His primary scientific interests are in Genetics, Genome-wide association study, Genetic variation, Demography and Genetic association. His Genetics study often links to related topics such as Evolutionary biology. He interconnects Diabetes mellitus and Type 2 diabetes in the investigation of issues within Genome-wide association study.
He combines subjects such as Quantitative trait locus, Race and genetics and Cognitive psychology with his study of Genetic variation. The study incorporates disciplines such as Ancestry-informative marker and Genetic structure in addition to Demography. His studies in Genetic association integrate themes in fields like Microsatellite and Genetic admixture.
Hua Tang mainly focuses on Genetics, Genome-wide association study, Genetic association, Evolutionary biology and Allele. His study in Quantitative trait locus, Gene, Locus, Single-nucleotide polymorphism and Genotype are all subfields of Genetics. Hua Tang works mostly in the field of Genome-wide association study, limiting it down to concerns involving Genetic architecture and, occasionally, Blood cell.
His Genetic association research is multidisciplinary, relying on both Demography and Linkage disequilibrium. His work carried out in the field of Evolutionary biology brings together such families of science as Genetic diversity, Genome, Genetic admixture, Genotyping and Genetic genealogy. His research integrates issues of Blood pressure, Bioinformatics and Candidate gene in his study of Allele.
His primary areas of investigation include Genetics, Genome-wide association study, Computational biology, Gene and Genetic architecture. His studies deal with areas such as Pulse pressure and Blood lipids as well as Genetics. Linkage disequilibrium and Genetic variation is closely connected to Evolutionary biology in his research, which is encompassed under the umbrella topic of Genome-wide association study.
His Computational biology study incorporates themes from RNA, Expression quantitative trait loci and Coronary artery disease. His study in Genetic architecture is interdisciplinary in nature, drawing from both Blood cell and Genetic association. The various areas that Hua Tang examines in his Genetic association study include Genetic genealogy and Genetic diversity.
Hua Tang focuses on Genome-wide association study, Genetic architecture, Genetics, Computational biology and Blood cell. His work deals with themes such as Blood lipids, Cholesterol, Diastole and Medical genetics, which intersect with Genome-wide association study. His research in Genetic architecture intersects with topics in Evolutionary biology, Genetic association, Genetic genealogy and Genetic diversity.
His work in the fields of Genetics, such as Locus, intersects with other areas such as Mean arterial pressure. His biological study spans a wide range of topics, including RNA, Gene, Proteome and Transcriptome. His Blood cell study integrates concerns from other disciplines, such as Biobank, Allele and Mendelian inheritance.
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.
Worldwide human relationships inferred from genome-wide patterns of variation.
Jun Z. Li;Devin M. Absher;Hua Tang;Audrey M. Southwick.
The GTEx Consortium atlas of genetic regulatory effects across human tissues
F Aguet;AN Barbeira;R Bonazzola;A Brown.
The importance of race and ethnic background in biomedical research and clinical practice.
Esteban González Burchard;Elad Ziv;Natasha Coyle;Scarlett Lin Gomez.
The New England Journal of Medicine (2003)
Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes
Rui Chen;George I. Mias;Jennifer Li-Pook-Than;Lihua Jiang.
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)
Categorization of humans in biomedical research: genes, race and disease
Neil Risch;Neil Risch;Esteban Burchard;Elad Ziv;Hua Tang.
Genome Biology (2002)
Estimation of individual admixture: Analytical and study design considerations
Hua Tang;Jie Peng;Pei Wang;Neil J. Risch;Neil J. Risch.
Genetic Epidemiology (2005)
Genetic Structure, Self-Identified Race/Ethnicity, and Confounding in Case-Control Association Studies
Hua Tang;Tom Quertermous;Beatriz Rodriguez;Sharon L.R. Kardia.
American Journal of Human Genetics (2005)
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.
Alvaro N. Barbeira;Scott P. Dickinson;Rodrigo Bonazzola;Jiamao Zheng.
Nature Communications (2018)
Molecular and Evolutionary History of Melanism in North American Gray Wolves
Tovi M. Anderson;Bridgett M. vonHoldt;Sophie I. Candille;Marco Musiani.
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: