Liming Liang
Primary Faculty

Liming Liang

Professor of Statistical Genetics

Epidemiology

lliang@hsph.harvard.edu

Other Positions

Faculty Affiliate in the Department of Biostatistics

Biostatistics

Harvard T.H. Chan School of Public Health


Overview

My group focuses on developing the computational and statistical tools for analyses of multi-omics data to understand the biological mechanism for diseases and provide prediction model to assess future risk and individual benefit for intervention. We are currently looking for dedicated students (MS or PHD) for the following projects:

(1) Polygenic risk prediction model for complex diseases and traits applicable to multiple populations. The method will be evaluated and applied to biobank scale genome-wide association studies from European, African and Asian populations.

(2) Estimation of shared genetic components between complex diseases and traits by incorporating data of common and rare variants from multiple populations.

(3) Metabolomic network analysis for diseases and dietary exposure using targeted and untargeted metabolites from mass-spectrometry based metabolomics data.

(4) DNA methylation signature for aging and risk for childhood diseases (obesity and asthma) and its interaction with intervention and environmental exposures.

(5) Mapping of genetic variants for gene expression, methylation, metabolomics and other secondary traits (QTL mapping). Causal inference based on robust Mendelian randomization framework under different genetic architectures.

We actively apply these methods to large scale studies and unique longitudinal cohorts focus on Asthma, Allergy, Lung Cancer, COPD, Age-Related Macular Degeneration (AMD), Diabetes, Heart Diseases and other cardiometabolic traits with study subjects from European, African, Hispanic and Asian populations.


Bibliography

Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma.

Chambers JC, Zhang W, Sehmi J, Li X, Wass MN, Van der Harst P, Holm H, Sanna S, Kavousi M, Baumeister SE, Coin LJ, Deng G, Gieger C, Heard-Costa NL, Hottenga JJ, Kühnel B, Kumar V, Lagou V, Liang L, Luan J, Vidal PM, Mateo Leach I, O'Reilly PF, Peden JF, Rahmioglu N, Soininen P, Speliotes EK, Yuan X, Thorleifsson G, Alizadeh BZ, Atwood LD, Borecki IB, Brown MJ, Charoen P, Cucca F, Das D, de Geus EJ, Dixon AL, Döring A, Ehret G, Eyjolfsson GI, Farrall M, Forouhi NG, Friedrich N, Goessling W, Gudbjartsson DF, Harris TB, Hartikainen AL, Heath S, Hirschfield GM, Hofman A, Homuth G, Hyppönen E, Janssen HL, Johnson T, Kangas AJ, Kema IP, Kühn JP, Lai S, Lathrop M, Lerch MM, Li Y, Liang TJ, Lin JP, Loos RJ, Martin NG, Moffatt MF, Montgomery GW, Munroe PB, Musunuru K, Nakamura Y, O'Donnell CJ, Olafsson I, Penninx BW, Pouta A, Prins BP, Prokopenko I, Puls R, Ruokonen A, Savolainen MJ, Schlessinger D, Schouten JN, Seedorf U, Sen-Chowdhry S, Siminovitch KA, Smit JH, Spector TD, Tan W, Teslovich TM, Tukiainen T, Uitterlinden AG, Van der Klauw MM, Vasan RS, Wallace C, Wallaschofski H, Wichmann HE, Willemsen G, Würtz P, Xu C, Yerges-Armstrong LM, Abecasis GR, Ahmadi KR, Boomsma DI, Caulfield M, Cookson WO, van Duijn CM, Froguel P, Matsuda K, McCarthy MI, Meisinger C, Mooser V, Pietiläinen KH, Schumann G, Snieder H, Sternberg MJ, Stolk RP, Thomas HC, Thorsteinsdottir U, Uda M, Waeber G, Wareham NJ, Waterworth DM, Watkins H, Whitfield JB, Witteman JC, Wolffenbuttel BH, Fox CS, Ala-Korpela M, Stefansson K, Vollenweider P, Völzke H, Schadt EE, Scott J, Järvelin MR, Elliott P, Kooner JS.

Nat Genet. 2011 Oct 16. 43(11):1131-8. PMID: 22001757


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