psychiatry and Schizophrenia. His Single-nucleotide polymorphism, Gene, Allele, Genetic variation and Locus study are his primary interests in Genetics. The study incorporates disciplines such as Internal medicine, Lithium, Clinical psychology, Mood and Major depressive disorder in addition to Bipolar disorder.
His study in Genome-wide association study is interdisciplinary in nature, drawing from both Odds ratio, Linkage disequilibrium, Case-control study, Genetic association and ANK3. His work on Psychiatric genetics and Depression is typically connected to Context as part of general Psychiatry study, connecting several disciplines of science. Thomas G. Schulze studied Schizophrenia and Psychosis that intersect with Genetic determinism and Endophenotype.
Thomas G. Schulze spends much of his time researching Bipolar disorder, Clinical psychology, Psychiatry, Schizophrenia and Genome-wide association study. He has included themes like Genetics, Lithium, Mood, Genetic association and Genetic heterogeneity in his Bipolar disorder study. Thomas G. Schulze combines subjects such as Schizoaffective disorder, Psychosis, Effects of sleep deprivation on cognitive performance and Association with his study of Clinical psychology.
The Psychiatric genetics research Thomas G. Schulze does as part of his general Psychiatry study is frequently linked to other disciplines of science, such as Context, Suicide attempt and Pandemic, therefore creating a link between diverse domains of science. Thomas G. Schulze studies Schizophrenia, namely Endophenotype. As a member of one scientific family, Thomas G. Schulze mostly works in the field of Genome-wide association study, focusing on Major depressive disorder and, on occasion, Internal medicine, Mood disorders, Meta-analysis, Case-control study and Oncology.
Thomas G. Schulze mainly investigates Bipolar disorder, Schizophrenia, Genome-wide association study, Psychiatry and Clinical psychology. The concepts of his Bipolar disorder study are interwoven with issues in Multiple comparisons problem, Genetic heterogeneity, Lithium and Genetic association. Thomas G. Schulze interconnects Psychosis, Verbal learning, Effects of sleep deprivation on cognitive performance, Mania and Genetic architecture in the investigation of issues within Schizophrenia.
Genome-wide association study is a subfield of Genetics that Thomas G. Schulze studies. His research investigates the connection with Psychiatry and areas like MEDLINE which intersect with concerns in Nursing and Stigma. Many of his research projects under Clinical psychology are closely connected to Biomarker with Biomarker, tying the diverse disciplines of science together.
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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.
Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis
Jordan W. Smoller;Kenneth Kendler;Nicholas John Craddock;Phil Hyoun Lee.
The Lancet (2013)
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-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)
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)
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)
A genome-wide association study implicates diacylglycerol kinase eta (DGKH) and several other genes in the etiology of bipolar disorder.
A E Baum;N Akula;M Cabanero;I Cardona.
Molecular Psychiatry (2008)
Microduplications of 16p11.2 are Associated with Schizophrenia
Shane E. McCarthy;Vladimir Makarov;George Kirov;Anjene M. Addington.
Nature Genetics (2009)
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