Snyder, Michael

Integrative analysis of RNA, translation and protein levels reveals distinct regulatory variation across humans

Cenik, C., Sarinay Cenik, E., Byeon, G. W., Grubert, F., Candille, S. I., Spacek, D., Alsallakh, B., Tilgner, H., Araya, C. L., Tang, H., et al. (2015) · Genome Research

RNA and protein synthesis mechanismsRNA Research and Splicing

Cited by 208

Integrative analysis of RNA, translation, and protein levels reveals distinct regulatory variation across humans

Cenik, C., Cenik, E. S., Byeon, G. W., Grubert, F., Candille, S. I., Spacek, D., Alsallakh, B., Tilgner, H., Araya, C. L., Tang, H., et al. (2015) · Genome Research

RNA and protein synthesis mechanismsRNA Research and Splicing

Cited by 208

A genome-wide atlas of co-essential modules assigns function to uncharacterized genes

Wainberg, M., Kamber, R. A., Balsubramani, A., Meyers, R. M., Sinnott-Armstrong, N., Hornburg, D., Jiang, L., Chan, J., Jian, R., Gu, M., et al. (2021) · Nature Genetics

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 204

A genome-wide almanac of co-essential modules assigns function to uncharacterized genes

Wainberg, M., Kamber, R. A., Balsubramani, A., Meyers, R. M., Sinnott-Armstrong, N., Hornburg, D., Jiang, L., Chan, J., Jian, R., Gu, M., et al. (2019) · Nature Genetics

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 204

Identification of phagocytosis regulators using magnetic genome-wide CRISPR screens

Haney, M. S., Bohlen, C. J., Morgens, D. W., Ousey, J. A., Barkal, A. A., Tsui, C. K., Ego, B. K., Levin, R., Kamber, R. A., Collins, H., et al. (2018) · Nature Genetics

Phagocytosis and Immune RegulationCellular transport and secretion

Cited by 193

Histone variant H2A.J accumulates in senescent cells and promotes inflammatory gene expression

Contrepois, K., Coudereau, C., Benayoun, B. A., Schuler, N., Roux, P.-F., Bischof, O., Courbeyrette, R., Carvalho, C., Thuret, J.-Y., Ma, Z., et al. (2017) · Nature Communications

Telomeres, Telomerase, and SenescenceGenomics and Chromatin Dynamics

Cited by 191

Dynamic transcriptomes during neural differentiation of human embryonic stem cells revealed by short, long, and paired-end sequencing

Wu, J. Q., Habegger, L., Noisa, P., Szekely, A., Qiu, C., Hutchison, S., Raha, D., Egholm, M., Lin, H., Weissman, S., et al. (2010) · Proceedings of the National Academy of Sciences

Pluripotent Stem Cells ResearchSingle-cell and spatial transcriptomics

Cited by 189

Genome-wide relationship between histone H3 lysine 4 mono- and tri-methylation and transcription factor binding

Robertson, A. G., Bilenky, M., Tam, A., Zhao, Y., Zeng, T., Thiessen, N., Cezard, T., Fejes, A. P., Wederell, E. D., Cullum, R., et al. (2008) · Genome Research

Genomics and Chromatin DynamicsEpigenetics and DNA Methylation

Cited by 182

Ubiquitous heterogeneity and asymmetry of the chromatin environment at regulatory elements

Kundaje, A., Kyriazopoulou-Panagiotopoulou, S., Libbrecht, M., Smith, C. L., Raha, D., Winters, E. E., Johnson, S. M., Snyder, M., Batzoglou, S., & Sidow, A. (2012) · Genome Research

Genomics and Chromatin DynamicsChromatin Remodeling and Cancer

Cited by 178

An integrative ENCODE resource for cancer genomics

Zhang, J., Lee, D., Dhiman, V., Jiang, P., Xu, J., McGillivray, P., Yang, H., Liu, J., Meyerson, W., Clarke, D., et al. (2020) · Nature Communications

Genomics and Chromatin DynamicsChromatin Remodeling and Cancer

Cited by 172

Transcriptome Profiling of Patient-Specific Human iPSC-Cardiomyocytes Predicts Individual Drug Safety and Efficacy Responses In Vitro

Matsa, E., Burridge, P. W., Yu, K.-H., Ahrens, J. H., Termglinchan, V., Wu, H., Liu, C., Shukla, P., Sayed, N., Churko, J. M., et al. (2016) · Cell stem cell

Pluripotent Stem Cells ResearchCardiac electrophysiology and arrhythmias

Cited by 164

NIH working group report—using genomic information to guide weight management: from universal to precision treatment

