Kathryn E. Kemper
Genetics · 2018–2019
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 174 citations into it
- Molecular Biology — 99 citations into it
- Artificial Intelligence — 7 citations into it
Whom Kathryn E. Kemper trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Kathryn E. Kemper's perspective
Ordered by how strongly the researchers Kathryn E. Kemper trusts endorse each paper. Same corpus, a different order for every researcher.
- Common SNPs explain a large proportion of heritability for human height (Nature Genetics)
- Principal components analysis corrects for stratification in genome-wide association studies
- Accuracy of Predicting the Genetic Risk of Disease Using a Genome-Wide Approach (PLoS ONE)
- Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia.
- Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data. (Genetics)
- Improved linear mixed models for genome-wide association studies (Nature Methods)
- An atlas of genetic associations in UK Biobank (Nature Genetics)
- Mixed linear model approach adapted for genome-wide association studies (Nature Genetics)
- Efficient Control of Population Structure in Model Organism Association Mapping (Genetics)
- Estimating missing heritability for disease from genome-wide association studies. (American Journal of Human Genetics)
Their papers
- Improved polygenic prediction by Bayesian multiple regression on summary statistics (2019) — 484 citations
- A resource-efficient tool for mixed model association analysis of large-scale data (2019) — 483 citations
- Meta-analysis of genome-wide association studies for height and body mass index in ∼700,000 individuals of European ancestry (2018) — 1,929 citations
- Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes (2018) — 707 citations
- Gene discovery and polygenic prediction from a 1.1-million-person GWAS of educational attainment (2018) — 2,165 citations