The scientist’s investigation covers issues in Genome-wide association study, Genetics, Genetic association, Nanotechnology and Single-nucleotide polymorphism. His study in Genome-wide association study is interdisciplinary in nature, drawing from both Bioinformatics, Medical genetics, Meta-analysis, Locus and Heritability. His study in Gene, Genetic architecture, Quantitative trait locus, Allele and Allele frequency is done as part of Genetics.
His Genetic association research includes themes of Runs of Homozygosity, Glucose homeostasis, Imputation, Genetic variation and Confounding. His Nanotechnology study incorporates themes from Supercapacitor, Chemical engineering and Metal-organic framework. His Single-nucleotide polymorphism research focuses on Odds ratio and how it connects with Linkage disequilibrium, Genetic variability, TCF7L2 and Type 2 diabetes.
His primary areas of study are Genetics, Genome-wide association study, Internal medicine, Genetic association and Single-nucleotide polymorphism. Genetics and Meta-analysis are commonly linked in his work. His Genome-wide association study research incorporates themes from Bioinformatics, Medical genetics, Quantitative trait locus, Genetic architecture and Locus.
The concepts of his Internal medicine study are interwoven with issues in Gastroenterology, Endocrinology, Oncology and Cardiology. His study of SNP is a part of Single-nucleotide polymorphism.
Wei Zhao mainly focuses on Genetics, Genome-wide association study, Internal medicine, Genetic association and Meta-analysis. His work carried out in the field of Genome-wide association study brings together such families of science as Cholesterol, Locus and Gene–environment interaction. His work in Internal medicine addresses subjects such as Diabetes mellitus, which are connected to disciplines such as CpG site.
His Genetic association research focuses on Cognition and how it relates to Dementia. He has included themes like Biobank, Epidemiology, Blood pressure, Medical genetics and Risk factor in his Meta-analysis study. He focuses mostly in the field of Single-nucleotide polymorphism, narrowing it down to matters related to Genetic architecture and, in some cases, Heritability.
Genome-wide association study, Genetics, Genetic association, Meta-analysis and Locus are his primary areas of study. His studies deal with areas such as Quantitative trait locus, Genetic architecture, Cholesterol, Lipid metabolism and Genetic variation as well as Genome-wide association study. His work is dedicated to discovering how Genetic variation, Single-nucleotide polymorphism are connected with Metabolic network and other disciplines.
His Genetics research is multidisciplinary, incorporating elements of Blood lipids and Cognition. His work in Genetic association addresses issues such as Gene–environment interaction, which are connected to fields such as Minor allele frequency and Apolipoprotein B. The Meta-analysis study combines topics in areas such as README, Smoking cessation, Smoking initiation, Human genomics and Genetic etiology.
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Recent Advances in Ultrathin Two-Dimensional Nanomaterials
Chaoliang Tan;Xiehong Cao;Xiehong Cao;Xue-Jun Wu;Qiyuan He.
Chemical Reviews (2017)
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)
Genetic studies of body mass index yield new insights for obesity biology
Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice.
Faculty of Health; Institute of Health and Biomedical Innovation (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)
The genetic architecture of type 2 diabetes
Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan.
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang.
Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
Aysu Okbay;Bart M L Baselmans;Jan-Emmanuel De Neve;Patrick Turley.
Nature Genetics (2016)
Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
Robert A Scott;Vasiliki Lagou;Ryan P Welch;Eleanor Wheeler.
Nature Genetics (2012)
A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease
Majid Nikpay;Anuj Goel;Hong-Hee Won;Leanne M. Hall.
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