Biography
My work relates to methods and applications in epidemiology/public health with a recent focus on proteogenomics. Following earlier efforts on familial aggregation, segregation analysis, candidate genes and genomewide association studies (GWASs, my current work is capitalised on the meta-analysis at the Cardiovascular Epidemiology Unit and within the SCALLOP consortium using the Olink inflammation as well as mass spectrometry panels measured for the INTERVAL samples. I have also led analysis contributed to collaborative projects such as the Host Genetics Initiative, the SCALLOP-Seq(uence) consortium and other ongoing projects. I have actively promoted reproducible research through distribution of software on CRAN (https://cran.r-project.org) and GitHub (https://github.com) and through web-based materials from my personal page, https://jinghuazhao.github.io/ and CEU page, https://cambridge-ceu.github.io/.
Research
I am interested in statistical and computational methods in multi-omics data analysis applied to epidemiology and population health.
Publications
Zhao JH, et al. Mapping pQTLs of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and novel therapeutic targets. Nat Immunol 2023, 24(9):1540-1551, 10.1038/s41590-023-01588-w, https://www.nature.com/articles/s41590-023-01588-w. COVID-19 Host Genetics Initiative. Mapping the human genetic architecture of COVID-19. Nature 600:472–477 (2021);
Pathak, G.A. et al. A first update on mapping the human genetic architecture of COVID-19. Nature 608:E1-E10 (2022); The Host Genetics Initiative. A second update on mapping the human genetic architecture of COVID-19. Nature 621:E7–E26 (2023). Zhao JH, Luan JA, Congdon P. Bayesian linear mixed model of polygenic effects. J Stat Soft. 2018, 85(6):1-27. doi: 10.18637/jss.v085.i06
Zhao JH, Luan JA. Mixed modeling with whole genome data. J Prob Stat. 2012. doi: 10.1155/2012.485174. Xue F, Li S, Luan J, Yuan Z, Luben RN, Khaw K-T, Wareham NJ, Loos RJF, Zhao JH. A latent variable partial least squares path modeling approach to regional association and polygenic effect with applications to a human obesity study. PLoS ONE 2012, 7(2): e31927
Loos RJ, et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet 2008; 40(6):768-75 Zhao JH. gap: genetic analysis package. J Stat Soft 2007, 23 (8):1-18. doi: 10.18637/jss.v023.i08.
Zhao JH, Brunner EJ, Kumari M, Singh-Manoux A, Hawe E, Talmud PJ, Marmot MG, Humphries SE. APOE polymorphism, socioeconomic status and cognitive function in later mid-life: The Whitehall II longitudinal study. Soc Psychiatr and Psychiatr Epidemiol 2005, 40:557-563
Zhao JH, D Curtis, PC Sham. Model-free and permutation tests for allelic associations. Hum Hered 2000, 50(2), 133-139.
Other Professional Activities
I am a member of the Royal Statistical Society and associate editor of Frontiers in Genetics.
