Sarah A. Pendergrass
Statistics and Probability · 2013–2021
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 6 citations into it
Whom Sarah A. Pendergrass trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sarah A. Pendergrass's perspective
Ordered by how strongly the researchers Sarah A. Pendergrass trusts endorse each paper. Same corpus, a different order for every researcher.
- Inference of population structure using multilocus genotype data. (Genetics)
- Principal components analysis corrects for stratification in genome-wide association studies
- Potential etiologic and functional implications of genome-wide association loci for human diseases and traits (Proceedings of the National Academy of Sciences of the United States of America)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Next-generation genotype imputation service and methods (Nature Genetics)
- Clinical use of current polygenic risk scores may exacerbate health disparities
- Fast and accurate long-range phasing in a UK Biobank cohort
- The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019 (Nucleic Acids Res.)
- The case for cloud computing in genome informatics
- The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. (Genome Research)
Their papers
- Methods of integrating data to uncover genotype–phenotype interactions (2015) — 983 citations
- Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data (2013) — 986 citations
- The power of genetic diversity in genome-wide association studies of lipids (2021) — 765 citations
- A catalog of genetic loci associated with kidney function from analyses of a million individuals (2019) — 744 citations