His primary areas of study are Genome-wide association study, Genetic association, Genetics, Bioinformatics and Medical genetics. His Genome-wide association study research integrates issues from Allele, Disease, Blood pressure and Genetic architecture. The concepts of his Genetic association study are interwoven with issues in Femoral neck, Minor allele frequency, Allele frequency and Locus.
In general Genetics study, his work on Polymorphism and Linkage disequilibrium often relates to the realm of Low frequency, thereby connecting several areas of interest. Evangelos Evangelou has researched Bioinformatics in several fields, including Sequencing data, Meta-Analysis as Topic, Genetic risk, Case-control study and Meta-analysis. The various areas that Evangelos Evangelou examines in his Medical genetics study include Quantitative trait locus, Cognition, Cognitive neuroscience and Heritability.
Evangelos Evangelou mainly investigates Genome-wide association study, Genetics, Internal medicine, Meta-analysis and Genetic association. His Genome-wide association study research includes themes of Locus, Blood pressure, Bioinformatics and Medical genetics. His study looks at the relationship between Internal medicine and fields such as Oncology, as well as how they intersect with chemical problems.
Evangelos Evangelou has included themes like Observational study, Randomized controlled trial, Systematic review and Environmental health in his Meta-analysis study. In his research, Disease and Type 2 Diabetes Mellitus is intimately related to Epidemiology, which falls under the overarching field of Observational study. His Genetic association research is multidisciplinary, incorporating perspectives in Polymorphism, Minor allele frequency, Allele frequency, Genetic epidemiology and Osteoporosis.
His primary scientific interests are in Internal medicine, Mendelian randomization, Disease, Genome-wide association study and Meta-analysis. He works mostly in the field of Internal medicine, limiting it down to topics relating to Oncology and, in certain cases, Melanoma and Demyelinating disease, as a part of the same area of interest. His Mendelian randomization research is multidisciplinary, relying on both Body mass index, Mendelian Randomization Analysis, Multiple sclerosis, Kidney and Risk factor.
His work is dedicated to discovering how Disease, Epidemiology are connected with Type 2 Diabetes Mellitus, Depression, Intensive care medicine and Genetic association and other disciplines. Genetics covers Evangelos Evangelou research in Genome-wide association study. His biological study deals with issues like Systematic review, which deal with fields such as Immunotherapy.
His primary areas of investigation include Genome-wide association study, Genetics, Mendelian randomization, Internal medicine and Genetic architecture. His work deals with themes such as Biobank and Genetic predisposition, which intersect with Genome-wide association study. Evangelos Evangelou studies Genetics, focusing on Medical genetics in particular.
Evangelos Evangelou combines subjects such as Nevus, Melanoma, Cutaneous melanoma and Single-nucleotide polymorphism with his study of Medical genetics. His work carried out in the field of Mendelian randomization brings together such families of science as Cardiology, Disease, Blood pressure and Risk factor. As a member of one scientific family, Evangelos Evangelou mostly works in the field of Genetic architecture, focusing on Blood cell and, on occasion, Allele and Mendelian inheritance.
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Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture
Karol Estrada;Unnur Styrkarsdottir;Evangelos Evangelou;Yi-Hsiang Hsu.
Nature Genetics (2012)
Uncertainty in heterogeneity estimates in meta-analyses
John P A Ioannidis;Nikolaos A Patsopoulos;Evangelos Evangelou.
BMJ (2007)
Seven new loci associated with age-related macular degeneration
Lars G. Fritsche;Lars G. Fritsche;Wei Chen;Wei Chen;Matthew Schu;Brian L. Yaspan.
Nature Genetics (2013)
Meta-analysis Methods for Genome-Wide Association Studies and Beyond
Evangelos Evangelou;John P. A. Ioannidis.
Nature Reviews Genetics (2013)
Sensitivity of between-study heterogeneity in meta-analysis: proposed metrics and empirical evaluation
Nikolaos A Patsopoulos;Evangelos Evangelou;John P A Ioannidis;John P A Ioannidis;John P A Ioannidis.
International Journal of Epidemiology (2008)
Environmental risk factors and multiple sclerosis: an umbrella review of systematic reviews and meta-analyses.
Lazaros Belbasis;Vanesa Bellou;Evangelos Evangelou;Evangelos Evangelou;John P A Ioannidis.
Lancet Neurology (2015)
Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries
Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung.
PLOS ONE (2018)
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.
Evangelos Evangelou;Evangelos Evangelou;Helen R. Warren;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsud.
Nature Genetics (2018)
Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk
Helen R Warren;Evangelos Evangelou;Evangelos Evangelou;Claudia P Cabrera;He Gao.
Nature Genetics (2017)
Identification of new susceptibility loci for osteoarthritis (arcOGEN): a genome-wide association study.
E Zeggini;K Panoutsopoulou.
The Lancet (2012)
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