The scientist’s investigation covers issues in Genome-wide association study, Genetics, Genetic association, Schizophrenia and Gene. His Genome-wide association study research is multidisciplinary, incorporating perspectives in Quantitative trait locus, Multifactorial Inheritance, Computational biology and Heritability. His research investigates the link between Genetics and topics such as Cognition that cross with problems in Human height.
In his study, which falls under the umbrella issue of Genetic association, FMR1 and Whole genome sequencing is strongly linked to Exome sequencing. Panos Roussos combines subjects such as Bipolar disorder, Psychosis and Disease with his study of Schizophrenia. His work deals with themes such as Expression quantitative trait loci, Neuroscience, Human brain and Gene regulatory network, which intersect with Regulation of gene expression.
Genetics, Genome-wide association study, Gene, Schizophrenia and Computational biology are his primary areas of study. His Genetics study frequently draws connections between related disciplines such as Disease. The study incorporates disciplines such as Quantitative trait locus, Expression quantitative trait loci, Cognition and Genetic association in addition to Genome-wide association study.
His Genetic association study incorporates themes from Schizophrenia, Locus and Candidate gene. His Schizophrenia research is multidisciplinary, relying on both Bipolar disorder, Prefrontal cortex and Neuroscience. His research integrates issues of Epigenomics, Human brain, Imputation, Epigenetics and Epigenome in his study of Computational biology.
Panos Roussos spends much of his time researching Computational biology, Gene, Genome-wide association study, Transcriptome and Human brain. His studies in Computational biology integrate themes in fields like Mendelian randomization, Gene expression, Chromatin, Quantitative trait locus and Imputation. His Gene research is under the purview of Genetics.
His Genome-wide association study research incorporates themes from Bipolar disorder, Psychosis, Expression quantitative trait loci, Genetic association and Locus. Panos Roussos has included themes like Autism spectrum disorder, Allele and Clinical psychology in his Genetic association study. His Neuroscience research incorporates elements of Schizophrenia and Phosphorylation.
Panos Roussos mainly focuses on Gene, Genome-wide association study, Computational biology, Enhancer and Genetics. His study in Genome-wide association study is interdisciplinary in nature, drawing from both Bipolar disorder, Psychosis and Clinical psychology. His work is dedicated to discovering how Bipolar disorder, Genotype are connected with Dorsolateral prefrontal cortex and Schizophrenia and other disciplines.
His studies deal with areas such as Meta-analysis and Cognition as well as Clinical psychology. Panos Roussos has researched Computational biology in several fields, including Quantitative trait locus, Transcriptome, Genetic variation and Human genetics. His Enhancer study integrates concerns from other disciplines, such as Chromatin, Epigenomics and Cell biology.
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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.
De novo mutations in schizophrenia implicate synaptic networks
Menachem Fromer;Andrew Pocklington;David Kavanagh;Hywel John Williams.
A polygenic burden of rare disruptive mutations in schizophrenia
Shaun M Purcell;Jennifer L. Moran;Menachem Fromer;Douglas Ruderfer.
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)
Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder.
Ditte Demontis;Ditte Demontis;Raymond K Walters;Raymond K Walters;Joanna Martin;Joanna Martin;Joanna Martin;Manuel Mattheisen.
Nature Genetics (2019)
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.
Gene expression elucidates functional impact of polygenic risk for schizophrenia
Menachem Fromer;Panos Roussos;Solveig K. Sieberts;Jessica S. Johnson.
Nature Neuroscience (2016)
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 meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence
Jeanne E Savage;Philip R Jansen;Philip R Jansen;Sven Stringer;Kyoko Watanabe.
Nature Genetics (2018)
Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes
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