What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Quantitative trait locus.
His Genome-wide association study research is multidisciplinary, incorporating perspectives in Bioinformatics, Case-control study, Genomics, Heritability and Genetic architecture.
The Genetics study combines topics in areas such as Body mass index and Obesity.
His Genetic association study incorporates themes from Bipolar disorder, Meta-analysis, Internal medicine, Blood pressure and Medical genetics.
His work on SNP as part of general Single-nucleotide polymorphism study is frequently connected to SCARB1, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His research integrates issues of Polymorphism, Menarche and Type 2 diabetes in his study of Quantitative trait locus.
His most cited work include:
- Biological, clinical and population relevance of 95 loci for blood lipids (2804 citations)
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
- A genome-wide association search for type 2 diabetes genes in African Americans. (1727 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Genetics, Genome-wide association study, Single-nucleotide polymorphism, Genetic association and Heritability.
His study in Locus, Quantitative trait locus, Allele, Genetic variation and Gene are all subfields of Genetics.
His work deals with themes such as Body mass index, Internal medicine, Meta-analysis, Genetic architecture and Candidate gene, which intersect with Genome-wide association study.
His work investigates the relationship between Internal medicine and topics such as Type 2 diabetes that intersect with problems in Birth weight.
The concepts of his Single-nucleotide polymorphism study are interwoven with issues in Polymorphism and Migraine.
His Genetic association study deals with Major depressive disorder intersecting with Schizophrenia and Clinical psychology.
He most often published in these fields:
- Genetics (63.80%)
- Genome-wide association study (61.76%)
- Single-nucleotide polymorphism (30.09%)
What were the highlights of his more recent work (between 2018-2021)?
- Genome-wide association study (61.76%)
- Genetics (63.80%)
- Genetic architecture (11.54%)
In recent papers he was focusing on the following fields of study:
Genome-wide association study, Genetics, Genetic architecture, Genetic association and Heritability are his primary areas of study.
His Genome-wide association study study is concerned with Single-nucleotide polymorphism in general.
His Genetics research incorporates elements of Bipolar disorder and Schizophrenia.
His studies deal with areas such as Mood, Genetic variation, Neuroscience and Genomics as well as Genetic architecture.
His Genetic association research integrates issues from Meta-analysis, SNP, Oncology and Evolutionary biology.
His Heritability study integrates concerns from other disciplines, such as Statistics, Row, Column and Supplementary data.
Between 2018 and 2021, his most popular works were:
- Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (385 citations)
- Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders (242 citations)
- Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors (129 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
His primary areas of investigation include Genome-wide association study, Genetics, Genetic architecture, Genetic association and Meta-analysis.
The study incorporates disciplines such as SNP, Mendelian randomization, Schizophrenia, Bipolar disorder and Brain morphometry in addition to Genome-wide association study.
Jouke-Jan Hottenga connects Genetics with FAT1 in his research.
In his research on the topic of Genetic architecture, Cortex, Cerebral cortex and Brain mapping is strongly related with Genetic variation.
Single-nucleotide polymorphism covers he research in Genetic association.
His Meta-analysis research is multidisciplinary, incorporating elements of Univariate, Gene, Model organism, Transcriptome and Heritability.
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