What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Genetics
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.
His most cited work include:
- Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
- Genome-wide association study identifies five new schizophrenia loci (1474 citations)
- Common variants conferring risk of schizophrenia (1378 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Genome-wide association study (34.19%)
- Internal medicine (24.57%)
- Genetics (26.28%)
What were the highlights of his more recent work (between 2019-2021)?
- Genome-wide association study (34.19%)
- Autism spectrum disorder (13.25%)
- Cohort (16.45%)
In recent papers he was focusing on the following fields of study:
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.
Between 2019 and 2021, his most popular works were:
- Foetal oestrogens and autism (43 citations)
- Genetics of suicide attempts in individuals with and without mental disorders: a population-based genome-wide association study. (43 citations)
- Genetics of suicide attempts in individuals with and without mental disorders: a population-based genome-wide association study. (43 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- 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.
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