Genetics, Genome-wide association study, Exome, Exome sequencing and Allele frequency are his primary areas of study. He interconnects Cholesterol and Lipoprotein in the investigation of issues within Genetics. He combines subjects such as Coronary artery disease, Genotyping and Bioinformatics with his study of Genome-wide association study.
His Exome study integrates concerns from other disciplines, such as Odds ratio, Internal medicine, Endocrinology and Genetic variation. Ron Do has researched Exome sequencing in several fields, including Nonsense mutation, Missense mutation and Genotype, Apolipoprotein C3. His work in Allele frequency addresses issues such as Locus, which are connected to fields such as Copy-number variation, Genetic epidemiology and Age of onset.
His primary scientific interests are in Genetics, Genome-wide association study, Internal medicine, Exome sequencing and Exome. His works in Gene, Single-nucleotide polymorphism, Allele frequency, Genetic variation and Allele are all subjects of inquiry into Genetics. His Genome-wide association study research is multidisciplinary, incorporating perspectives in Bioinformatics, Coronary artery disease, Phenotype, Genetic association and Locus.
His Internal medicine research is multidisciplinary, relying on both Endocrinology, Oncology and Cardiology. His Exome sequencing research integrates issues from Missense mutation and Sequence analysis. His Exome research incorporates elements of Genotype, Genetic linkage, Lipoprotein and PCSK9.
Ron Do mainly investigates Biobank, Genetics, Internal medicine, Phenotype and Genome-wide association study. His work deals with themes such as Heart failure, Cardiology, Transthyretin and Single-nucleotide polymorphism, Genetic association, which intersect with Biobank. His Genetics study combines topics from a wide range of disciplines, such as Natural selection and Disease.
His work carried out in the field of Internal medicine brings together such families of science as Endocrinology, Type 2 diabetes and Emergency medicine. The concepts of his Phenotype study are interwoven with issues in Computational biology and Genetic variation. The various areas that Ron Do examines in his Genome-wide association study study include DECIPHER and Allelic heterogeneity.
Ron Do mainly focuses on Phenotype, Computational biology, Gene, Genome-wide association study and Biobank. The Computational biology study combines topics in areas such as DECIPHER, Mendelian inheritance and Allelic heterogeneity. His studies in Genome-wide association study integrate themes in fields like Exome sequencing and Exome.
Ron Do has included themes like Clinical trial, Adverse effect, Expression quantitative trait loci, Genotype and Genetic variation in his Biobank study.
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.
Analysis of protein-coding genetic variation in 60,706 humans
Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha.
Nature (2016)
Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study
Benjamin F. Voight;Benjamin F. Voight;Benjamin F. Voight;Gina M. Peloso;Gina M. Peloso;Marju Orho-Melander;Ruth Frikke-Schmidt.
web science (2012)
Discovery and refinement of loci associated with lipid levels
Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso.
Nature Genetics (2013)
Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
Heribert Schunkert;Inke R. König;Sekar Kathiresan;Muredach P. Reilly.
Nature Genetics (2011)
A high-coverage genome sequence from an archaic Denisovan individual
Matthias Meyer;Martin Kircher;Marie Theres Gansauge;Heng Li.
Science (2012)
Evolution and Functional Impact of Rare Coding Variation from Deep Sequencing of Human Exomes
Jacob A. Tennessen;Abigail W. Bigham;Timothy D. O'Connor;Wenqing Fu.
Science (2012)
Large-scale association analysis identifies new risk loci for coronary artery disease
Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall.
Nature Genetics (2013)
Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants.
Sekar Kathiresan;Benjamin F Voight;Shaun Purcell;Kiran Musunuru.
Nature Genetics (2009)
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev.
American Journal of Human Genetics (2015)
Common variants associated with plasma triglycerides and risk for coronary artery disease
Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta.
Nature Genetics (2013)
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