1987 - Sonnenwirth Award for Leadership in Clinical Microbiology, American Society for Microbiology
David Schlessinger spends much of his time researching Genetics, Genome-wide association study, Single-nucleotide polymorphism, Internal medicine and Endocrinology. His study in Genetics is interdisciplinary in nature, drawing from both Body mass index and Disease. His Body mass index research integrates issues from Obesity, SH2B1 and Glucose homeostasis.
His research integrates issues of Quantitative trait locus, FTO gene, Genetic association and Bioinformatics in his study of Genome-wide association study. His research investigates the connection between Single-nucleotide polymorphism and topics such as Lipid metabolism that intersect with issues in KLF14, Liver function and Liver disease. His Internal medicine research is multidisciplinary, relying on both Diabetes mellitus, Type 2 diabetes and Female sex determination.
David Schlessinger mainly investigates Genetics, Genome-wide association study, Internal medicine, Endocrinology and Molecular biology. As a part of the same scientific family, David Schlessinger mostly works in the field of Genetics, focusing on Body mass index and, on occasion, Obesity. His Genome-wide association study study integrates concerns from other disciplines, such as Bioinformatics, Quantitative trait locus, Disease, Allele and Candidate gene.
Internal medicine is closely attributed to Cardiology in his research. His Endocrinology study combines topics in areas such as Gene expression and Cell biology. David Schlessinger combines subjects such as RNA, Ribosomal RNA, Biochemistry and Escherichia coli with his study of Molecular biology.
David Schlessinger mostly deals with Genetics, Genome-wide association study, Internal medicine, Genetic association and Gene. His study connects QRS complex and Genetics. Genome-wide association study is a subfield of Single-nucleotide polymorphism that David Schlessinger tackles.
His work deals with themes such as Endocrinology, Cell biology and Cardiology, which intersect with Internal medicine. His work carried out in the field of Genetic association brings together such families of science as Imputation and Computational biology. His Behavioural genetics research is multidisciplinary, incorporating elements of Neuroticism and Heritability.
His main research concerns Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Quantitative trait locus. His studies deal with areas such as Phenotype, Neuroticism, Disease and Genetic variation as well as Genome-wide association study. His Genetics study is mostly concerned with Behavioural genetics, Medical genetics, Heritability, Gene and Genetic architecture.
As a member of one scientific family, David Schlessinger mostly works in the field of Genetic association, focusing on Imputation and, on occasion, Genome informatics, Data mining and Genotype imputation. His biological study spans a wide range of topics, including PR interval, Fibrillation, Atrial fibrillation and Cardiac conduction. His Quantitative trait locus research includes themes of Druggability, Computational biology, Biological target and Drug discovery.
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, clinical and population relevance of 95 loci for blood lipids
Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson.
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)
Genetic studies of body mass index yield new insights for obesity biology
Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice.
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)
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Next-generation genotype imputation service and methods.
Sayantan Das;Lukas Forer;Sebastian Schönherr;Carlo Sidore;Carlo Sidore.
Nature Genetics (2016)
A reference panel of 64,976 haplotypes for genotype imputation
Shane McCarthy;Sayantan Das;Warren Kretzschmar;Olivier Delaneau.
Nature Genetics (2016)
Six new loci associated with body mass index highlight a neuronal influence on body weight regulation
Cristen J. Willer;Elizabeth K. Speliotes;Elizabeth K. Speliotes;Ruth J. F. Loos;Shengxu Li.
Nature Genetics (2009)
Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits.
Angelo Scuteri;Serena Sanna;Wei-Min Chen;Manuela Uda.
PLOS Genetics (2005)
Newly identified loci that influence lipid concentrations and risk of coronary artery disease
Cristen J. Willer;Serena Sanna;Anne U. Jackson;Angelo Scuteri.
Nature Genetics (2008)
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: