Genome-wide association study, Genetics, Genetic association, Linkage disequilibrium and Quantitative trait locus are his primary areas of study. He has researched Genome-wide association study in several fields, including Transcriptome, Computational biology and Disease. His biological study focuses on Heritability.
His Genetic association research incorporates elements of Imputation, Correlation and dependence and Exome. His Linkage disequilibrium research integrates issues from Gene flow, Inference and Locus. His work carried out in the field of Quantitative trait locus brings together such families of science as Evolutionary biology, Genetic correlation, Bioinformatics, Pruning and Gene expression profiling.
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Computational biology, Genetic association and Gene. The Genome-wide association study study combines topics in areas such as Quantitative trait locus, Genetic architecture, Expression quantitative trait loci and Linkage disequilibrium. Genetics is frequently linked to Disease in his study.
Bogdan Pasaniuc has included themes like Exome sequencing, Sample size determination, Genomics, Multivariate statistics and DNA sequencing in his Computational biology study. The study incorporates disciplines such as SNP, Genetic variation, Prostate cancer and Candidate gene in addition to Genetic association. His research integrates issues of Posterior probability, Association mapping and Medical genetics in his study of Locus.
Bogdan Pasaniuc mainly focuses on Computational biology, Genome-wide association study, Expression quantitative trait loci, Single-nucleotide polymorphism and Genetic association. His Computational biology research is multidisciplinary, incorporating perspectives in Phenotype, Gene and Human genetics. His Gene research is included under the broader classification of Genetics.
His Genome-wide association study research incorporates themes from Meta-analysis, Cancer and Locus. His biological study spans a wide range of topics, including Evolutionary biology, Heritability and Quantitative trait locus, Genetic architecture. His Genetic association research also works with subjects such as
His primary scientific interests are in Evolutionary biology, Single-nucleotide polymorphism, Linkage disequilibrium, Heritability and Minor allele frequency. In Evolutionary biology, Bogdan Pasaniuc works on issues like Quantitative trait locus, which are connected to Summary statistics, Association test and Phenotype. The concepts of his Linkage disequilibrium study are interwoven with issues in Allele frequency and Genetic architecture.
His research on Allele frequency also deals with topics like
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.
Integrative approaches for large-scale transcriptome-wide association studies
Alexander Gusev;Alexander Gusev;Arthur Ko;Huwenbo Shi;Gaurav Bhatia;Gaurav Bhatia.
Nature Genetics (2016)
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev.
American Journal of Human Genetics (2015)
Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases
Alexander Gusev;S. Hong Lee;Gosia Trynka;Hilary Finucane.
American Journal of Human Genetics (2014)
Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies
Gleb Kichaev;Wen-Yun Yang;Sara Lindstrom;Farhad Hormozdiari.
PLOS Genetics (2014)
Using Extended Genealogy to Estimate Components of Heritability for 23 Quantitative and Dichotomous Traits
Noah Zaitlen;Phillip L. Kraft;Phillip L. Kraft;Nick Patterson;Bogdan Pasaniuc.
PLOS Genetics (2013)
Colocalization of GWAS and eQTL Signals Detects Target Genes
Farhad Hormozdiari;Martijn van de Bunt;Martijn van de Bunt;Ayellet V. Segrè;Xiao Li.
American Journal of Human Genetics (2016)
Identifying causal variants at loci with multiple signals of association.
Farhad Hormozdiari;Emrah Kostem;Eun Yong Kang;Bogdan Pasaniuc.
Dissecting the genetics of complex traits using summary association statistics
Bogdan Pasaniuc;Alkes L. Price;Alkes L. Price.
Nature Reviews Genetics (2017)
Leveraging Polygenic Functional Enrichment to Improve GWAS Power
Gleb Kichaev;Gaurav Bhatia;Po Ru Loh;Steven Gazal;Steven Gazal.
American Journal of Human Genetics (2019)
Contrasting the Genetic Architecture of 30 Complex Traits from Summary Association Data.
Huwenbo Shi;Gleb Kichaev;Bogdan Pasaniuc.
American Journal of Human Genetics (2016)
Profile was last updated on December 6th, 2021.
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