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Personal profile

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. 

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  • 4 Similar Profiles
Exome Medicine & Life Sciences
Genes Medicine & Life Sciences
Meta-Analysis Medicine & Life Sciences
Genome Medicine & Life Sciences
Lipids Medicine & Life Sciences
Genome-Wide Association Study Medicine & Life Sciences
Phenotype Medicine & Life Sciences
Genotype Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2015 2022

Research Output 2010 2019

  • 1432 Citations
  • 18 h-Index
  • 36 Article
  • 2 Letter
  • 1 Chapter
18 Citations (Scopus)

Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use

23andMe Research Team, HUNT All-In Psychiatry, Liu, M., Jiang, Y., Wedow, R., Li, Y., Brazel, D. M., Chen, F., Datta, G., Davila-Velderrain, J., McGuire, D., Tian, C., Zhan, X., Agee, M., Alipanahi, B., Auton, A., Bell, R. K., Bryc, K., Elson, S. L., Fontanillas, P. & 32 others, Furlotte, N. A., Hinds, D. A., Hromatka, B. S., Huber, K. E., Kleinman, A., Litterman, N. K., McIntyre, M. H., Mountain, J. L., Northover, C. A. M., Sathirapongsasuti, J. F., Sazonova, O. V., Shelton, J. F., Shringarpure, S., Tian, C., Tung, J. Y., Vacic, V., Wilson, C. H., Pitts, S. J., Mitchell, A., Skogholt, A. H., Winsvold, B. S., Sivertsen, B., Stordal, E., Morken, G., Kallestad, H., Heuch, I., Zwart, J. A., Fjukstad, K. K., Pedersen, L. M., Gabrielsen, M. E., Johnsen, M. B. & Liu, D., Feb 1 2019, In : Nature Genetics. 51, 2, p. 237-244 8 p.

Research output: Contribution to journalLetter

Tobacco Use
Alcohols
Tobacco Use Cessation
Genetic Association Studies
Synaptic Transmission
4 Citations (Scopus)

Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use

CHD Exome+ Consortium, Consortium for Genetics of Smoking Behaviour, Brazel, D. M., Jiang, Y., Hughey, J. M., Turcot, V., Zhan, X., Gong, J., Batini, C., Weissenkampen, J. D., Liu, M. Z., Surendran, P., Young, R., Barnes, D. R., Nielsen, S. F., Rasheed, A., Samuel, M., Zhao, W., Kontto, J., Perola, M. & 32 others, Caslake, M., de Craen, A. J. M., Trompet, S., Uria-Nickelsen, M., Malarstig, A., Reily, D. F., Hoek, M., Vogt, T., Jukema, J. W., Sattar, N., Ford, I., Packard, C. J., Alam, D. S., Majumder, A. A. S., Di Angelantonio, E., Chowdhury, R., Amouyel, P., Arveiler, D., Blankenberg, S., Ferrières, J., Kee, F., Kuulasmaa, K., Müller-Nurasyid, M., Veronesi, G., Virtamo, J., EPIC-CVD Consortium, C., Frossard, P., Nordestgaard, B. G., Saleheen, D., Danesh, J., Butterworth, A. S. & Liu, D., Jun 1 2019, In : Biological Psychiatry. 85, 11, p. 946-955 10 p.

Research output: Contribution to journalArticle

Exome
Meta-Analysis
Smoking
Alcohols
Phenotype
1 Citation (Scopus)

Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

Understanding Society Scientific Group, EPIC-CVD, GSCAN, Consortium for Genetics of Smoking Behaviour, CHD Exome+ consortium, Erzurumluoglu, A. M., Liu, M., Jackson, V. E., Barnes, D. R., Datta, G., Melbourne, C. A., Young, R., Batini, C., Surendran, P., Jiang, T., Adnan, S. D., Afaq, S., Agrawal, A., Altmaier, E., Antoniou, A. C., Asselbergs, F. W., Baumbach, C., Bierut, L., Bertelsen, S. & 31 others, Boehnke, M., Bots, M. L., Brazel, D. M., Chambers, J. C., Chang-Claude, J., Chen, C., Corley, J., Chou, Y. L., David, S. P., de Boer, R. A., de Leeuw, C. A., Dennis, J. G., Dominiczak, A. F., Dunning, A. M., Easton, D. F., Eaton, C., Elliott, P., Evangelou, E., Faul, J. D., Foroud, T., Goate, A., Gong, J., Grabe, H. J., Haessler, J., Haiman, C., Hallmans, G., Hammerschlag, A. R., Harris, S. E., Hattersley, A., Heath, A. & Liu, D., Jan 1 2019, (Accepted/In press) In : Molecular Psychiatry.

Research output: Contribution to journalArticle

Open Access
Genetic Loci
Meta-Analysis
Smoking
Nucleotides
Exome

Methods for the Analysis and Interpretation for Rare Variants Associated with Complex Traits

Weissenkampen, J. D., Jiang, Y., Eckert, S., Jiang, B., Li, B. & Liu, D., Apr 1 2019, In : Current protocols in human genetics. 101, 1, e83.

Research output: Contribution to journalArticle

Exome
Precision Medicine
DNA Sequence Analysis
Sequence Analysis
Meta-Analysis
1 Citation (Scopus)

Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution

T2D-Genes Consortium, The MAGIC Investigators, CHD Exome+ Consortium, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, InterAct & ReproGen Consortium, Mar 1 2019, In : Nature Genetics. 51, 3, p. 452-469 18 p.

Research output: Contribution to journalArticle

Body Fat Distribution
Homeostasis
Lipids
Fats
Genes