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.
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.
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
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.
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.
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena.
Nature Genetics (2010)
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)
J Dupuis;C Langenberg;I Prokopenko;R Saxena.
Nature Genetics (2010)
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud.
Defining the role of common variation in the genomic and biological architecture of adult human height
Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam.
Nature Genetics (2014)
A genome-wide association search for type 2 diabetes genes in African Americans.
N D Palmer;C W McDonough;P J Hicks;B H Roh.
PLOS ONE (2012)
Genes mirror geography within Europe.
John Novembre;Toby Johnson;Toby Johnson;Katarzyna Bryc;Zoltán Kutalik.
Genetic Variation in IL28B Is Associated With Chronic Hepatitis C and Treatment Failure: A Genome-Wide Association Study
Andri Rauch;Zoltán Kutalik;Zoltán Kutalik;Patrick Descombes;Tao Cai.
Genome-wide association study identifies eight loci associated with blood pressure
Christopher Newton-Cheh;Christopher Newton-Cheh;Toby Johnson;Toby Johnson;Vesela Gateva;Martin D. Tobin.
Nature Genetics (2009)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: