What is she best known for?
The fields of study she is best known for:
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Heritability, Genetic association and Bioinformatics.
Hilary K. Finucane has researched Genome-wide association study in several fields, including Major depressive disorder, Bipolar disorder, Sample size determination and Genetic correlation.
Her work on Linkage disequilibrium and Single-nucleotide polymorphism as part of general Genetics research is often related to Risk assessment and Maximal information coefficient, thus linking different fields of science.
Hilary K. Finucane works mostly in the field of Heritability, limiting it down to concerns involving SNP and, occasionally, Medical research, Epidemiology of cancer and Data science.
The various areas that Hilary K. Finucane examines in her Genetic association study include Genetic predisposition, Medical genetics, Locus, Breast cancer and Genetic variation.
The study incorporates disciplines such as Statistics, Reference values, Haplotype and Genetic architecture in addition to Bioinformatics.
Her most cited work include:
- LD score regression distinguishes confounding from polygenicity in genome-wide association studies : (2037 citations)
- An atlas of genetic correlations across human diseases and traits (1758 citations)
- Detecting Novel Associations in Large Data Sets (1437 citations)
What are the main themes of her work throughout her whole career to date?
Hilary K. Finucane focuses on Genome-wide association study, Heritability, Genetics, Computational biology and Genetic association.
Her research in Genome-wide association study intersects with topics in Quantitative trait locus, Breast cancer, Genetic correlation and Genomics.
She interconnects SNP, Single-nucleotide polymorphism, Linkage disequilibrium and Regression in the investigation of issues within Heritability.
Her study on Genotype, Expression quantitative trait loci and Locus is often connected to Mendelian randomization as part of broader study in Genetics.
The concepts of her Computational biology study are interwoven with issues in Chromatin and Genome.
Her Genetic association study integrates concerns from other disciplines, such as Regression analysis, Genetic variation and Major histocompatibility complex.
She most often published in these fields:
- Genome-wide association study (68.18%)
- Heritability (48.05%)
- Genetics (48.70%)
What were the highlights of her more recent work (between 2019-2021)?
- Computational biology (37.01%)
- Genome-wide association study (68.18%)
- Genetic association (29.87%)
In recent papers she was focusing on the following fields of study:
Hilary K. Finucane mainly investigates Computational biology, Genome-wide association study, Genetic association, Gene and Genome.
Her Computational biology research includes themes of Biobank and Heritability.
In her articles, Hilary K. Finucane combines various disciplines, including Genome-wide association study and Human leukocyte antigen.
Her research in Genetic association focuses on subjects like Haplotype, which are connected to Locus, Genetic variation and Odds ratio.
Her study with Locus involves better knowledge in Genetics.
Her studies in Genome integrate themes in fields like Phenotype and CRISPR.
Between 2019 and 2021, her most popular works were:
- Prioritizing disease and trait causal variants at the TNFAIP3 locus using functional and genomic features (31 citations)
- Prioritizing disease and trait causal variants at the TNFAIP3 locus using functional and genomic features (31 citations)
- Functionally informed fine-mapping and polygenic localization of complex trait heritability (13 citations)
In her most recent research, the most cited papers focused on:
Hilary K. Finucane spends much of her time researching Computational biology, Single-nucleotide polymorphism, Trait, Genetic association and Heritability.
Her research integrates issues of Biological pathway, Novel gene, Gene expression, Gene and Gene prioritization in her study of Computational biology.
Her Genetic association research is multidisciplinary, incorporating perspectives in Genome-wide association study and Haplotype.
In her papers, she integrates diverse fields, such as Genome-wide association study and Human leukocyte antigen.
Haplotype is a subfield of Genetics that she investigates.
Her Heritability research incorporates themes from SNP, Biobank and Human genetics.
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