What is she best known for?
The fields of study she is best known for:
- Gene
- Genetics
- Internal medicine
Cecilia M. Lindgren mostly deals with Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Genetic architecture.
The concepts of her Genome-wide association study study are interwoven with issues in Body mass index, Bioinformatics, Allele frequency, Medical genetics and Type 2 diabetes.
Her research ties Glucose homeostasis and Genetics together.
Her Single-nucleotide polymorphism research includes elements of Copy-number variation and Heritability.
Cecilia M. Lindgren has included themes like Immunology, Blood pressure and Genetic predisposition in her Genetic association study.
Her Genetic architecture study incorporates themes from Imputation, Linkage disequilibrium, Haplotype, 1000 Genomes Project and Minor allele frequency.
Her most cited work include:
- Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls (8085 citations)
- PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes (5989 citations)
- PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes (5989 citations)
What are the main themes of her work throughout her whole career to date?
Cecilia M. Lindgren mainly focuses on Genetics, Genome-wide association study, Internal medicine, Genetic association and Type 2 diabetes.
Her work is connected to Single-nucleotide polymorphism, Locus, Quantitative trait locus, Gene and Allele, as a part of Genetics.
Her Genome-wide association study study combines topics from a wide range of disciplines, such as Body mass index, Mendelian randomization, Bioinformatics, Medical genetics and Genetic architecture.
Her Internal medicine research integrates issues from Endocrinology and Oncology.
Her biological study spans a wide range of topics, including Imputation, Minor allele frequency, Disease and Genetic variation.
Her studies deal with areas such as Insulin and Insulin resistance as well as Type 2 diabetes.
She most often published in these fields:
- Genetics (78.64%)
- Genome-wide association study (71.64%)
- Internal medicine (33.70%)
What were the highlights of her more recent work (between 2017-2021)?
- Genome-wide association study (71.64%)
- Genetics (78.64%)
- Internal medicine (33.70%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Genome-wide association study, Genetics, Internal medicine, Genetic association and Disease.
The subject of her Genome-wide association study research is within the realm of Gene.
Her Genetics study combines topics in areas such as Adiponectin and Body fat distribution.
Her Internal medicine research includes themes of Diabetes mellitus, Endocrinology and Type 2 diabetes.
She interconnects Pregnancy, Case-control study, Blood pressure and Minor allele frequency, Allele frequency in the investigation of issues within Genetic association.
Her Disease research is multidisciplinary, relying on both Mendelian randomization and Atrial fibrillation.
Between 2017 and 2021, her most popular works were:
- Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. (619 citations)
- Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. (619 citations)
- Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. (348 citations)
In her most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
Cecilia M. Lindgren focuses on Genome-wide association study, Genetic association, Bioinformatics, Genetic architecture and Genetics.
Her research in Genome-wide association study intersects with topics in Mendelian randomization, Linkage disequilibrium, Medical genetics, Computational biology and Genetic testing.
Her biological study spans a wide range of topics, including Quantitative trait locus, Case-control study, Blood pressure and Heritability.
She usually deals with Bioinformatics and limits it to topics linked to Disease and Mendelian Randomization Analysis.
Her Genetic architecture study integrates concerns from other disciplines, such as Bioelectrical impedance analysis, Lean body mass, FTO gene, Single-nucleotide polymorphism and Locus.
Her Genetics research integrates issues from Coding and Inference.
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