What is she best known for?
The fields of study she is best known for:
- Gene
- Genetics
- Internal medicine
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 most cited work include:
- Hundreds of variants clustered in genomic loci and biological pathways affect human height (1614 citations)
- Hundreds of variants clustered in genomic loci and biological pathways affect human height (1614 citations)
- Large-scale association analysis identifies new risk loci for coronary artery disease (1172 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, 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.
She most often published in these fields:
- Genetics (68.46%)
- Genome-wide association study (63.85%)
- Internal medicine (39.23%)
What were the highlights of her more recent work (between 2017-2021)?
- Internal medicine (39.23%)
- Endocrinology (38.46%)
- Genome-wide association study (63.85%)
In recent papers she was focusing on the following fields of study:
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.
Between 2017 and 2021, her most popular works were:
- An atlas of genetic influences on osteoporosis in humans and mice (211 citations)
- An atlas of genetic influences on osteoporosis in humans and mice (211 citations)
- Single-cell analysis of human adipose tissue identifies depot and disease specific cell types. (42 citations)
In her most recent research, the most cited papers focused on:
- Gene
- Genetics
- Internal medicine
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.
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