Naomi R. Wray mostly deals with Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Schizophrenia. Her Genome-wide association study study combines topics in areas such as Bipolar disorder, Quantitative trait locus, Genetic architecture, Disease and Heritability. Her work on Explained variation expands to the thematically related Genetics.
Her biological study spans a wide range of topics, including Meta-analysis and Computational biology. The study incorporates disciplines such as SNP and Receiver operating characteristic in addition to Genetic association. Her research in Schizophrenia focuses on subjects like Neuroscience, which are connected to Mood, Histone methylation and Biological pathway.
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Psychiatry. Her Genome-wide association study study incorporates themes from Schizophrenia, Disease, Heritability, Major depressive disorder and Genetic architecture. Naomi R. Wray combines subjects such as Statistics, Genetic correlation and Missing heritability problem with her study of Heritability.
Her Genetic association research is multidisciplinary, incorporating elements of Biobank, Demography, Allele frequency, Meta-analysis and Locus. Her Single-nucleotide polymorphism research includes elements of Computational biology and Allele, Haplotype. Her Psychiatry research is multidisciplinary, relying on both Offspring and Cohort.
Her primary areas of study are Genome-wide association study, Genetic association, Psychiatry, Depression and Genetics. Her Genome-wide association study study is related to the wider topic of Single-nucleotide polymorphism. Her research integrates issues of Sample size determination, Data mining, Meta-analysis, Quantitative trait locus and Mixed model in her study of Genetic association.
Her Schizophrenia and Psychiatric genetics study in the realm of Psychiatry interacts with subjects such as Suicide attempt. The Schizophrenia study combines topics in areas such as Major depressive disorder, Bipolar disorder, Odds ratio and Cohort. Her study on Depression also encompasses disciplines like
Naomi R. Wray spends much of her time researching Genome-wide association study, Genetic association, Schizophrenia, Genetics and Psychiatry. Her study on Genome-wide association study is covered under Single-nucleotide polymorphism. The study incorporates disciplines such as Allele and Locus in addition to Single-nucleotide polymorphism.
Her research in Genetic association intersects with topics in Context, Genetic correlation, Disease, Genetic predisposition and Bioinformatics. The concepts of her Schizophrenia study are interwoven with issues in Mental health and Bipolar disorder, Depression. She studies DNA methylation which is a part of Genetics.
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.
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
Shaun M. Purcell;Shaun M. Purcell;Naomi R. Wray;Jennifer L. Stone;Jennifer L. Stone;Peter M. Visscher.
Heritability in the genomics era — concepts and misconceptions
Peter M. Visscher;William G. Hill;Naomi R. Wray.
Nature Reviews Genetics (2008)
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)
10 Years of GWAS Discovery: Biology, Function, and Translation
Peter M. Visscher;Naomi R. Wray;Qian Zhang;Pamela Sklar.
American Journal of Human Genetics (2017)
Genome-wide association analysis identifies 13 new risk loci for schizophrenia
Stephan Ripke;Stephan Ripke;Colm T. O'Dushlaine;Kimberly D. Chambert;Jennifer L. Moran.
Nature Genetics (2013)
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)
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
Zhihong Zhu;Futao Zhang;Han Hu;Andrew Bakshi.
Nature Genetics (2016)
Estimating Missing Heritability for Disease from Genome-wide Association Studies
Sang Hong Lee;Naomi R. Wray;Michael E. Goddard;Peter M. Visscher.
American Journal of Human Genetics (2011)
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)
Profile was last updated on December 6th, 2021.
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