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Dajiang J. Liu

Researcher at Pennsylvania State University

Publications -  85
Citations -  5274

Dajiang J. Liu is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Genome-wide association study & Exome. The author has an hindex of 25, co-authored 73 publications receiving 4068 citations. Previous affiliations of Dajiang J. Liu include Penn State Milton S. Hershey Medical Center & University of Michigan.

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Exome-wide association study of plasma lipids in > 300,000 individuals

Dajiang J. Liu, +288 more
- 30 Oct 2017 - 
TL;DR: It is found that beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD), and only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and TG-lowering alleles involved in hepatic production of TG-rich lipoproteins tracked with higher liver fat, higher risk for T2D, and lower risk for CAD.
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Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program.

Derek Klarin, +67 more
- 01 Oct 2018 - 
TL;DR: Analysis of genetic data and blood lipid measurements from over 300,000 participants in the Million Veteran Program identifies new associations for blood lipid traits and proposes novel indications for pharmaceutical inhibitors targeting PCSK9, ANGPTL4 (type 2 diabetes) and PDE3B (triglycerides and coronary disease).
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Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease

Paolo Zanoni, +48 more
- 11 Mar 2016 - 
TL;DR: In this paper, the authors identified a homozygote for a loss-of-function variant, in which leucine replaces proline 376 (P376L), in SCARB1, the gene encoding SR-BI.

Rare and low-frequency coding variants alter human adult height

Eirini Marouli, +370 more
TL;DR: The results demonstrate that sufficiently large sample sizes can uncover rare and low-frequency variants of moderate-to-large effect associated with polygenic human phenotypes, and that these variants implicate relevant genes and pathways.
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RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data.

TL;DR: RVTESTS is developed, which implements a broad set of rare variant association statistics and supports the analysis of autosomal and X-linked variants for both unrelated and related individuals and provides useful companion features for annotating sequence variants, integrating bioinformatics databases, performing data quality control and sample selection.