2023 - Research.com Genetics in Germany Leader Award
2022 - Research.com Best Female Scientist Award
Member of the European Molecular Biology Organization (EMBO)
Fellow of The Academy of Medical Sciences, United Kingdom
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 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.
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock.
A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity
Timothy M. Frayling;Nicholas J. Timpson;Michael N. Weedon;Eleftheria Zeggini;Eleftheria Zeggini;Eleftheria Zeggini.
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Eleftheria Zeggini;Michael N. Weedon;Cecilia M. Lindgren;Timothy M. Frayling.
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena.
Nature Genetics (2010)
Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes
E Zeggini;L J Scott;R Saxena;B F Voight.
Nature Genetics (2008)
A reference panel of 64,976 haplotypes for genotype imputation
Shane McCarthy;Sayantan Das;Warren Kretzschmar;Olivier Delaneau.
Nature Genetics (2016)
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris.
Nature Genetics (2010)
Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes
Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira.
Nature Genetics (2012)
Six new loci associated with body mass index highlight a neuronal influence on body weight regulation
Cristen J. Willer;Elizabeth K. Speliotes;Elizabeth K. Speliotes;Ruth J. F. Loos;Shengxu Li.
Nature Genetics (2009)
A genome-wide association search for type 2 diabetes genes in African Americans.
N D Palmer;C W McDonough;P J Hicks;B H Roh.
PLOS ONE (2012)
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