Joshua C. Bis spends much of his time researching Genome-wide association study, Genetics, Genetic association, Internal medicine and Single-nucleotide polymorphism. His Genome-wide association study research includes themes of Bioinformatics, Blood pressure, Medical genetics, Meta-analysis and Disease. Joshua C. Bis regularly ties together related areas like Case-control study in his Genetics studies.
Joshua C. Bis combines subjects such as Sex characteristics, Mass index and Locus with his study of Genetic association. His research integrates issues of Endocrinology and Cardiology in his study of Internal medicine. His work deals with themes such as Odds ratio and KLF14, which intersect with Single-nucleotide polymorphism.
Joshua C. Bis focuses on Genome-wide association study, Genetics, Internal medicine, Genetic association and Single-nucleotide polymorphism. His Genome-wide association study research is multidisciplinary, incorporating elements of Bioinformatics, Meta-analysis, Disease, Allele and Locus. His Internal medicine research integrates issues from Endocrinology, Oncology and Cardiology.
His studies in Genetic association integrate themes in fields like Quantitative trait locus, Alzheimer's disease, Linkage disequilibrium and Blood pressure. The various areas that he examines in his Single-nucleotide polymorphism study include Polymorphism and Haplotype. His Stroke research focuses on subjects like Myocardial infarction, which are linked to Coronary artery disease.
His primary areas of study are Genome-wide association study, Genetics, Disease, Internal medicine and Genetic association. As a part of the same scientific family, he mostly works in the field of Genome-wide association study, focusing on Heritability and, on occasion, Genetic heterogeneity. Gene, Genome, Locus, Minor allele frequency and Genetic variation are subfields of Genetics in which his conducts study.
His Disease research incorporates themes from Meta-analysis, Computational biology and Genotype. His research in Internal medicine intersects with topics in Endocrinology, Single-nucleotide polymorphism, Oncology and Cardiology. Joshua C. Bis combines subjects such as Generalized linear mixed model, Bioinformatics, Type I and type II errors, Whole genome sequencing and Allele with his study of Genetic association.
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Genetic association, Gene and Genetic variation. His Genome-wide association study study combines topics in areas such as Exome sequencing, Medical genetics, Heritability, Minor allele frequency and Genetic architecture. His Genetic association research includes themes of Kernel, Case-control study, Generalized linear mixed model and Bioinformatics.
His studies in Gene integrate themes in fields like Alzheimer's disease, Dementia and Disease. His study in Genetic variation is interdisciplinary in nature, drawing from both Locus, Germline and Somatic cell. Joshua C. Bis focuses mostly in the field of Allele frequency, narrowing it down to matters related to Polymorphism and, in some cases, Single-nucleotide polymorphism and Endocrinology.
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.
Biological, clinical and population relevance of 95 loci for blood lipids
Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson.
Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease
Jean-Charles Lambert;Jean-Charles Lambert;Jean-Charles Lambert;Carla A Ibrahim-Verbaas;Denise Harold;Adam C Naj.
Nature Genetics (2013)
Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci
Andre Franke;Dermot P B McGovern;Jeffrey C. Barrett;Kai Wang.
Nature Genetics (2010)
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud.
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)
Genome-wide association study of blood pressure and hypertension.
Daniel Levy;Georg B. Ehret;Georg B. Ehret;Kenneth Rice;Germaine C. Verwoert.
Nature Genetics (2009)
Genome-wide analysis of genetic loci associated with Alzheimer disease.
Sudha Seshadri;Annette L. Fitzpatrick;M Arfan Ikram;Anita L. DeStefano.
Gene-wide analysis detects two new susceptibility genes for Alzheimer's disease
Valentina Escott-Price;Céline Bellenguez;Li-San Wang;Seung-Hoan Choi.
PLOS ONE (2014)
Genome-wide meta-analyses identify multiple loci associated with smoking behavior
Helena Furberg;Yunjung Kim;Jennifer Dackor;Eric Boerwinkle.
Nature Genetics (2010)
Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson’s disease
Mike A. Nalls;Nathan Pankratz;Christina M. Lill;Chuong B. Do.
Profile was last updated on December 6th, 2021.
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