What is she best known for?
The fields of study she is best known for:
- Gene
- Genetics
- Internal medicine
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Type 2 diabetes.
Her Genome-wide association study research incorporates elements of SNP, Medical genetics, Allele, Computational biology and Genetic architecture.
Her Genetic association study incorporates themes from Disease, Genetic predisposition and Blood pressure.
Her research in Single-nucleotide polymorphism intersects with topics in Immunology, Allele frequency and Heritability.
She has researched Type 2 diabetes in several fields, including CDKAL1, Internal medicine and TCF7L2.
Her Internal medicine research is multidisciplinary, incorporating elements of FTO gene and Biobank.
Her most cited work include:
- Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls (8085 citations)
- A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity (3507 citations)
- A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity (3507 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Internal medicine.
Her research on Genetics often connects related topics like Type 2 diabetes.
Eleftheria Zeggini has included themes like Bioinformatics, Genetic variation, Imputation, Computational biology and Genetic architecture in her Genome-wide association study study.
Her Single-nucleotide polymorphism research integrates issues from Immunology and Haplotype.
The various areas that Eleftheria Zeggini examines in her Internal medicine study include Endocrinology and Oncology.
Her work deals with themes such as FTO gene and Obesity, which intersect with Body mass index.
She most often published in these fields:
- Genetics (58.65%)
- Genome-wide association study (53.26%)
- Genetic association (35.28%)
What were the highlights of her more recent work (between 2019-2021)?
- Osteoarthritis (12.36%)
- Genome-wide association study (53.26%)
- Computational biology (18.43%)
In recent papers she was focusing on the following fields of study:
Osteoarthritis, Genome-wide association study, Computational biology, Gene and Bioinformatics are her primary areas of study.
Her biological study spans a wide range of topics, including Mendelian randomization, Phenotype, Bone mineral and Internal medicine, Disease.
Her Genome-wide association study research is classified as research in Genetics.
Her work in the fields of Genetics, such as SNP, Hla class ii and Single-nucleotide polymorphism, overlaps with other areas such as Podoconiosis.
Her Computational biology research is multidisciplinary, incorporating elements of Quantitative trait locus, Genetic architecture and Genome, Whole genome sequencing.
Her Bioinformatics research integrates issues from Genetic variation and Epigenome.
Between 2019 and 2021, her most popular works were:
- Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. (48 citations)
- Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts (14 citations)
- Strengthening Causal Inference for Complex Disease Using Molecular Quantitative Trait Loci. (12 citations)
In her most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
Her scientific interests lie mostly in Genetic association, Genome-wide association study, Diabetes mellitus, Type 2 diabetes and Genetics.
Her study with Genetic association involves better knowledge in Gene.
The study incorporates disciplines such as Odds ratio, Mendelian randomization, Quantitative trait locus, Lung cancer and Risk factor in addition to Genome-wide association study.
The Quantitative trait locus study combines topics in areas such as Glycated hemoglobin, Computational biology, Glycemic and Insulin resistance.
Her research on Diabetes mellitus concerns the broader Endocrinology.
Many of her studies on Type 2 diabetes involve topics that are commonly interrelated, such as Internal medicine.
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