Zhu, Jun

Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease

Zhang, B., Gaiteri, C., Bodea, L.-G., Wang, Z., McElwee, J., Podtelezhnikov, A. A., Zhang, C., Xie, T., Tran, L., Dobrin, R., et al. (2013) · Cell

Alzheimer's disease research and treatmentsBioinformatics and Genomic Networks

Cited by 1,657

Genetics of gene expression and its effect on disease

Emilsson, V., Thorleifsson, G., Zhang, B., Leonardson, A. S., Zink, F., Zhu, J., Carlson, S., Helgason, A., Walters, G. B., Gunnarsdottir, S., et al. (2008) · Nature

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 1,296

Gene expression elucidates functional impact of polygenic risk for schizophrenia

Fromer, M., Roussos, P., Sieberts, S. K., Johnson, J. S., Kavanagh, D. H., Perumal, T. M., Ruderfer, D. M., Oh, E. C., Topol, A., Shah, H. R., et al. (2016) · Nature Neuroscience

Schizophrenia research and treatmentGenetic Associations and Epidemiology

Cited by 1,091

An integrative genomics approach to infer causal associations between gene expression and disease

Schadt, E. E., Lamb, J., Yang, X., Zhu, J., Edwards, S., GuhaThakurta, D., Sieberts, S. K., Monks, S., Reitman, M., Zhang, C., et al. (2005) · Nature Genetics

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 1,043

Variations in DNA elucidate molecular networks that cause disease

Chen, Y., Zhu, J., Lum, P. Y., Yang, X., Pinto, S., MacNeil, D. J., Zhang, C., Lamb, J., Edwards, S., Sieberts, S. K., et al. (2008) · Nature

Bioinformatics and Genomic NetworksNutrition, Genetics, and Disease

Cited by 887

Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma

Clark, D. J., Dhanasekaran, S. M., Petralia, F., Pan, J., Song, X., Hu, Y., da Veiga Leprevost, F., Reva, B., Lih, T.-S. M., Chang, H.-Y., et al. (2019) · Cell

Renal cell carcinoma treatmentCancer Genomics and Diagnostics

Cited by 730

Co-regulatory networks of human serum proteins link genetics to disease

Emilsson, V., Ilkov, M., Lamb, J. R., Finkel, N., Gudmundsson, E. F., Pitts, R., Hoover, H., Gudmundsdottir, V., Horman, S. R., Aspelund, T., et al. (2018) · Science

Bioinformatics and Genomic NetworksGenetic Associations and Epidemiology

Cited by 680

Proteogenomic and metabolomic characterization of human glioblastoma

Wang, L.-B., Karpova, A., Gritsenko, M. A., Kyle, J. E., Cao, S., Li, Y., Rykunov, D., Colaprico, A., Rothstein, J. H., Hong, R., et al. (2021) · Cancer Cell

Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics

Cited by 661

Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions

Sieberts, S. K., Perumal, T. M., Carrasquillo, M. M., Allen, M., Reddy, J. S., Hoffman, G. E., Dang, K. K., Calley, J., Ebert, P. J., Eddy, J., et al. (2020) · Scientific Data

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 318

Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer

Petralia, F., Tignor, N., Reva, B., Koptyra, M., Chowdhury, S., Rykunov, D., Krek, A., Ma, W., Zhu, Y., Ji, J., et al. (2020) · Cell

Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics

Cited by 317

EMT- and stroma-related gene expression and resistance to PD-1 blockade in urothelial cancer

Wang, L., Saci, A., Szabo, P. M., Chasalow, S. D., Castillo-Martin, M., Domingo-Domenech, J., Siefker-Radtke, A., Sharma, P., Sfakianos, J. P., Gong, Y., et al. (2018) · Nature Communications

Cancer Immunotherapy and BiomarkersBladder and Urothelial Cancer Treatments

Cited by 313

Validation of candidate causal genes for obesity that affect shared metabolic pathways and networks

Yang, X., Deignan, J. L., Qi, H., Zhu, J., Qian, S., Zhong, J., Torosyan, G., Majid, S., Falkard, B., Kleinhanz, R. R., et al. (2009) · Nature Genetics

Bioinformatics and Genomic NetworksGenetic Associations and Epidemiology

Cited by 288

The Genotype-Tissue Expression (GTEx) project

Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., Hasz, R., Walters, G., Garcia, F., Young, N., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics

Cited by 263

An integrative genomics approach to the reconstruction of gene networks in segregating populations

Zhu, J., Lum, P. Y., Lamb, J., GuhaThakurta, D., Edwards, S. W., Thieringer, R., Berger, J. P., Wu, M. S., Thompson, J., Sachs, A. B., et al. (2004) · Cytogenetic and Genome Research

Gene Regulatory Network AnalysisBioinformatics and Genomic Networks

Cited by 221

Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases

Narayanan, M., Huynh, J. L., Wang, K., Yang, X., Yoo, S., McElwee, J., Zhang, B., Zhang, C., Lamb, J. R., Xie, T., et al. (2014) · Molecular Systems Biology

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 208

Stitching together multiple data dimensions reveals interacting metabolomic and transcriptomic networks that modulate cell regulation

Zhu, J., Sova, P., Xu, Q., Dombek, K. M., Xu, E. Y., Vu, H., Tu, Z., Brem, R. B., Bumgarner, R. E., & Schadt, E. E. (2012) · PLoS Biology

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 205

Integrative Genomics Reveals Novel Molecular Pathways and Gene Networks for Coronary Artery Disease

Mäkinen, V.-P., Civelek, M., Meng, Q., Zhang, B., Zhu, J., Levian, C., Huan, T., Segrè, A. V., Ghosh, S., Vivar, J., et al. (2014) · PLoS Genetics

Bioinformatics and Genomic NetworksGenetic Associations and Epidemiology

Cited by 196

Transformative Network Modeling of Multi-omics Data Reveals Detailed Circuits, Key Regulators, and Potential Therapeutics for Alzheimer’s Disease

Wang, M., Li, A., Sekiya, M., Beckmann, N. D., Quan, X., Schrode, N., Fernando, M. B., Yu, A., Zhu, L., Cao, J., et al. (2021) · Neuron

Alzheimer's disease research and treatmentsBioinformatics and Genomic Networks

Cited by 185

Multiscale causal networks identify VGF as a key regulator of Alzheimer’s disease

Beckmann, N. D., Lin, W.-J., Wang, M., Cohain, A. T., Charney, A. W., Wang, P., Ma, W., Wang, Y.-C., Jiang, C., Audrain, M., et al. (2020) · Nature Communications

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 172

A Systems Biology Framework Identifies Molecular Underpinnings of Coronary Heart Disease

Huan, T., Zhang, B., Wang, Z., Joehanes, R., Zhu, J., Johnson, A. D., Ying, S., Munson, P. J., Raghavachari, N., Wang, R., et al. (2013) · Arteriosclerosis, Thrombosis, and Vascular Biology

Bioinformatics and Genomic NetworksGenetic Associations and Epidemiology

Cited by 167

Multiscale network modeling of oligodendrocytes reveals molecular components of myelin dysregulation in Alzheimer’s disease

McKenzie, A. T., Moyon, S., Wang, M., Katsyv, I., Song, W.-M., Zhou, X., Dammer, E. B., Duong, D. M., Aaker, J., Zhao, Y., et al. (2017) · Molecular Neurodegeneration

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 154

Myeloid Cell-associated Resistance to PD-1/PD-L1 Blockade in Urothelial Cancer Revealed Through Bulk and Single-cell RNA Sequencing

Wang, L., Sfakianos, J. P., Beaumont, K. G., Akturk, G., Horowitz, A., Sebra, R. P., Farkas, A. M., Gnjatic, S., Hake, A., Izadmehr, S., et al. (2021) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersImmune cells in cancer

Cited by 97

EPRS is a critical regulator of cell proliferation and estrogen signaling in ER+ breast cancer

Katsyv, I., Wang, M., Song, W. M., Zhou, X., Zhao, Y., Park, S., Zhu, J., Zhang, B., & Irie, H. Y. (2016) · Oncotarget

Estrogen and related hormone effectsRNA and protein synthesis mechanisms

Cited by 47

Discover the network mechanisms underlying the connections between aging and age-related diseases

Yang, J., Huang, T., Song, W.-M., Petralia, F., Mobbs, C. V., Zhang, B., Zhao, Y., Schadt, E. E., Zhu, J., & Tu, Z. (2016) · Scientific Reports

Bioinformatics and Genomic NetworksGenetics, Aging, and Longevity in Model Organisms

Cited by 46