Schadt, Eric E.

Proteogenomic characterization of pancreatic ductal adenocarcinoma

Cao, L., Huang, C., Cui Zhou, D., Hu, Y., Lih, T. M., Savage, S. R., Krug, K., Clark, D. J., Schnaubelt, M., Chen, L., et al. (2021) · Cell

Pancreatic and Hepatic Oncology ResearchCancer Genomics and Diagnostics

Cited by 578

The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer’s disease

Wang, M., Beckmann, N. D., Roussos, P., Wang, E., Zhou, X., Wang, Q., Ming, C., Neff, R., Ma, W., Fullard, J. F., et al. (2018) · Scientific Data

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 502

Proteogenomic Characterization of Endometrial Carcinoma

Dou, Y., Kawaler, E. A., Cui Zhou, D., Gritsenko, M. A., Huang, C., Blumenberg, L., Karpova, A., Petyuk, V. A., Savage, S. R., Satpathy, S., et al. (2020) · Cell

Endometrial and Cervical Cancer TreatmentsAdvanced Proteomics Techniques and Applications

Cited by 485

Integrating Genetic and Network Analysis to Characterize Genes Related to Mouse Weight

Ghazalpour, A., Doss, S., Zhang, B., Wang, S., Plaisier, C., Castellanos, R., Brozell, A., Schadt, E. E., Drake, T. A., Lusis, A. J., et al. (2006) · PLoS Genetics

Bioinformatics and Genomic NetworksGenetic Mapping and Diversity in Plants and Animals

Cited by 462

Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility

Raj, T., Li, Y. I., Wong, G., Humphrey, J., Wang, M., Ramdhani, S., Wang, Y.-C., Ng, B., Gupta, I., Haroutunian, V., et al. (2018) · Nature Genetics

RNA Research and SplicingAlzheimer's disease research and treatments

Cited by 410

Functional variants in the LRRK2 gene confer shared effects on risk for Crohn’s disease and Parkinson’s disease

Hui, K. Y., Fernandez-Hernandez, H., Hu, J., Schaffner, A., Pankratz, N., Hsu, N.-Y., Chuang, L.-S., Carmi, S., Villaverde, N., Li, X., et al. (2018) · Science Translational Medicine

Parkinson's Disease Mechanisms and TreatmentsInflammatory Bowel Disease

Cited by 384

Directed differentiation of human pluripotent stem cells to microglia

Douvaras, P., Sun, B., Wang, M., Kruglikov, I., Lallos, G., Zimmer, M., Terrenoire, C., Zhang, B., Gandy, S., Schadt, E., et al. (2017) · Stem Cell Reports

Pluripotent Stem Cells ResearchNeuroinflammation and Neurodegeneration Mechanisms

Cited by 381

A gene expression network model of type 2 diabetes links cell cycle regulation in islets with diabetes susceptibility

Keller, M. P., Choi, Y., Wang, P., Belt Davis, D., Rabaglia, M. E., Oler, A. T., Stapleton, D. S., Argmann, C., Schueler, K. L., Edwards, S., et al. (2008) · Genome Research

Pancreatic function and diabetesDiabetes and associated disorders

Cited by 377

Gaining comprehensive biological insight into the transcriptome by performing a broad-spectrum RNA-seq analysis

Sahraeian, S. M. E., Mohiyuddin, M., Sebra, R., Tilgner, H., Afshar, P. T., Au, K. F., Bani Asadi, N., Gerstein, M. B., Wong, W. H., Snyder, M. P., et al. (2017) · Nature Communications

Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics

Cited by 376

Genome-wide mapping of methylated adenine residues in pathogenic Escherichia coli using single-molecule real-time sequencing

Fang, G., Munera, D., Friedman, D. I., Mandlik, A., Chao, M. C., Banerjee, O., Feng, Z., Losic, B., Mahajan, M. C., Jabado, O. J., et al. (2012) · Nature Biotechnology

Epigenetics and DNA MethylationRNA modifications and cancer

Cited by 360

Characterization of the human ESC transcriptome by hybrid sequencing

Au, K. F., Sebastiano, V., Afshar, P. T., Durruthy, J. D., Lee, L., Williams, B. A., van Bakel, H., Schadt, E. E., Reijo-Pera, R. A., Underwood, J. G., et al. (2013) · Proceedings of the National Academy of Sciences

Genomics and Phylogenetic StudiesRNA Research and Splicing

Cited by 341

Genetic evidence of assortative mating in humans

Robinson, M. R., Kleinman, A., Graff, M., Vinkhuyzen, A. A. E., Couper, D., Miller, M. B., Peyrot, W. J., Abdellaoui, A., Zietsch, B. P., Nolte, I. M., et al. (2017) · Nature Human Behaviour

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 326

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

Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer’s disease

Wang, M., Roussos, P., McKenzie, A., Zhou, X., Kajiwara, Y., Brennand, K. J., De Luca, G. C., Crary, J. F., Casaccia, P., Buxbaum, J. D., et al. (2016) · Genome Medicine

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 314

Analysis of 589,306 genomes identifies individuals resilient to severe Mendelian childhood diseases

Chen, R., Shi, L., Hakenberg, J., Naughton, B., Sklar, P., Zhang, J., Zhou, H., Tian, L., Prakash, O., Lemire, M., et al. (2016) · Nature Biotechnology

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 310

Molecular subtyping of Alzheimer’s disease using RNA sequencing data reveals novel mechanisms and targets

Neff, R. A., Wang, M., Vatansever, S., Guo, L., Ming, C., Wang, Q., Wang, E., Horgusluoglu-Moloch, E., Song, W.-M., Li, A., et al. (2021) · Science Advances

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 306

Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models

Wan, Y.-W., Al-Ouran, R., Mangleburg, C. G., Perumal, T. M., Lee, T. V., Allison, K., Swarup, V., Funk, C. C., Gaiteri, C., Allen, M., et al. (2020) · Cell Reports

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 295

Evidence for novel susceptibility genes for late-onset Alzheimer's disease from a genome-wide association study of putative functional variants

Grupe, A., Abraham, R., Li, Y., Rowland, C., Hollingworth, P., Morgan, A., Jehu, L., Segurado, R., Stone, D., Schadt, E., et al. (2007) · Human Molecular Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 289

Cardiometabolic risk loci share downstream cis- and trans-gene regulation across tissues and diseases

Franzén, O., Ermel, R., Cohain, A., Akers, N. K., Di Narzo, A., Talukdar, H. A., Foroughi-Asl, H., Giambartolomei, C., Fullard, J. F., Sukhavasi, K., et al. (2016) · Science

Genetic Associations and EpidemiologyNutrition, Genetics, and Disease

Cited by 288

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

Cis -acting expression quantitative trait loci in mice

Doss, S., Schadt, E. E., Drake, T. A., & Lusis, A. J. (2005) · Genome Research

Genetic Mapping and Diversity in Plants and AnimalsGenetic Associations and Epidemiology

Cited by 273

A Role for Noncoding Variation in Schizophrenia

Roussos, P., Mitchell, A. C., Voloudakis, G., Fullard, J. F., Pothula, V. M., Tsang, J., Stahl, E. A., Georgakopoulos, A., Ruderfer, D. M., Charney, A., et al. (2014) · Cell Reports

Genetic Associations and EpidemiologySchizophrenia research and treatment

Cited by 251

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