Guanghao Qi

Guanghao Qi

Assistant Professor, University of Washington

Publications

  1. Qi G, Chhetri SB, Ray D, Dutta D, Battle A, Bhattacharjee S, Chatterjee N. Genome-wide large-scale multi-trait analysis characterizes global patterns of pleiotropy and unique trait-specific variants. Nature Communications (2024). https://doi.org/10.1038/s41467-024-51075-5.

  2. Qi G, Battle A. Computational methods for allele-specific expression in single cells. Trends in Genetics (2024). https://doi.org/10.1016/j.tig.2024.07.003.

  3. Jin J, Qi G, Yu Z, Chatterjee N. Mendelian randomization analysis using multiple biomarkers of an underlying common exposure. Biostatistics (2024). https://doi.org/10.1093/biostatistics/kxae006.

  4. Strober BJ, Karl K, Popp J, Qi G, Gordon MG, Perez R, Ye CJ, Battle A. SURGE: uncovering context-specific genetic-regulation of gene expression from single-cell RNA sequencing using latent-factor models. Genome Biology (2024). https://doi.org/10.1186/s13059-023-03152-z.

  5. Qi G, Strober BJ, Popp JM, Keener R, Ji H, Battle A. Single-cell allele-specific expression analysis reveals dynamic and cell-type-specific regulatory effects. Nature Communications (2023). https://doi.org/10.1038/s41467-023-42016-9.

  6. Elorbany R, Popp JM, Rhodes K, Strober BJ, Barr K, Qi G, Gilad YM, Battle A. Single-cell sequencing reveals lineage-specific dynamic genetic regulation of gene expression during human cardiomyocyte differentiation. PLoS Genetics (2022). https://doi.org/10.1371/journal.pgen.1009666.

  7. Qi G, Dutta D, Leroux A, Ray D, Crainiceanu C, Chatterjee N. Genome-wide association studies of 27 accelerometry-derived physical activity measurements identifies novel loci and genetic mechanisms. Genetic Epidemiology (2022). http://doi.org/10.1002/gepi.22441.

  8. Qi G, Chatterjee N. A comprehensive evaluation of methods for Mendelian randomization using realistic simulations of genome-wide association studies. International Journal of Epidemiology (2021). https://doi.org/10.1093/ije/dyaa262.

  9. Arvanitis M, Qi G, Bhatt DL, Post WS, Chatterjee N, Battle A, McEvoy JW. A linear and non-linear Mendelian randomization analysis of the association between diastolic blood pressure and cardiovascular events: the J curve revisited. Circulation (2020). https://doi.org/10.1161/CIRCULATIONAHA.120.049819.

  10. Yu Z, Coresh J, Qi G, …, Chatterjee N, Tin A. et al. A bidirectional Mendelian randomization study supports causal effects of kidney function on blood pressure. Kidney International (2020). https://doi.org/10.1016/j.kint.2020.04.044.

  11. Zhang H, Ahearn TU, Lecarpentier J, Barnes D, Beesley J, Qi G, …, Chatterjee N, and Garcia-Closas M. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses. Nature Genetics (2020): 1-10. https://doi.org/10.1038/s41588-020-0609-2.

  12. Qi G, Chatterjee N. Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects. Nature Communications 10.1 (2019): 1941. https://doi.org/10.1038/s41467-019-09432-2.

  13. Qi G, Chatterjee N. Heritability informed power optimization (HIPO) leads to enhanced detection of genetic associations across multiple traits. PLoS Genetics 14, no. 10 (2018): e1007549. https://doi.org/10.1371/journal.pgen.1007549.

  14. Zhang Y, Qi G, Park JH, Chatterjee N. Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traits. Nature Genetics 50, no. 9 (2018): 1318. https://doi.org/10.1038/s41588-018-0193-x.

  15. Geuter S, Qi G, Welsh RC, Wager TD, Lindquist MA. Effect size and power in fMRI group analysis. bioRxiv (2018): 295048. https://doi.org/10.1101/295048.