Bray, M. S., Loos, R. J. F., McCaffery, J. M., Ling, C., Franks, P. W., Weinstock, G. M., Snyder, M. P., Vassy, J. L., Agurs‐Collins, T., & The Conference Working Group (2016) · Obesity

Nutrition, Genetics, and DiseaseGenetic Associations and Epidemiology

Cited by 138

Integrated systems analysis reveals a molecular network underlying autism spectrum disorders

Li, J., Shi, M., Ma, Z., Zhao, S., Euskirchen, G., Ziskin, J., Urban, A., Hallmayer, J., & Snyder, M. (2014) · Molecular Systems Biology

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 132

Lifelong physical activity is associated with promoter hypomethylation of genes involved in metabolism, myogenesis, contractile properties and oxidative stress resistance in aged human skeletal muscle

Sailani, M. R., Halling, J. F., Møller, H. D., Lee, H., Plomgaard, P., Pilegaard, H., Snyder, M. P., & Regenberg, B. (2019) · Scientific Reports

Epigenetics and DNA MethylationGenetics and Physical Performance

Cited by 129

The gut microbiome: a key player in the complexity of amyotrophic lateral sclerosis (ALS)

Boddy, S. L., Giovannelli, I., Sassani, M., Cooper-Knock, J., Snyder, M. P., Segal, E., Elinav, E., Barker, L. A., Shaw, P. J., & McDermott, C. J. (2021) · BMC Medicine

Gut microbiota and healthAmyotrophic Lateral Sclerosis Research

Cited by 127

Biomni: A general-purpose biomedical ai agent

Huang, K., Zhang, S., Wang, H., Qu, Y., Lu, Y., Roohani, Y., Li, R., Qiu, L., Li, G., Zhang, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory)

Biomedical Text Mining and OntologiesArtificial Intelligence in Healthcare and Education

Cited by 125

Statins are associated with increased insulin resistance and secretion

Abbasi, F., Lamendola, C., Harris, C. S., Harris, V., Tsai, M.-S., Tripathi, P., Abbas, F., Reaven, G. M., Reaven, P. D., Snyder, M. P., et al. (2021) · Arteriosclerosis Thrombosis and Vascular Biology

Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 98

Digital health application integrating wearable data and behavioral patterns improves metabolic health

Zahedani, A. D., McLaughlin, T., Veluvali, A., Aghaeepour, N., Hosseinian, A., Agarwal, S., Ruan, J., Tripathi, S., Woodward, M., Hashemi, N., et al. (2023) · npj Digital Medicine

Mobile Health and mHealth ApplicationsDiabetes Management and Research

Cited by 96

Whole Genome Sequence Analysis of the Plasma Proteome in Black Adults Provides Novel Insights Into Cardiovascular Disease

Katz, D. H., Tahir, U. A., Bick, A. G., Pampana, A., Ngo, D., Benson, M. D., Yu, Z., Robbins, J. M., Chen, Z.-Z., Cruz, D. E., et al. (2022) · Circulation

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 92

A core erythroid transcriptional network is repressed by a master regulator of myelo-lymphoid differentiation

Wontakal, S. N., Guo, X., Smith, C., MacCarthy, T., Bresnick, E. H., Bergman, A., Snyder, M. P., Weissman, S. M., Zheng, D., & Skoultchi, A. I. (2012) · Proceedings of the National Academy of Sciences

Kruppel-like factors researchGenomics and Chromatin Dynamics

Cited by 79

Microfluidic isoform sequencing shows widespread splicing coordination in the human transcriptome

Tilgner, H., Jahanbani, F., Gupta, I., Collier, P., Wei, E., Rasmussen, M., & Snyder, M. (2018) · Genome Research

RNA Research and SplicingGenomics and Phylogenetic Studies

Cited by 71

Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Barbeira, A. N., Dickinson, S. P., Bonazzola, R., Zheng, J., Wheeler, H. E., Torres, J. M., Torstenson, E. S., Shah, K. P., Garcia, T., Edwards, T. L., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 69

iPSC Modeling of RBM20-Deficient DCM Identifies Upregulation of RBM20 as a Therapeutic Strategy

Briganti, F., Sun, H., Wei, W., Wu, J., Zhu, C., Liss, M., Karakikes, I., Rego, S., Cipriano, A., Snyder, M., et al. (2020) · Cell Reports

Pluripotent Stem Cells ResearchCardiac electrophysiology and arrhythmias

Cited by 68

Personal Omics for Precision Health

Kellogg, R. A., Dunn, J., & Snyder, M. P. (2018) · Circulation Research

Health, Environment, Cognitive AgingBioinformatics and Genomic Networks

Cited by 66