His scientific interests lie mostly in Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Candidate gene. His Genome-wide association study study integrates concerns from other disciplines, such as Bioinformatics, Medical genetics, Allele, Locus and Genetic architecture. His Genetics research is multidisciplinary, incorporating elements of Coronary artery disease, Internal medicine and Case-control study.
His Genetic association research is multidisciplinary, incorporating perspectives in Pulse pressure, SNP genotyping, Genotyping, Genetic epidemiology and Creatinine. Christopher P. Nelson combines subjects such as Uric acid, Hyperuricemia, SLC22A12, Gout and SLC2A9 with his study of Candidate gene. The study incorporates disciplines such as Genetic predisposition and Allelic heterogeneity in addition to 1000 Genomes Project.
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Internal medicine, Genetic association and Coronary artery disease. His Genome-wide association study study combines topics in areas such as Candidate gene, Bioinformatics, Medical genetics, Disease and Genetic architecture. His research in Single-nucleotide polymorphism, Locus, Gene, Minor allele frequency and Allele frequency are components of Genetics.
His Internal medicine study incorporates themes from Endocrinology and Cardiology. His study in Genetic association is interdisciplinary in nature, drawing from both Framingham Risk Score, Logistic regression, Quantitative trait locus, Meta-analysis and Heritability. His studies in Coronary artery disease integrate themes in fields like Multifunction cardiogram, Diabetes mellitus, Case-control study, Residual risk and Heart disease.
His main research concerns Genome-wide association study, Genetics, Internal medicine, Genetic association and Cardiology. His Genome-wide association study study combines topics in areas such as Genetic predisposition, PR interval, Medical genetics and Quantitative trait locus, Genetic architecture. His studies deal with areas such as Polymorphism and Blood pressure as well as Medical genetics.
Christopher P. Nelson works mostly in the field of Genetics, limiting it down to topics relating to Alcohol consumption and, in certain cases, Functional studies. His Genetic association study is associated with Single-nucleotide polymorphism. Christopher P. Nelson works mostly in the field of Single-nucleotide polymorphism, limiting it down to topics relating to Epistasis and, in certain cases, Additive genetic effects, as a part of the same area of interest.
Christopher P. Nelson focuses on Genome-wide association study, Genetics, Genetic association, Medical genetics and Genetic architecture. He has included themes like Cancer, QRS complex, Heart failure, Allele frequency and Sudden cardiac death in his Genome-wide association study study. His Telomere study in the realm of Genetics connects with subjects such as Gene mapping.
His work deals with themes such as Quantitative trait locus, Minor allele frequency and Biobank, Bioinformatics, which intersect with Genetic association. His biological study spans a wide range of topics, including Pulse pressure, Blood pressure, Thyroid cancer, Disease and Biomarker. His work in Genetic architecture addresses issues such as Polymorphism, which are connected to fields such as Gene–environment interaction, Genomics and Epistasis.
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.
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 comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
M Nikpay;A Goel;Won H-H.;L M Hall.
Nature Genetics (2015)
Genome-wide association study identifies 74 loci associated with educational attainment
Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee.
Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries
Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung.
PLOS ONE (2018)
Interleukin-6 receptor pathways in coronary heart disease: a collaborative meta-analysis of 82 studies
Nadeem Sarwar;Adam S. Butterworth;Daniel F. Freitag;John Gregson.
web science (2012)
Identification of seven loci affecting mean telomere length and their association with disease
Veryan Codd;Christopher P Nelson;Eva Albrecht;Massimo Mangino.
Nature Genetics (2013)
DNA methylation and body-mass index: a genome-wide analysis
Katherine J Dick;Katherine J Dick;Christopher P Nelson;Christopher P Nelson;Loukia Tsaprouni;Johanna K Sandling;Johanna K Sandling.
The Lancet (2014)
Genome-wide association analyses identify 18 new loci associated with serum urate concentrations
Anna Köttgen;Anna Köttgen;Eva Albrecht;Alexander Teumer;Veronique Vitart.
Nature Genetics (2013)
A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease
Majid Nikpay;Anuj Goel;Hong-Hee Won;Leanne M. Hall.
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.
Evangelos Evangelou;Evangelos Evangelou;Helen R. Warren;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsud.
Nature Genetics (2018)
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: