2023 - Research.com Genetics in United Kingdom Leader Award
David Evans mainly investigates Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Internal medicine. His Genome-wide association study research incorporates elements of Odds ratio, Phenotype, Immunology, Quantitative trait locus and Type 2 diabetes. In his study, Heritability is strongly linked to Biobank, which falls under the umbrella field of Phenotype.
His study in Locus, Candidate gene, Allele, Haplotype and Allele frequency are all subfields of Genetics. His Single-nucleotide polymorphism study incorporates themes from Bone mineral, Bone density, Osteoporosis and Major histocompatibility complex. His work carried out in the field of Genetic association brings together such families of science as Linkage disequilibrium, Genetic predisposition and Genetic architecture.
David Evans mainly focuses on Genome-wide association study, Genetics, Single-nucleotide polymorphism, Internal medicine and Genetic association. His research integrates issues of Immunology, Bone mineral, Meta-analysis, Heritability and Genetic variation in his study of Genome-wide association study. His work on Bone density expands to the thematically related Bone mineral.
His study in Genetics focuses on Allele, Quantitative trait locus, Locus, Genotype and Linkage disequilibrium. As part of his studies on Single-nucleotide polymorphism, he often connects relevant subjects like Longitudinal study. His studies deal with areas such as Endocrinology and Oncology as well as Internal medicine.
The scientist’s investigation covers issues in Offspring, Genome-wide association study, Mendelian randomization, Internal medicine and Single-nucleotide polymorphism. Offspring is a subfield of Genetics that he investigates. His work in Genome-wide association study addresses issues such as Genetic association, which are connected to fields such as Genetic predisposition.
His Mendelian randomization research incorporates themes from Observational study, Assortative mating, Population stratification, Mendelian Randomization Analysis and Causal inference. In general Internal medicine study, his work on Osteoporosis and Cohort study often relates to the realm of Context, thereby connecting several areas of interest. Within one scientific family, David Evans focuses on topics pertaining to Confidence interval under Single-nucleotide polymorphism, and may sometimes address concerns connected to Triglyceride.
His primary areas of study are Offspring, Mendelian randomization, Single-nucleotide polymorphism, Genome-wide association study and Internal medicine. His Offspring study combines topics in areas such as Peer review, Birth weight and Genotype. His Mendelian randomization research is multidisciplinary, incorporating perspectives in Assortative mating, Population stratification, Demography, Mendelian Randomization Analysis and Causal inference.
As a member of one scientific family, David Evans mostly works in the field of Single-nucleotide polymorphism, focusing on Confidence interval and, on occasion, Triglyceride. As a part of the same scientific study, David Evans usually deals with the Genome-wide association study, concentrating on Genetic association and frequently concerns with Mixed model. His Internal medicine study deals with Endocrinology intersecting with In vitro and Zebrafish.
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.
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock.
Nature (2007)
A haplotype map of the human genome
John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol.
(2005)
A second generation human haplotype map of over 3.1 million SNPs
Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds.
(2007)
Factors associated with COVID-19-related death using OpenSAFELY.
Elizabeth J Williamson;Alex J Walker;Krishnan Bhaskaran;Seb Bacon.
Nature (2020)
Some Empirical Aspects of Entrepreneurship
David S Evans;Linda S Leighton.
The American Economic Review (1989)
Observation of the diphoton decay of the Higgs boson and measurement of its properties
Vardan Khachatryan;Robin Erbacher;Camilo Andres Carrillo Montoya;Chang-Seong Moon.
European Physical Journal C (2014)
The Relationship between Firm Growth, Size, and Age: Estimates for 100 Manufacturing Industries.
David S. Evans.
Journal of Industrial Economics (1987)
Genome-wide detection and characterization of positive selection in human populations
Pardis C. Sabeti;Pardis C. Sabeti;Patrick Varilly;Patrick Varilly;Ben Fry;Jason Lohmueller.
(2007)
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)
The MR-Base platform supports systematic causal inference across the human phenome
Gibran Hemani;Jie Zheng;Benjamin Elsworth;Kaitlin H Wade.
eLife (2018)
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