What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Internal medicine.
His Genetics research focuses on Locus, Quantitative trait locus, Gene, Genetic architecture and Heritability.
The study incorporates disciplines such as Body mass index, Blood pressure, Disease, Allele and Candidate gene in addition to Genome-wide association study.
The various areas that he examines in his Genetic association study include Statistical hypothesis testing, Scoring algorithm, Type I and type II errors and Statistical power.
He combines subjects such as Urate transport, Gout and SLC22A12 with his study of Single-nucleotide polymorphism.
As a part of the same scientific family, he mostly works in the field of Internal medicine, focusing on Endocrinology and, on occasion, Minor allele frequency.
His most cited work include:
- 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)
- New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (1707 citations)
What are the main themes of his work throughout his whole career to date?
Sven Bergmann mainly investigates Genetics, Genome-wide association study, Virology, Gene and Virus.
His work in Genetics is not limited to one particular discipline; it also encompasses Endocrinology.
His Genome-wide association study research includes elements of Body mass index, Internal medicine, Genetic association, Computational biology and Genetic architecture.
His study in Computational biology is interdisciplinary in nature, drawing from both Molecular network and Human genome.
His research investigates the connection with Virology and areas like Carp which intersect with concerns in Common carp.
His study involves Gene expression and Regulation of gene expression, a branch of Gene.
He most often published in these fields:
- Genetics (58.60%)
- Genome-wide association study (44.59%)
- Virology (19.32%)
What were the highlights of his more recent work (between 2017-2021)?
- Virology (19.32%)
- Virus (11.68%)
- Molecular network (11.89%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Virology, Virus, Molecular network, Genome-wide association study and Genetics.
Sven Bergmann has included themes like Monoclonal antibody, Antibody, Immunization, Immune system and Cyprinus in his Virology study.
His studies deal with areas such as Grass carp, Common carp, Koi herpesvirus, Carp and Genotype as well as Virus.
His Molecular network research is multidisciplinary, incorporating perspectives in Disease mechanisms, Disease and Software engineering.
His research on Genome-wide association study also deals with topics like
- Computational biology that intertwine with fields like Identification methods,
- Non diabetic that intertwine with fields like Weight loss.
In his papers, Sven Bergmann integrates diverse fields, such as Genetics and Translational regulation.
Between 2017 and 2021, his most popular works were:
- Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis (293 citations)
- Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (145 citations)
- Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (145 citations)
In his most recent research, the most cited papers focused on:
Sven Bergmann mainly focuses on Genome-wide association study, Computational biology, Gene, Genetics and Molecular network.
His studies in Genome-wide association study integrate themes in fields like Expression quantitative trait loci and Genetic architecture.
His Computational biology research is multidisciplinary, relying on both Key, Disease and Genome scale.
His research on Genetics often connects related topics like Renal function.
His Molecular network research incorporates elements of Identification methods and Identification.
His biological study spans a wide range of topics, including Mutation, Frameshift mutation, Minor allele frequency, Allele frequency and Glucose homeostasis.
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