What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Genetics
His primary areas of investigation include Genetics, Genome-wide association study, Internal medicine, Single-nucleotide polymorphism and Genetic association.
His study in Allele, Genetic variation, Gene, Locus and Allele frequency falls under the purview of Genetics.
His Genome-wide association study study integrates concerns from other disciplines, such as Polymorphism, Bioinformatics, Case-control study and Quantitative trait locus, Genetic architecture.
Eric Boerwinkle combines subjects such as Endocrinology and Cardiology with his study of Internal medicine.
As a part of the same scientific study, Eric Boerwinkle usually deals with the Single-nucleotide polymorphism, concentrating on Heritability and frequently concerns with Human height.
His Genetic association research is multidisciplinary, incorporating elements of Atrial fibrillation and Candidate gene.
His most cited work include:
- A global reference for human genetic variation. (7825 citations)
- Biological, clinical and population relevance of 95 loci for blood lipids (2804 citations)
- Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease (2614 citations)
What are the main themes of his work throughout his whole career to date?
Eric Boerwinkle mainly focuses on Genetics, Internal medicine, Genome-wide association study, Endocrinology and Single-nucleotide polymorphism.
Genetics is a component of his Gene, Allele, Locus, Exome sequencing and Allele frequency studies.
Eric Boerwinkle interconnects Diabetes mellitus and Cardiology in the investigation of issues within Internal medicine.
The concepts of his Cardiology study are interwoven with issues in Stroke and Prospective cohort study.
His study on Genome-wide association study also encompasses disciplines like
- Genetic association and related Linkage disequilibrium,
- Bioinformatics, which have a strong connection to Disease.
His research in Single-nucleotide polymorphism intersects with topics in Polymorphism and Haplotype.
He most often published in these fields:
- Genetics (64.33%)
- Internal medicine (46.40%)
- Genome-wide association study (38.11%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (64.33%)
- Internal medicine (46.40%)
- Genome-wide association study (38.11%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Genetics, Internal medicine, Genome-wide association study, Gene and Disease.
His research brings together the fields of PCSK9 and Genetics.
His Internal medicine study combines topics from a wide range of disciplines, such as Endocrinology and Cardiology.
His Genome-wide association study research is included under the broader classification of Single-nucleotide polymorphism.
As part of the same scientific family, Eric Boerwinkle usually focuses on Gene, concentrating on Sleep in non-human animals and intersecting with Explained variation and Lipid profile.
His Locus research integrates issues from Exome and Genotype.
Between 2018 and 2021, his most popular works were:
- Genetic analyses of diverse populations improves discovery for complex traits (209 citations)
- Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program (143 citations)
- Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program (143 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Mutation
His primary scientific interests are in Genetics, Genome-wide association study, Internal medicine, Computational biology and Disease.
His study in Locus, Candidate gene, Exome sequencing, Genetic variation and Gene are all subfields of Genetics.
The various areas that Eric Boerwinkle examines in his Genome-wide association study study include SNP, Blood lipids, Cholesterol, Genetic association and Lipid metabolism.
Eric Boerwinkle has researched Internal medicine in several fields, including Endocrinology and Cardiology.
The Computational biology study combines topics in areas such as Genome, Whole genome sequencing, Mendelian inheritance and DNA sequencing.
His research integrates issues of Stroke and Heart failure in his study of Disease.
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