Liming Liang

Liming Liang

Assistant Professor of Statistical Genetics

Department of Epidemiology
Department of Biostatistics

Building 2, Room 211A
655 Huntington Avenue
Boston, Massachusetts 02115
Phone: 617.432.5896

My research

Our group focuses on developing the computational and statistical tools required for understanding human genetic variation, with a particular focus on complex human disease. We are currently working on the following areas:

(1) Genetics of gene expression and methylation data, particular eQTL/meQTL mapping using both microarray and sequencing data from multiple tissues. Current studies include >2000 expression/methylation samples from multiple tissues and platforms, and samples from the NIH GTEx program.

(2) Biological network estimation using high throughput omic experiment (gene expression/methylation/metabolite) and its association with disease and trait of interest. We are particular interested in developing useful statistical model to maximize the utility of multiple related phenotypes and elucidate how genetic and epigenetic variants and their interaction with environmental factors involve in pathogenesis of complex diseases and traits. Current studies focus on Asthma, Lung Cancer, Diabetes and CVD with study subjects from both European and Asian populations.

(3) Statistical model to integrate functional data (eQTL/meQTL/metabolite QTL) with genome-wide association studies to improve power for disease variant discovery and risk prediction.

(4) New statistical approaches for the analysis of rare variants from next-generation sequencing data and exome SNP array. Ongoing projects include high depth sequencing on ~4000 breast cancer case-control subjects from multiple populations, ~6000 T2D case-control samples and >8000 CHD case-control samples with exome SNP data. The goals include fine mapping causal loci responsible for the disease and developing optimal design for next-generation sequencing studies.

We are currently part of several large genetic studies, including the 1000 Genomes Project (, genome-wide association studies for type-2 diabetes and related phenotypes and biomarkers, childhood asthma, atopic dermatitis, colorectal cancer,  melanoma, global gene expression and methylation.

I am still maintaining my research website at CSG at the University of Michigan.


PhD, Biostatistics with Dr. Gonçalo Abecasis at the University of Michigan, Ann Arbor, 2009