Projects per year
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Research interests
Dr. Dajiang Liu's lab is a small research group at Penn State College of Medicine that works on statistical genetics, complex trait genetics and functional genomics. The lab actively develops novel methods and applies them to interesting datasets. It also generates datasets using high-throughput genotyping and sequencing.
The lab's statistical genetics research focuses on method development for analyzing large scale sequence-based association studies. The Liu lab developed the widely-used software package RAREMETAL and RVTESTS for association analysis and meta-analysis and is actively conducting research in this area to develop more efficient and powerful methods for studying the genetic basis for complex traits.
Dr. Liu's lab develops computational methods to interpret the GWAS findings using integrative approaches and is also developing methods to study the functional genomics for X chromosome inactivation.
The lab studies a few complex traits in great detail, including lipids and cardiovascular disease, smoking drinking addiction as well as lupus. Many of the applied projects offered interesting problems and motivated the lab's methodology research.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Integrative approaches to understand systemic lupus erythematosus etiology in trans-ancestry genetic studies
Liu, D. (PI) & Carrel, L. (CoPI)
National Institute of Allergy and Infectious Diseases
9/20/22 → 7/31/24
Project: Research project
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Integrative genomic and geospatial analysis of insurance claim, biobank and GWAS summary statistics for complex traits
Liu, D. (PI)
National Institute of Environmental Health Sciences
6/20/23 → 3/31/24
Project: Research project
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Integrative genomic and geospatial analysis of insurance claim, biobank and GWAS summary statistics for complex traits
Liu, D. (PI)
National Human Genome Research Institute
9/21/22 → 8/31/23
Project: Research project
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Methods to unveil sex-specific genetic architecture in trans-ancestry meta-analysis
Liu, D. (PI) & Jiang, B. (CoPI)
National Human Genome Research Institute
8/10/22 → 5/31/24
Project: Research project
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Variants underlying sex bias in Systemic Lupus Erythematosus
Carrel, L. (PI) & Liu, D. (CoPI)
National Institute of Allergy and Infectious Diseases
11/1/21 → 10/31/23
Project: Research project
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Dissecting heritability, environmental risk, and air pollution causal effects using > 50 million individuals in MarketScan
McGuire, D., Markus, H., Yang, L., Xu, J., Montgomery, A., Berg, A., Li, Q., Carrel, L., Liu, D. J. & Jiang, B., Dec 2024, In: Nature communications. 15, 1, 5357.Research output: Contribution to journal › Article › peer-review
Open Access -
Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets
Xu, X., Khunsriraksakul, C., Eales, J. M., Rubin, S., Scannali, D., Saluja, S., Talavera, D., Markus, H., Wang, L., Drzal, M., Maan, A., Lay, A. C., Prestes, P. R., Regan, J., Diwadkar, A. R., Denniff, M., Rempega, G., Ryszawy, J., Król, R. & Dormer, J. P. & 18 others, , Dec 2024, In: Nature communications. 15, 1, 2359.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes
Wang, L., Khunsriraksakul, C., Markus, H., Chen, D., Zhang, F., Chen, F., Zhan, X., Carrel, L., Liu, D. & Jiang, B., Dec 2024, In: Nature communications. 15, 1, 4260.Research output: Contribution to journal › Article › peer-review
Open Access -
Association of surfactant protein A2 with acute respiratory failure in children
Emery, L., Kane, E., Anderson-Fears, K., Liu, D., Floros, J. & Gandhi, C. K., Jan 1 2023, In: Pediatrics International. 65, 1, e15672.Research output: Contribution to journal › Article › peer-review
Open Access -
Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus
Khunsriraksakul, C., Li, Q., Markus, H., Patrick, M. T., Sauteraud, R., McGuire, D., Wang, X., Wang, C., Wang, L., Chen, S., Shenoy, G., Li, B., Zhong, X., Olsen, N. J., Carrel, L., Tsoi, L. C., Jiang, B. & Liu, D. J., Dec 2023, In: Nature communications. 14, 1, 668.Research output: Contribution to journal › Article › peer-review
Open Access14 Scopus citations