Jian Yang
Genetics · Nature Genetics · 2010–2021
A researcher in the Science corpus: 42 papers; trusts 20 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 875 citations into it; #355 of 6,854 by trust here, #54 by citations
- Molecular Biology — 501 citations into it; #15,319 of 17,773 by trust here, #2,498 by citations
- Computational Biology & Bioinformatics — 85 citations into it
- Plant Science — 51 citations into it
- Artificial Intelligence — 15 citations into it
Whom Jian Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael E. Goddard
- Shaun Purcell
- Alkes L Price
- Peter M. Visscher
- Naomi R. Wray
- Teri Manolio
- Ben J. Hayes
- B. Maher
- Nick Patterson
- Benjamin M. Neale
Who trusts Jian Yang overall
- Naomi R. Wray
- Longda Jiang
- Sang Hong Lee
- Peter M. Visscher
- Zhili Zheng
- Po-Ru Loh
- Bogdan Pasaniuc
- Alkes L Price
- Xiaoping Zhou
- L. Pembleton
Papers from Jian Yang's perspective
Ordered by how strongly the researchers Jian Yang 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
- Regression Shrinkage and Selection via the Lasso
- Accuracy of Predicting the Genetic Risk of Disease Using a Genome-Wide Approach (PLoS ONE)
- The support of human genetic evidence for approved drug indications (Nature Genetics)
- Association between microdeletion and microduplication at 16p11.2 and autism. (New England Journal of Medicine)
- The Elements of Statistical Learning
- Pitfalls of predicting complex traits from SNPs
- Genomic selection: prediction of accuracy and maximisation of long term response (Genetica)
- Increased accuracy of artificial selection by using the realized relationship matrix. (Genetics Research)
Their papers
- Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets (2016) — 2,949 citations
- 10 Years of GWAS Discovery: Biology, Function, and Translation. (2017) — 3,277 citations
- Biological interpretation of genome-wide association studies using predicted gene functions (2015) — 821 citations
- The transcriptional landscape of age in human peripheral blood (2015) — 654 citations
- The UK10K project identifies rare variants in health and disease (2015) — 1,063 citations
- Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores (2015) — 1,263 citations
- Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis (2018) — 511 citations
- Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression (2021) — 1,862 citations
- The power of genetic diversity in genome-wide association studies of lipids (2021) — 765 citations
- A generalized linear mixed model association tool for biobank-scale data (2021) — 578 citations
- Mapping the human genetic architecture of COVID-19 (2021) — 807 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
- Identification of novel risk loci, causal insights, and heritable risk for Parkinson’s disease: a meta-genome wide association study (2019) — 1,651 citations
- Identification of common genetic risk variants for autism spectrum disorder (2019) — 2,059 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 body fat distribution in 694 649 individuals of European ancestry (2018) — 1,022 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