What is he best known for?
The fields of study he is best known for:
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.
His most cited work include:
- Integrative approaches for large-scale transcriptome-wide association studies (798 citations)
- Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores (575 citations)
- Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases (440 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Genome-wide association study (54.40%)
- Genetics (48.90%)
- Computational biology (37.91%)
What were the highlights of his more recent work (between 2019-2021)?
- Computational biology (37.91%)
- Genome-wide association study (54.40%)
- Expression quantitative trait loci (18.13%)
In recent papers he was focusing on the following fields of study:
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
- False positive rate that intertwine with fields like Sample size determination,
- Gene regulatory network most often made with reference to Autism spectrum disorder.
Between 2019 and 2021, his most popular works were:
- Massively parallel reporter assays of melanoma risk variants identify MX2 as a gene promoting melanoma. (116 citations)
- Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms. (53 citations)
- Prostate cancer reactivates developmental epigenomic programs during metastatic progression. (22 citations)
In his most recent research, the most cited papers focused on:
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
- Bayes' theorem that connect with fields like Genome-wide association study,
- Genetic variation together with Disease.
His research in Heritability intersects with topics in Biobank, Dominance and Genotype.
The study of Gene and Genetics are components of his Allele research.
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