Zhili Zheng
Genetics · 2017–2021
A researcher in the Science corpus: 9 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 255 citations into it
- Molecular Biology — 145 citations into it
- Artificial Intelligence — 7 citations into it
Whom Zhili Zheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jian Yang
- Po-Ru Loh
- Gad Abraham
- Peter M. Visscher
- Shaun Purcell
- Christopher C. Chang
- Michael E. Goddard
- Xiaoping Zhou
- Noah A. Zaitlen
- Alkes L Price
Who trusts Zhili Zheng overall
Papers from Zhili Zheng's perspective
Ordered by how strongly the researchers Zhili Zheng 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)
- A unified mixed-model method for association mapping that accounts for multiple levels of relatedness (Nature Genetics)
- Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia.
- An atlas of genetic associations in UK Biobank (Nature Genetics)
- Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data. (Genetics)
- Improved linear mixed models for genome-wide association studies (Nature Methods)
- The UK Biobank resource with deep phenotyping and genomic data
- Advantages and pitfalls in the application of mixed model association methods (Nature Genetics)
Their papers
- A generalized linear mixed model association tool for biobank-scale data (2021) — 578 citations
- Recovery of trait heritability from whole genome sequence data (2019) — 222 citations
- 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
- Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits (2018) — 613 citations
- Gene discovery and polygenic prediction from a 1.1-million-person GWAS of educational attainment (2018) — 2,165 citations
- Causal associations between risk factors and common diseases inferred from GWAS summary data (2017) — 942 citations