What is he best known for?
The fields of study he is best known for:
Ayellet V. Segrè mainly investigates Genetics, Genome-wide association study, Genetic association, Locus and Genetic architecture.
Ayellet V. Segrè has researched Genome-wide association study in several fields, including FTO gene, Genetics of obesity and Glucose homeostasis.
His research integrates issues of Regulation of gene expression, Gene expression and Type 2 diabetes in his study of Genetic association.
Ayellet V. Segrè combines subjects such as CDKAL1, Polygene, HNF1A, Genetic heterogeneity and SLC30A8 with his study of Locus.
His Genetic architecture study combines topics in areas such as Common disease-common variant, Expression quantitative trait loci, Single-nucleotide polymorphism, Allelic heterogeneity and Genetic variability.
His studies deal with areas such as Evolutionary biology and Case-control study as well as Gene.
His most cited work include:
- The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans (3083 citations)
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
What are the main themes of his work throughout his whole career to date?
Ayellet V. Segrè focuses on Genetics, Genome-wide association study, Gene, Computational biology and Genetic association.
His work in Expression quantitative trait loci, Quantitative trait locus, Regulation of gene expression, Single-nucleotide polymorphism and Genetic architecture are all subfields of Genetics research.
Ayellet V. Segrè focuses mostly in the field of Genetic architecture, narrowing it down to matters related to Common disease-common variant and, in some cases, Genetic variability.
His Genome-wide association study study incorporates themes from Locus, Allelic heterogeneity, Genome, Linkage disequilibrium and Glucose homeostasis.
His study focuses on the intersection of Locus and fields such as Body mass index with connections in the field of Copy-number variation.
His Genetic association research integrates issues from Case-control study, Type 2 diabetes and Glaucoma.
He most often published in these fields:
- Genetics (98.02%)
- Genome-wide association study (83.17%)
- Gene (60.40%)
What were the highlights of his more recent work (between 2019-2021)?
- Gene (60.40%)
- Computational biology (31.68%)
- Transcriptome (25.74%)
In recent papers he was focusing on the following fields of study:
Ayellet V. Segrè mainly focuses on Gene, Computational biology, Transcriptome, Genome-wide association study and Genetics.
In his work, Long non-coding RNA is strongly intertwined with Disease, which is a subfield of Gene.
The various areas that Ayellet V. Segrè examines in his Computational biology study include Phenotype, Secretory protein and Genomics.
His Transcriptome course of study focuses on Quantitative trait locus and Regulation of gene expression and Expression quantitative trait loci.
By researching both Genome-wide association study and Duration, Ayellet V. Segrè produces research that crosses academic boundaries.
His research investigates the connection between Genetics and topics such as Meta-analysis that intersect with problems in Polymorphism.
Between 2019 and 2021, his most popular works were:
- Pan-cancer analysis of whole genomes (538 citations)
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (238 citations)
- Cell type specific genetic regulation of gene expression across human tissues (91 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Quantitative trait locus, Gene, Regulation of gene expression, Transcriptome and Genetics.
The study incorporates disciplines such as Cell, Cell type, Expression quantitative trait loci, RNA splicing and Genotype in addition to Quantitative trait locus.
His studies in Gene expression, Genome-wide association study and Genetic variation are all subfields of Gene research.
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