What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Haplotype, Single-nucleotide polymorphism, International HapMap Project and Genetic association.
His research on Haplotype focuses in particular on Linkage disequilibrium.
As part of the same scientific family, he usually focuses on Linkage disequilibrium, concentrating on Tag SNP and intersecting with Structural variation.
David J. Cutler works in the field of Single-nucleotide polymorphism, namely Imputation.
International HapMap Project is a subfield of Human genome that David J. Cutler tackles.
His research investigates the connection between Genetic association and topics such as Allele that intersect with problems in Penetrance and Disease.
His most cited work include:
- A haplotype map of the human genome (5144 citations)
- The International HapMap Project (5051 citations)
- A second generation human haplotype map of over 3.1 million SNPs (3819 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Gene, Disease, Single-nucleotide polymorphism and Immunology.
His work on Genetics deals in particular with Genetic association, Linkage disequilibrium, Exome sequencing, Genome and Haplotype.
His research in Single-nucleotide polymorphism tackles topics such as Allele which are related to areas like Missense mutation and Mutation.
His biological study spans a wide range of topics, including Crohn disease, Inflammatory bowel disease and DNA methylation.
His studies examine the connections between Inflammatory bowel disease and genetics, as well as such issues in Genome-wide association study, with regards to Locus and Computational biology.
His study on International HapMap Project is covered under Human genome.
He most often published in these fields:
- Genetics (63.51%)
- Gene (16.22%)
- Disease (13.51%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (63.51%)
- Disease (13.51%)
- Gene (16.22%)
In recent papers he was focusing on the following fields of study:
Genetics, Disease, Gene, Inflammatory bowel disease and Exome sequencing are his primary areas of study.
His study in Genetics concentrates on Copy-number variation, Whole genome sequencing, Craniofacial, Locus and Genetic architecture.
His work carried out in the field of Disease brings together such families of science as Single-nucleotide polymorphism, Genetic association and Ordinal data.
His Genetic association study combines topics from a wide range of disciplines, such as Statistics, Multivariate statistics, Leverage and Family history.
The study incorporates disciplines such as Computational biology and Case-control study in addition to Gene.
His Exome sequencing research also works with subjects such as
- Autism spectrum disorder which is related to area like Regulation of gene expression, False discovery rate and Exome,
- Genome-wide association study which intersects with area such as NOD2.
Between 2018 and 2021, his most popular works were:
- Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism (373 citations)
- Association of Early-Onset Alzheimer Disease With Elevated Low-Density Lipoprotein Cholesterol Levels and Rare Genetic Coding Variants of APOB. (36 citations)
- Recessive gene disruptions in autism spectrum disorder (35 citations)
In his most recent research, the most cited papers focused on:
David J. Cutler mainly focuses on Genetics, Exome sequencing, Copy-number variation, Gene and Autism spectrum disorder.
His Genetics research overlaps with Abundance and Dorsolateral prefrontal cortex.
In his study, Exome, Allele frequency, Ulcerative colitis and NOD2 is strongly linked to Genome-wide association study, which falls under the umbrella field of Exome sequencing.
His Copy-number variation study integrates concerns from other disciplines, such as Institutional repository, Phenotype, Microarray analysis techniques, Increased risk and Cohort.
In the field of Gene, his study on False discovery rate, Regulation of gene expression and Mutation overlaps with subjects such as Allelic Imbalance.
His work deals with themes such as Single-nucleotide polymorphism, Genetic association and Methylation, which intersect with Disease.
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