Genome-wide association study, Genetics, Schizophrenia, Case-control study and Genetic association are his primary areas of study. His Genome-wide association study study combines topics in areas such as Bipolar disorder, Meta-analysis, Autism spectrum disorder, Genetic variation and Genetic architecture. He has included themes like Psychosis and Disease in his Genetics study.
His Schizophrenia study combines topics from a wide range of disciplines, such as Major depressive disorder, Multifactorial Inheritance, Psychiatric history and Family history. His Case-control study research incorporates elements of Odds ratio and Pregnancy. His Genetic association research incorporates themes from Birth weight, Quantitative trait locus, Early childhood, Type 2 diabetes and Physiology.
David M. Hougaard mainly focuses on Genome-wide association study, Internal medicine, Genetics, Schizophrenia and Endocrinology. The Genome-wide association study study combines topics in areas such as SNP, Quantitative trait locus, Genetic architecture, Genetic association and Heritability. The study incorporates disciplines such as Gastroenterology and Oncology in addition to Internal medicine.
His study focuses on the intersection of Genetics and fields such as Autism spectrum disorder with connections in the field of Attention deficit hyperactivity disorder and Pediatrics. His Schizophrenia research includes themes of Bipolar disorder, Autism, Case-control study and Cohort. His Cohort research includes elements of Clinical psychology and Obstetrics.
David M. Hougaard mostly deals with Genome-wide association study, Autism spectrum disorder, Cohort, Attention deficit hyperactivity disorder and Psychiatry. The concepts of his Genome-wide association study study are interwoven with issues in SNP and Quantitative trait locus. His Autism spectrum disorder research is multidisciplinary, incorporating elements of Epidemiology, Gestational age, Pediatrics and Genetic architecture.
His research integrates issues of Genotyping, Autism and Disease in his study of Cohort. His study in Attention deficit hyperactivity disorder is interdisciplinary in nature, drawing from both Odds ratio, Cohort study and Disruptive behavior. David M. Hougaard combines subjects such as Schizophrenia and Mental illness with his study of Genetics.
David M. Hougaard mainly focuses on Genome-wide association study, Odds ratio, Psychiatry, Genetics and Incidence. The subject of his Genome-wide association study research is within the realm of Single-nucleotide polymorphism. His Odds ratio study incorporates themes from Schizophrenia, Exome sequencing, Gestational age and Genetic association.
His work on Substance abuse, Cannabis and Psychosis as part of general Psychiatry research is frequently linked to Early life, bridging the gap between disciplines. His research brings together the fields of Coding and Genetics. His research in Incidence intersects with topics in Schizophrenia, Epidemiology, Lower risk, Confidence interval and Confounding.
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 variants conferring risk of schizophrenia
Hreinn Stefansson;Hreinn Stefansson;Roel A. Ophoff;Roel A. Ophoff;Roel A. Ophoff;Stacy Steinberg;Stacy Steinberg;Ole A. Andreassen.
Genome-wide association study identifies five new schizophrenia loci
Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)
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)
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)
Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection
Antonio F. Pardiñas;Peter Holmans;Andrew J. Pocklington;Valentina Escott-Price.
Nature Genetics (2018)
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.
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)
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