Longda Jiang
Genetics · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 87 citations into it
Whom Longda Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jian Yang
- Po-Ru Loh
- Shaun Purcell
- Christopher C. Chang
- Xiaoping Zhou
- Gad Abraham
- Peter M. Visscher
- Michael E. Goddard
- Noah A. Zaitlen
- Alkes L Price
Papers from Longda Jiang's perspective
Ordered by how strongly the researchers Longda Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Principal components analysis corrects for stratification in genome-wide association studies
- 10 Years of GWAS Discovery: Biology, Function, and Translation. (American Journal of Human Genetics)
- PLINK: a tool set for whole-genome association and population-based linkage analyses.
- Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia.
- A unified mixed-model method for association mapping that accounts for multiple levels of relatedness (Nature Genetics)
- GCTA: a tool for genome-wide complex trait analysis. (American Journal of Human Genetics)
- Common SNPs explain a large proportion of heritability for human height (Nature Genetics)
- Improved linear mixed models for genome-wide association studies (Nature Methods)
- An atlas of genetic associations in UK Biobank (Nature Genetics)
- The UK Biobank resource with deep phenotyping and genomic data
Their papers
- A generalized linear mixed model association tool for biobank-scale data (2021) — 578 citations
- A resource-efficient tool for mixed model association analysis of large-scale data (2019) — 483 citations
- An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans (2017) — 677 citations