JIA lab

Selected highlights:

• . G. Jia#*, Y. Li#, …, X. Gao*, A. Rzhetsky*.  The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nature Computational Science (2023).(#co-first, *co-corresponding)

• . G. Jia, Zhong, X., Im, H.K. et al. Discerning asthma endotypes through comorbidity mapping. Nature Communications (2022).

• . G. Jia, Y. Li, H. Zhang, I. Chattopadhyay, A. B. Jensen, D. R. Blair, L. Davis, P. N. Robinson, T. Dahlén, S. Brunak, M. Benson, G. Edgren, N. J. Cox, X. Gao, A. Rzhetsky, 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

Full list

• . 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… Liu, Y. X. The Microbiome Protocols eBook initiative: Building a bridge to microbiome research. iMeta (2024).

• . Zhongting Chen*, Shuxia Hao, Zhaoyuan He,Jing Liu, Jin Zhao, Chunrong Chen, Gengjie Jia#, Hailan Chen. Widely targeted metabolomics analysis reveals the major metabolites in the hemp seeds from the longevity village of Bama, China. Industrial Crops and Products (2023).

• . G. Jia#*, Y. Li#, …, X. Gao*, A. Rzhetsky*.  The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nature Computational Science (2023).

• . Chen chen#,  …, G. Jia*, Ta-na Wuyun*, Construction of Apricot Variety Search Engine Based on Deep Learning. Horticultural Plant Journal (2023).

• . G. Jia, Zhong, X., Im, H.K. et al. Discerning asthma endotypes through comorbidity mapping. Nature Communications (2022).

• . 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).

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

• . G. Jia, Y. Li, H. Zhang, I. Chattopadhyay, A. B. Jensen, D. R. Blair, L. Davis, P. N. Robinson, T. Dahlén, S. Brunak, M. Benson, G. Edgren, N. J. Cox, X. Gao, A. Rzhetsky, 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

• . C. Zhang, H. Tu, G. Jia, T. Mukhtar, V. Taylor, A. Rzhetsky, S. Tay, Ultra-multiplexed Analysis of Single-cell Dynamics Reveals Logic Rules in Differentiation. Science Advances (2019).

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

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

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