We are a research group with expertise in statistical genetics and functional genomics. We work on the following research areas:

Statistical Genetics:

  • Association analysis for Biobank scale datasets;
  • Meta-analysis for sequence-based association;
  • eQTL analysis
  • Computational tools development

Complex Trait Genetics: 

  • Smoking and drinking addiction
  • Lipids and cardiovascular diseases
  • Gender bias disease (e.g. lupus)
  • Biomarker discovery
  • Drug target assessment

Functional Genomics:

  • Integrative methods to prioritize causal variants, target genes and tissues;
  • Functional biology of X chromosome inactivation

Citation information for my papers can be found in my google scholar profile.

Four representative publications 
1. Liu DJ, Peloso GM, Yu H, Butterworth AS, Wang X, Mahajan A, Saleheen D, Emdin C, …..,Howson JMM, Danesh J, McCarthy MI, Cowan CA, Abecasis G, Deloukas P, Musunuru K, Willer CJ, Kathiresan S. Exome-wide association study of plasma lipids in >300,000 individualsNature Genetics. 2017;advance online publication. doi: 10.1038/ng.3977
2. Zhan X, Hu Y, Li B, Abecasis GR & Liu DJ RVTESTS: An Efficient and Comprehensive Tool for Rare Variant Association Analysis Using Sequence DataBioinformatics, 2016, DOI 10.1093/bioinformatics/btw079
3. Liu DJ, Peloso GM, Zhan X, Holmen O, Zawistowski M, Feng S, Nikpay M, Auer PL, Goel A, Zhang H, Peters U, Farrall M, Orho-Melander M, Kooperberg C, McPherson R, Watkins H, Willer CJ, Hveem, K, Melander O, Kathiresan S, Abecasis GR (NatGenet2013) Meta-analysis of gene-level tests of rare variant associationNature Genetics,  46, 200–204 (2014)
4. Liu DJ, Brazel DM, Turcot V, Zhan X, Gong J, Barnes D, ……., Abecasis GR, Vrieze S, Exome chip meta-analysis elucidates the genetic architecture of rare coding variants in smoking and drinking behavior  (biorxiv)

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