Jordan W. Smoller mostly deals with Genome-wide association study, Genetics, Bipolar disorder, Schizophrenia and Major depressive disorder. His studies in Genome-wide association study integrate themes in fields like Meta-analysis, Allele, Genetic association, Heritability and Neuroscience. As part of the same scientific family, Jordan W. Smoller usually focuses on Genetics, concentrating on Hippocampal formation and intersecting with Human brain, Spatial memory, Alzheimer's disease and Episodic memory.
His research integrates issues of Genetic heterogeneity, Mood disorders and ANK3 in his study of Bipolar disorder. His studies deal with areas such as Psychosis, Disease, Depression and Genetic architecture as well as Schizophrenia. His Major depressive disorder research is multidisciplinary, incorporating elements of Candidate gene, Mania, Clinical psychology and Bioinformatics.
His scientific interests lie mostly in Genome-wide association study, Genetics, Psychiatry, Bipolar disorder and Clinical psychology. He interconnects SNP, Genetic correlation, Genetic association, Heritability and Genetic architecture in the investigation of issues within Genome-wide association study. His Genetics study is mostly concerned with Single-nucleotide polymorphism, Gene, Locus, Allele and Phenotype.
His study in Psychiatry focuses on Depression, Psychiatric genetics and Anxiety. His work carried out in the field of Bipolar disorder brings together such families of science as Schizophrenia, Oncology, Psychosis, Mood and Major depressive disorder. His Schizophrenia study incorporates themes from Disease and Genomics.
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Genetic architecture, Psychiatry and Gene. His Genome-wide association study research integrates issues from Pleiotropy, Computational biology, Genetic variation and Immunology. His study ties his expertise on Bipolar disorder together with the subject of Genetics.
His Bipolar disorder research incorporates themes from Schizophrenia, Likely pathogenic, Exome and Mood. The Genetic architecture study combines topics in areas such as Major depressive disorder, Genetic correlation, Disease and Attention deficit hyperactivity disorder. His Disease study combines topics in areas such as Healthy individuals, Cortical surface and Genetic association.
Jordan W. Smoller spends much of his time researching Genome-wide association study, Genetic association, Genetics, Genetic architecture and Glycosylation. Jordan W. Smoller combines subjects such as Cerebral cortex, Bipolar disorder, Computational biology and Schizophrenia with his study of Genome-wide association study. In his study, Genetic correlation is strongly linked to Biobank, which falls under the umbrella field of Bipolar disorder.
In his study, Linkage disequilibrium is inextricably linked to Heritability, which falls within the broad field of Genetic association. His study in Genetics is interdisciplinary in nature, drawing from both Blood proteins and Pathogenesis. Jordan W. Smoller has researched Genetic architecture in several fields, including Major depressive disorder, Disease, Cortex and Brain mapping.
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.
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
B. T. Thomas Yeo;Fenna M. Krienen;Jorge Sepulcre;Jorge Sepulcre;Mert R. Sabuncu;Mert R. Sabuncu.
Journal of Neurophysiology (2011)
Molecular Genetics of Attention-Deficit/Hyperactivity Disorder
Stephen V. Faraone;Roy H. Perlis;Alysa E. Doyle;Jordan W. Smoller.
Biological Psychiatry (2005)
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)
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)
Collaborative genome-wide association analysis supports a role for ANK3 and CACNA1C in bipolar disorder
Manuel A R Ferreira;Michael C O'Donovan;Yan A Meng;Ian R Jones.
Nature Genetics (2008)
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)
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)
Assessing the impact of population stratification on genetic association studies.
Matthew L Freedman;Matthew L Freedman;David Reich;David Reich;Kathryn L Penney;Kathryn L Penney;Gavin J McDonald;Gavin J McDonald.
Nature Genetics (2004)
Pleiotropy in complex traits: challenges and strategies
Nadia Solovieff;Chris Cotsapas;Chris Cotsapas;Phil H. Lee;Phil H. Lee;Shaun M. Purcell.
Nature Reviews Genetics (2013)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: