What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Gene
- Genetics
Genetics, Internal medicine, Genome-wide association study, Endocrinology and Framingham Heart Study are her primary areas of study.
Her Internal medicine research includes themes of Diabetes mellitus and Cardiology.
The various areas that L. Adrienne Cupples examines in her Genome-wide association study study include Medical genetics, Meta-analysis, FTO gene, Allele and Genetic association.
Her Endocrinology research is multidisciplinary, relying on both Framingham Risk Score and Risk factor.
Her study on Framingham Heart Study also encompasses disciplines like
- Cohort study which is related to area like Cohort,
- Surgery and related Osteoporosis.
Her Single-nucleotide polymorphism research incorporates elements of Genotyping and Genetic epidemiology.
Her most cited work include:
- Effects of Age, Sex, and Ethnicity on the Association Between Apolipoprotein E Genotype and Alzheimer Disease: A Meta-analysis (3224 citations)
- Biological, clinical and population relevance of 95 loci for blood lipids (2887 citations)
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2399 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Internal medicine, Genetics, Genome-wide association study, Framingham Heart Study and Endocrinology.
The Internal medicine study combines topics in areas such as Diabetes mellitus and Cardiology.
Single-nucleotide polymorphism, Locus, Allele, Quantitative trait locus and Gene are among the areas of Genetics where L. Adrienne Cupples concentrates her study.
Her Single-nucleotide polymorphism research includes elements of Genotyping, Haplotype and Candidate gene.
Computational biology is closely connected to Genetic association in her research, which is encompassed under the umbrella topic of Genome-wide association study.
As part of one scientific family, L. Adrienne Cupples deals mainly with the area of Framingham Heart Study, narrowing it down to issues related to the Cohort study, and often Demography.
She most often published in these fields:
- Internal medicine (44.28%)
- Genetics (49.47%)
- Genome-wide association study (43.88%)
What were the highlights of her more recent work (between 2016-2021)?
- Genome-wide association study (43.88%)
- Genetics (49.47%)
- Internal medicine (44.28%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Genome-wide association study, Genetics, Internal medicine, Computational biology and Gene.
Her study with Genome-wide association study involves better knowledge in Single-nucleotide polymorphism.
Her research in Minor allele frequency, Locus, Allele, Quantitative trait locus and Medical genetics are components of Genetics.
The study incorporates disciplines such as Endocrinology, Type 2 diabetes and Oncology in addition to Internal medicine.
Her work deals with themes such as Genome and Whole genome sequencing, which intersect with Computational biology.
The concepts of her Gene study are interwoven with issues in Framingham Heart Study and Blood pressure.
Between 2016 and 2021, her most popular works were:
- Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (865 citations)
- Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (865 citations)
- Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease (496 citations)
In her most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
L. Adrienne Cupples mainly investigates Genome-wide association study, Genetics, Genetic association, Medical genetics and Genetic architecture.
Her Genome-wide association study research is under the purview of Single-nucleotide polymorphism.
Her biological study deals with issues like Body mass index, which deal with fields such as FTO gene and Meta-analysis.
Her Genetic association study combines topics in areas such as Genome, Mixed model and DNA sequencing.
Her Genetic architecture study incorporates themes from Disease and Genomics.
Her research integrates issues of Internal medicine and Bioinformatics in her study of Diabetes mellitus.
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.
