Her main research concerns Genetics, Genome-wide association study, Genetic association, Quantitative trait locus and Single-nucleotide polymorphism. Her Genetics research is multidisciplinary, incorporating elements of Bone density and Computational biology. Her research in Genome-wide association study intersects with topics in Case-control study, Linkage disequilibrium, Disease and Genetic architecture.
The study incorporates disciplines such as Allele and Bioinformatics in addition to Genetic association. Her Quantitative trait locus research is multidisciplinary, incorporating perspectives in Differentially methylated regions, DNA methylation, Cell aging and Epigenetics. Her Imputation research includes themes of Medical genetics and Glucose homeostasis.
Her primary areas of study are Genetics, Genome-wide association study, Internal medicine, Endocrinology and Single-nucleotide polymorphism. Her Allele, DNA methylation, Expression quantitative trait loci, Gene and Candidate gene investigations are all subjects of Genetics research. Her research investigates the connection between Expression quantitative trait loci and topics such as Regulation of gene expression that intersect with issues in Gene expression.
She interconnects Gene expression profiling, Quantitative trait locus, Genetic architecture, Genetic association and Locus in the investigation of issues within Genome-wide association study. Her work is dedicated to discovering how Genetic architecture, Glucose homeostasis are connected with Medical genetics and other disciplines. Her research integrates issues of Imputation and Molecular genetics in her study of Genetic association.
Elin Grundberg mainly focuses on Internal medicine, Endocrinology, Genome-wide association study, Osteoporosis and Bone mineral. Her study in the field of Glucose homeostasis, Obesity and Stromal vascular fraction also crosses realms of Farnesoid X receptor and Abdominal obesity. Her Endocrinology research incorporates elements of Microbiome, Cholesterol 7 alpha-hydroxylase, Gut flora and Carbohydrate-responsive element-binding protein.
Her studies in Genome-wide association study integrate themes in fields like Methylation, Gene expression profiling, DNA microarray, Computational biology and Epigenome. Her Computational biology research integrates issues from Genome, Epigenomics, Disease, Genetic association and DNA sequencing. Her Osteoporosis study combines topics from a wide range of disciplines, such as Odds ratio, Phenotype and Single-nucleotide polymorphism.
Her primary areas of investigation include Single-nucleotide polymorphism, Osteoporosis, Internal medicine, Genome-wide association study and Bone mineral. The Single-nucleotide polymorphism study combines topics in areas such as Longitudinal study, Framingham Risk Score, Hip fracture, Orthopedic surgery and Meta-analysis. The various areas that Elin Grundberg examines in her Bone mineral study include Odds ratio, Mendelian randomization and Mendelian Randomization Analysis.
The Bone density and Femoral neck research Elin Grundberg does as part of her general Endocrinology study is frequently linked to other disciplines of science, such as Bone fracture, therefore creating a link between diverse domains of science.
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.
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Large-scale association analysis identifies new risk loci for coronary artery disease
Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall.
Nature Genetics (2013)
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)
Human metabolic individuality in biomedical and pharmaceutical research
Karsten Suhre;So-Youn Shin;Ann-Kristin Petersen;Robert P. Mohney.
An atlas of genetic influences on human blood metabolites
So-Youn Shin;Eric B Fauman;Ann-Kristin Petersen;Jan Krumsiek.
Nature Genetics (2014)
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.
Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below.
Nature Genetics (2014)
Mapping cis - and trans -regulatory effects across multiple tissues in twins
E Grundberg;K S Small;K S Small;Å K Hedman;A C Nica.
Nature Genetics (2012)
Twenty bone mineral-density loci identified by large-scale meta-analysis of genome-wide association studies
Fernando Rivadeneira;Unnur Styrkarsdottir;Karol Estrada;Bjarni V. Halldorsson.
Nature Genetics (2009)
Epigenome-Wide Scans Identify Differentially Methylated Regions for Age and Age-Related Phenotypes in a Healthy Ageing Population
Jordana T. Bell;Pei-Chien Tsai;Tsun-Po Yang;Ruth Pidsley.
PLOS Genetics (2012)
Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci
Jaspal S Kooner;Danish Saleheen;Xueling Sim;Joban Sehmi;Joban Sehmi.
Nature Genetics (2011)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: