Dajiang J. Liu
Genetics · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 52 citations into it
Whom Dajiang J. Liu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Joseph K. Pickrell (in Genetics)
Papers from Dajiang J. Liu's perspective
Ordered by how strongly the researchers Dajiang J. Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data. (American Journal of Human Genetics)
- Joint analysis of functional genomic data and genome-wide association studies of 18 human traits (bioRxiv)
- Rare-variant association testing for sequencing data with the sequence kernel association test. (American Journal of Human Genetics)
- A global reference for human genetic variation
- The UK10K project identifies rare variants in health and disease (Nature)
- Five years of GWAS discovery. (American Journal of Human Genetics)
- Principal components analysis corrects for stratification in genome-wide association studies
- A Groupwise Association Test for Rare Mutations Using a Weighted Sum Statistic (PLoS Genetics)
- Calibrating a coalescent simulation of human genome sequence variation. (Genome Research)
- Common vs. Rare Allele Hypotheses for Complex Diseases (Current Opinion in Genetics and Development)
Their papers
- Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (2019) — 1,654 citations
- Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes (2017) — 401 citations
- RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data (2016) — 401 citations