Mary E. Haas
Genetics · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 61 citations into it
Whom Mary E. Haas trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank Dudbridge (in Genetics)
Papers from Mary E. Haas's perspective
Ordered by how strongly the researchers Mary E. Haas trusts endorse each paper. Same corpus, a different order for every researcher.
- Power and Predictive Accuracy of Polygenic Risk Scores (PLoS Genetics)
- Five years of GWAS discovery. (American Journal of Human Genetics)
- The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. (Genome Research)
- The personal and clinical utility of polygenic risk scores
- Sequence variations in PCSK9, low LDL, and protection against coronary heart disease.
- Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index (Nature Genetics)
- Developing and evaluating polygenic risk prediction models for stratified disease prevention (Nature reviews genetics)
- Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. (Journal of Molecular Biology)
- Second-generation PLINK: rising to the challenge of larger and richer datasets (GigaScience)
- Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations
Their papers
- Genome-wide polygenic score to identify a monogenic risk-equivalent for coronary disease (2017) — 34 citations
- MitoCarta3.0: an updated mitochondrial proteome now with sub-organelle localization and pathway annotations (2020) — 1,498 citations
- Polygenic prediction of weight and obesity trajectories from birth to adulthood (2019) — 657 citations
- Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations (2018) — 2,683 citations
- Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease (2018) — 80 citations