JIA lab

Representative Papers:     (#co-first, *co-corresponding)

• . Jia, G.#, He, P.#, Dai, T.#, Goh, D.#, Wang, J., Sun, M., Wee, F., Li, F., Lim, J. C. T., Hao, S., Liu, Y., Lim, T. K. H., Ngo, N.-T., Tao, Q., Wang, W., Umar, A., Nashan, B., Zhang, Y., Ding, C.,Yeong, J.*, Liu L.*, Sun, C*.Spatial immune scoring system predicts hepatocellular carcinoma recurrence. Nature (2025).

• . Zhang, X.# Liu, H.#, Li, Y., Wen, Y., Xu, T., Chen, C., Hao, S., Hu, J.*, Nie, S.*, Gao, F.*, Jia, G.* Linking dietary fiber to human malady through cumulative profiling of microbiota disturbance. iMeta (2025).

• . Jia, G.#*, Li, Y.#, Zhong, X., Wang, K., Pividori, M., Alomairy, R., Esposito, A., Ltaief, H., Terao, C., Akiyama, M., Matsuda, K., Keyes, D. E., Im, H. K., Gojobori, T., Kamatani, Y., Kubo, M., Cox, N. J., Evans, J., Gao, X.*, Rzhetsky, A.* The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nature Computational Science (2023).

• . Jia, G., Zhong, X., Im, H. K., Schoettler, N., Pividori, M., Hogarth, D. K., Sperling, A. I., White, S. R., Naureckas, E. T., Lyttle, C. S., Terao, C., Kamatani, Y., Akiyama, M., Matsuda, K., Kubo, M., Cox, N. J., Ober, C.*, Rzhetsky, A.*, Solway, J.* Discerning asthma endotypes through comorbidity mapping. Nature Communications  (2022)

• . Jia, G., Yu L., Zhang, H., Chattopadhyay, I., Boeck Jensen, A., Blair, D. R., Davis, L., Robinson, P. N., Dahlén, T., Brunak, S., Benson, M., Edgren, G., Cox, N. J., Gao, X., Rzhetsky, A.* Estimating Heritability and Genetic Correlations from Large Health Datasets in the Absence of Genetic Data. Nature Communications (2019)  AAAS news highlight | Sex-and-country-stratified prevalence curves for over 500 diseases | Machine learning features for heritability and correlation imputation

Other Papers:

• . Xu, T., Li, Y.*, Gao, X.*, Rzhetsky, A.*, Jia, G.* An effective encoding of human medical conditions in disease space provides a versatile framework for deciphering disease associations. Quantitative Biology (2025).

• . Jarvis, A.*, Gallo-Franco, J., Portilla, J., German, B., Debouck, D., Rajasekharan, M., Khoury, C., Herforth, A., Ahmed, S., Tohme, J., Arnaud, E., Golden, C. D., Dawid, C., de Haan, S., DeClerck, F., Feskens, E. J. M., Fogliano, V., Fritz, G., Hald, C., Hall, R., Jia, G., … de la Parra, J. Periodic Table of Food Initiative for generating biomolecular knowledge of edible biodiversity. Nature food (2024).

• . Wu. X.#, Luo. G.#, Dong. Z.,Zheng. W.*, Jia, G.* Integrated Pleiotropic Gene Set Unveils Comorbidity Insights across Digestive Cancers and Other Diseases. Genes (2024).

• . Gao, Y.#, Peng, K.#, Bai, D., Bai, X. Y., Bi, Y., Chen, A., Chen, B., Chen, F., Chen, J., Chen, L., Chen, T., Chen, W., Cheng, X., Cheng, Y., Cui, J., Dai, J., Dai, J., Dai, Z., Deng, Y., Deng, Y. Z., Jia, G.…, Chu H. Y.*, Bai Y.*, Liu, Y. X.* The Microbiome Protocols eBook initiative: Building a bridge to microbiome research. iMeta (2024).

• . Chen, Z.#, Hao, S.#, He, Z., Liu, J., Zhao, J., Chen, C.,Jia, G.*, Chen, H.* Widely targeted metabolomics analysis reveals the major metabolites in the hemp seeds from the longevity village of Bama, China. Industrial Crops and Products  (2023).

• . Chen, C., Wang, L., Liu, H., Liu, J., Xu, W., Huang, M., Gou, N., Wang, C., Bai, H., Jia, G.*, Wuyun, T.* Construction of apricot variety search engine based on deep learning. Horticultural Plant Journal  (2024)

• . Rivelli, A., Fitzpatrick, V., Wales, D., Chicoine, L., Jia, G., Rzhetsky, A., Chicoine, B.* Prevalence of Endocrine Disorders Among 6078 Individuals With Down Syndrome in the United States. Journal of patient-centered research and reviews, (2022).

• . Fitzpatrick, V., Rivelli, A., Chaudhari, S., Chicoine, L., Jia, G., Rzhetsky, A., Chicoine, B.*Prevalence of Infectious Diseases Among 6078 Individuals With Down Syndrome in the United States. Journal of patient-centered research and reviews, (2022).

• . Rivelli, A., Fitzpatrick, V., Chaudhari, S., Chicoine, Jia, G., Rzhetsky, A., Chicoine, B.* Prevalence of Mental Health Conditions Among 6078 Individuals With Down Syndrome in the United States. Journal of patient-centered research and reviews, (2022).

• . Chicoine, B., Rivelli, A., Fitzpatrick, V., Chicoine, L., Jia, G., Rzhetsky, A.* Prevalence of Common Disease Conditions in a Large Cohort of Individuals With Down Syndrome in the United States. Journal of patient-centered research and reviews, (2021).

• . Zhong, X.*, Yin, Z., Jia, G., Zhou, D., Wei, Q., Faucon, A., Evans, P., Gamazon, E. R., Li, B., Tao, R., Rzhetsky, A., Bastarache, L., Cox, N. J.* Electronic health record phenotypes associated with genetically regulated expression of CFTR and application to cystic fibrosis. Genetics in Medicine  (2020).

• . Zhang, C., Tu, H.-L., Jia, G., Mukhtar, T., Taylor, V., Rzhetsky, A., Tay, S.* Ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation. Science Advances (2019).

• . Jia, G., Stephanopoulos, G., Gunawan, R.* Ensemble Kinetic Modeling of Metabolic Networks from Dynamic Metabolic Profiles. Metabolites (2012).

• . Jia, G., Stephanopoulos, G., Gunawan, R.* Incremental Parameter Estimation of Kinetic Metabolic Network Models. BMC Systems Biology (2012).

• . Jia, G., Stephanopoulos, G., Gunawan, R.* Parameter Estimation of Kinetic Models from Metabolic Profiles: Two-phase Dynamic Decoupling Method.Bioinformatics (2011).