What is he best known for?
The fields of study he is best known for:
Vincent Plagnol mostly deals with Genetics, Genome-wide association study, Single-nucleotide polymorphism, Locus and Genetic association.
His is involved in several facets of Genetics study, as is seen by his studies on Haplotype, Genotyping, Linkage disequilibrium, Gene and Copy-number variation.
His Genome-wide association study research is multidisciplinary, relying on both LRRK2, Meta-analysis, Human leukocyte antigen, Computational biology and Candidate gene.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating elements of Case-control study and Genetic variation.
His Locus research includes elements of Type 1 diabetes, Genetic linkage, Allele and Genotype.
His Genetic association research integrates issues from SNP and Allele frequency.
His most cited work include:
- Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes (1358 citations)
- Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes. (1245 citations)
- Markov chain Monte Carlo without likelihoods (950 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Exome sequencing, Genome-wide association study, Single-nucleotide polymorphism and Mutation.
His research related to Exome, Genetic association, Gene, Locus and Missense mutation might be considered part of Genetics.
The Exome study combines topics in areas such as Sanger sequencing and Genetic linkage.
He interconnects Retinal, Disease and Bioinformatics in the investigation of issues within Exome sequencing.
The study incorporates disciplines such as Copy-number variation, Allele frequency, Expression quantitative trait loci, Genotyping and Candidate gene in addition to Genome-wide association study.
His biological study spans a wide range of topics, including Genetic variation and Haplotype.
He most often published in these fields:
- Genetics (48.16%)
- Exome sequencing (17.28%)
- Genome-wide association study (16.91%)
What were the highlights of his more recent work (between 2017-2021)?
- Cell biology (6.99%)
- Gene (12.13%)
- Cancer research (5.15%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cell biology, Gene, Cancer research, Liquid biopsy and Internal medicine.
His Cell biology study combines topics in areas such as Transcription and RNA splicing.
Gene is a subfield of Genetics that Vincent Plagnol studies.
His Genetics research is multidisciplinary, incorporating perspectives in Myeloid, Myeloid leukemia and Disease.
His studies in Liquid biopsy integrate themes in fields like ROS1, DNA sequencing, Computational biology and Polymerase chain reaction.
His Internal medicine research incorporates elements of Oncology, Locus and Cardiology.
Between 2017 and 2021, his most popular works were:
- Biallelic RIPK1 mutations in humans cause severe immunodeficiency, arthritis, and intestinal inflammation (82 citations)
- Mice with endogenous TDP‐43 mutations exhibit gain of splicing function and characteristics of amyotrophic lateral sclerosis (65 citations)
- Amplicon-based next-generation sequencing of plasma cell-free DNA for detection of driver and resistance mutations in advanced non-small cell lung cancer. (61 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Digital polymerase chain reaction, Amplicon, Liquid biopsy, Mutation and Genetics.
His Liquid biopsy research includes themes of Progressive disease, Oncology, Polymerase chain reaction, Computational biology and DNA sequencing.
His research integrates issues of Loss function and TARDBP in his study of Mutation.
His is doing research in Arts syndrome, Genetic linkage, Retinal Dystrophies, Retinal degeneration and Genetic variation, both of which are found in Genetics.
As part of his studies on Genetic variation, he often connects relevant areas like Genome-wide association study.
His Genome-wide association study study incorporates themes from Exome sequencing, Population genetics, Founder effect, Allele frequency and Genetic epidemiology.
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