Her main research concerns Genome-wide association study, Genetics, Genetic association, Internal medicine and Bioinformatics. Her Genome-wide association study research is multidisciplinary, relying on both Genetic architecture, Genetic variation and Medical genetics. Her work in the fields of Genetics, such as Heritability, Minor allele frequency and Quantitative trait locus, overlaps with other areas such as Mesenchymal stem cell differentiation.
The various areas that Stella Trompet examines in her Genetic association study include SNP, Pulse pressure, Case-control study, Locus and Femoral neck. Her Internal medicine research focuses on Endocrinology and how it relates to Risk factor. Her Bioinformatics research includes elements of Odds, Allele, Atrial fibrillation and Binge drinking.
Stella Trompet mainly investigates Internal medicine, Genome-wide association study, Genetics, Cardiology and Genetic association. Internal medicine is closely attributed to Endocrinology in her research. Meta-analysis is closely connected to Bioinformatics in her research, which is encompassed under the umbrella topic of Genome-wide association study.
Within one scientific family, she focuses on topics pertaining to Disease under Genetics, and may sometimes address concerns connected to Blood pressure. In most of her Genetic association studies, her work intersects topics such as Quantitative trait locus. Her research investigates the link between Prospective cohort study and topics such as Cognitive decline that cross with problems in Cognition and Gerontology.
Stella Trompet spends much of her time researching Internal medicine, Disease, Genome-wide association study, Genetics and Prospective cohort study. Her work in the fields of Internal medicine, such as Odds ratio, Body mass index and Confidence interval, intersects with other areas such as Mendelian randomization. She combines subjects such as Metabolomics data, Allele and Risk factor with her study of Disease.
Her Genome-wide association study study combines topics in areas such as Bioinformatics, PR interval, Genetic association, Atrial fibrillation and Mendelian inheritance. Stella Trompet has researched Genetics in several fields, including Cognition and Pathogenesis. The Prospective cohort study study combines topics in areas such as Oncology, Cohort, Cholesterol, Pravastatin and Depression.
Internal medicine, Genome-wide association study, Genetics, Odds ratio and Mendelian randomization are her primary areas of study. Her research on Internal medicine frequently links to adjacent areas such as Cardiology. The study incorporates disciplines such as Heart failure, Bioinformatics, PR interval, Genetic association and Mendelian inheritance in addition to Genome-wide association study.
Her Genetic association study integrates concerns from other disciplines, such as Quantitative trait locus, QRS complex and QT interval. As part of her studies on Genetics, Stella Trompet frequently links adjacent subjects like Disease. Stella Trompet has included themes like Diabetes mellitus, Abdominal obesity and Cross-sectional study in her Odds ratio study.
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Defining the role of common variation in the genomic and biological architecture of adult human height
Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam.
Nature Genetics (2014)
Genetic studies of body mass index yield new insights for obesity biology
Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice.
Faculty of Health; Institute of Health and Biomedical Innovation (2015)
A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
M Nikpay;A Goel;Won H-H.;L M Hall.
Nature Genetics (2015)
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)
Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
Robert A Scott;Vasiliki Lagou;Ryan P Welch;Eleanor Wheeler.
Nature Genetics (2012)
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.
Alisa K. Manning;Alisa K. Manning;Alisa K. Manning;Robert A. Scott;Jonna L. Grimsby.
Nature Genetics (2012)
Association between alcohol and cardiovascular disease:Mendelian randomisation analysis based on individual participant data
Michael V Holmes;Michael V Holmes;Caroline E Dale;Luisa Zuccolo;Richard J Silverwood.
Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.
Anubha Mahajan;Daniel Taliun;Matthias Thurner;Neil R. Robertson.
Nature Genetics (2018)
A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease
Majid Nikpay;Anuj Goel;Hong-Hee Won;Leanne M. Hall.
Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure
Louise V. Wain;Germaine C. Verwoert;Paul F. O'Reilly;Gang Shi.
Nature Genetics (2011)
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