Scott D. Gordon mainly investigates Genome-wide association study, Genetics, Bipolar disorder, Schizophrenia and Genetic association. His biological study spans a wide range of topics, including Major depressive disorder, Odds ratio, Meta-analysis and Heritability. His work on Locus and Adipogenesis as part of general Genetics study is frequently linked to Insulin secretion and Synaptic function, bridging the gap between disciplines.
His research investigates the connection with Bipolar disorder and areas like Age of onset which intersect with concerns in SNP and Oncology. His Schizophrenia study combines topics in areas such as Psychosis and Genetic architecture. His Genetic association research is multidisciplinary, incorporating elements of Linkage disequilibrium, Minor allele frequency, Allele frequency, Missing heritability problem and Human height.
Scott D. Gordon spends much of his time researching Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Bipolar disorder. His research in Genome-wide association study intersects with topics in SNP, Meta-analysis, Allele, Locus and Heritability. His research in Genetics tackles topics such as Cohort which are related to areas like Cohort study.
Scott D. Gordon interconnects Odds ratio, Demography, Case-control study and Bioinformatics in the investigation of issues within Single-nucleotide polymorphism. His work deals with themes such as Minor allele frequency and Mendelian randomization, which intersect with Genetic association. His studies deal with areas such as Major depressive disorder, Schizophrenia and Age of onset as well as Bipolar disorder.
His scientific interests lie mostly in Genome-wide association study, Genetics, Genetic association, Heritability and Genetic architecture. The concepts of his Genome-wide association study study are interwoven with issues in Meta-analysis, Bipolar disorder and Evolutionary biology. Within one scientific family, Scott D. Gordon focuses on topics pertaining to Schizophrenia under Bipolar disorder, and may sometimes address concerns connected to Psychosis, Major depressive disorder and Pleiotropy.
His study on Genetics is mostly dedicated to connecting different topics, such as Cohort. The Genetic association study combines topics in areas such as Odds ratio, Mendelian randomization, Genetic predisposition and Clinical psychology. Scott D. Gordon focuses mostly in the field of Genetic architecture, narrowing it down to topics relating to Case-control study and, in certain cases, Body mass index, Bioinformatics and Anorexia nervosa.
Scott D. Gordon mainly focuses on Genome-wide association study, Genetics, Heritability, Bipolar disorder and Schizophrenia. The various areas that he examines in his Genome-wide association study study include Genetic architecture, Meta-analysis, Disease, Major depressive disorder and Comorbidity. Scott D. Gordon regularly ties together related areas like Renal function in his Genetics studies.
His Heritability research is multidisciplinary, incorporating perspectives in Genetic variation and Genetic association. Scott D. Gordon combines subjects such as Model organism and Risk factor with his study of Genetic association. His Bipolar disorder research includes elements of Genetic heterogeneity and Psychosis.
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.
Common SNPs explain a large proportion of the heritability for human height
Jian Yang;Beben Benyamin;Brian P. McEvoy;Scott Gordon.
Nature Genetics (2010)
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)
Genetic studies of body mass index yield new insights for obesity biology
Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice.
Faculty of Health; Institute of Health and Biomedical Innovation (2015)
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)
Analysis of shared heritability in common disorders of the brain
Verneri Anttila;Verneri Anttila;Brendan Bulik-Sullivan;Brendan Bulik-Sullivan;Hilary K. Finucane;Raymond K. Walters;Raymond K. Walters.
Genome-wide association study identifies 30 loci associated with bipolar disorder
Eli A. Stahl;Eli A. Stahl;Gerome Breen;Andreas J. Forstner;Andrew McQuillin.
Nature Genetics (2019)
Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned
N. R. Wray;M. L. Pergadia;D. H.R. Blackwood;B. W.J.H. Penninx.
Molecular Psychiatry (2012)
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)
Genome-wide association study identifies a locus at 7p15.2 associated with endometriosis
Jodie N Painter;Carl A Anderson;Carl A Anderson;Dale R Nyholt;Stuart Macgregor.
Nature Genetics (2011)
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: