What is she best known for?
The fields of study she is best known for:
- Gene
- Genetics
- Internal medicine
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Internal medicine.
Her study on Genetics is mostly dedicated to connecting different topics, such as Body mass index.
The concepts of her Genome-wide association study study are interwoven with issues in Allele, Polymorphism, Medical genetics, Heritability and Type 2 diabetes.
Her work in Genetic association covers topics such as Imputation which are related to areas like Genetic predisposition and Exome.
The Single-nucleotide polymorphism study which covers Case-control study that intersects with PEPD.
Her research in Internal medicine intersects with topics in Endocrinology and Cardiology.
Her most cited work include:
- Biological, clinical and population relevance of 95 loci for blood lipids (2804 citations)
- A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. (2429 citations)
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 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, Single-nucleotide polymorphism, Type 2 diabetes and Genetic association.
Karen L. Mohlke works mostly in the field of Genetics, limiting it down to topics relating to Body mass index and, in certain cases, FTO gene.
Her Genome-wide association study study integrates concerns from other disciplines, such as Quantitative trait locus, Haplotype, Expression quantitative trait loci and Locus.
Her work deals with themes such as Genotyping and Polymorphism, which intersect with Single-nucleotide polymorphism.
Her work investigates the relationship between Type 2 diabetes and topics such as Internal medicine that intersect with problems in Mendelian randomization.
Karen L. Mohlke combines subjects such as Meta-analysis and Bioinformatics with her study of Genetic association.
She most often published in these fields:
- Genetics (59.20%)
- Genome-wide association study (45.82%)
- Single-nucleotide polymorphism (22.07%)
What were the highlights of her more recent work (between 2018-2021)?
- Genetics (59.20%)
- Genome-wide association study (45.82%)
- Gene (16.39%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Genetics, Genome-wide association study, Gene, Genetic association and Allele.
She interconnects Adiponectin and Blood lipids in the investigation of issues within Genetics.
She has researched Genome-wide association study in several fields, including Quantitative trait locus, Expression quantitative trait loci, Cholesterol, Locus and Adipose tissue.
Her Gene research includes themes of Alcohol and Body mass index.
Her work is dedicated to discovering how Genetic association, Meta-analysis are connected with Published Erratum, Human genomics and Genetic etiology and other disciplines.
The study incorporates disciplines such as Missense mutation and Leptin in addition to Allele.
Between 2018 and 2021, her most popular works were:
- Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (385 citations)
- Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels (66 citations)
- A catalog of genetic loci associated with kidney function from analyses of a million individuals (52 citations)
In her most recent research, the most cited papers focused on:
- Gene
- Genetics
- Internal medicine
Genetics, Genome-wide association study, Genetic architecture, Expression quantitative trait loci and Genetic association are her primary areas of study.
The various areas that Karen L. Mohlke examines in her Genetics study include Blood lipids, Cholesterol and Lipid metabolism.
Her Genome-wide association study research is multidisciplinary, relying on both Gene expression, Gout, Kidney metabolism, Quantitative trait locus and Locus.
Her Genetic architecture research incorporates themes from Blood cell and Biobank.
The study incorporates disciplines such as Islet, Pancreatic islets, TCF7L2 and Transcriptional regulation in addition to Expression quantitative trait loci.
Her study looks at the relationship between Genetic association and fields such as Meta-analysis, as well as how they intersect with chemical problems.
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