Hoffman, Gabriel E.
James J. Peters VA Medical Center · Icahn School of Medicine at Mount Sinai
15 papers on CoChatORCID 0000-0002-0957-0224
Most cited papers
- Verified
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Trubetskoy, V., Pardiñas, A. F., Qi, T., Panagiotaropoulou, G., Awasthi, S., Bigdeli, T. B., Bryois, J., Chen, C.-Y., Dennison, C. A., Hall, L. S., et al. (2022) · Nature
Schizophrenia research and treatmentGenetic Associations and Epidemiology
Cited by 2,964
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Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
Gandal, M. J., Zhang, P., Hadjimichael, E., Walker, R. L., Chen, C., Liu, S., Won, H., van Bakel, H., Varghese, M., Wang, Y., et al. (2018) · Science
Autism Spectrum Disorder ResearchSchizophrenia research and treatment
Cited by 1,247
- Verified
Integrative functional genomic analysis of human brain development and neuropsychiatric risks
Li, M., Santpere, G., Imamura Kawasawa, Y., Evgrafov, O. V., Gulden, F. O., Pochareddy, S., Sunkin, S. M., Li, Z., Shin, Y., Zhu, Y., et al. (2018) · Science
Genetics and Neurodevelopmental DisordersGenomics and Chromatin Dynamics
Cited by 810
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variancePartition: interpreting drivers of variation in complex gene expression studies
Hoffman, G. E., & Schadt, E. E. (2016) · BMC Bioinformatics
Gene expression and cancer classificationBioinformatics and Genomic Networks
Cited by 769
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Dream: powerful differential expression analysis for repeated measures designs
Hoffman, G. E., & Roussos, P. (2021) · Bioinformatics
Gene expression and cancer classificationBioinformatics and Genomic Networks
Cited by 319
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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
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Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk
Rajarajan, P., Borrman, T., Liao, W., Schrode, N., Flaherty, E., Casiño, C., Powell, S., Yashaswini, C., LaMarca, E. A., Kassim, B., et al. (2018) · Science
Genomics and Chromatin DynamicsSchizophrenia research and treatment
Cited by 219
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Genetics of the human microglia regulome refines Alzheimer’s disease risk loci
Kosoy, R., Fullard, J. F., Zeng, B., Bendl, J., Dong, P., Rahman, S., Kleopoulos, S. P., Shao, Z., Girdhar, K., Humphrey, J., et al. (2022) · Nature Genetics
Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments
Cited by 168
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Cell-specific histone modification maps in the human frontal lobe link schizophrenia risk to the neuronal epigenome
Girdhar, K., Hoffman, G. E., Jiang, Y., Brown, L., Kundakovic, M., Hauberg, M. E., Francoeur, N. J., Wang, Y.-C., Shah, H., Kavanagh, D. H., et al. (2018) · Nature Neuroscience
Genomics and Chromatin DynamicsSchizophrenia research and treatment
Cited by 139
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Patterns of Ancestry, Signatures of Natural Selection, and Genetic Association with Stature in Western African Pygmies
Jarvis, J. P., Scheinfeldt, L. B., Soi, S., Lambert, C., Omberg, L., Ferwerda, B., Froment, A., Bodo, J.-M., Beggs, W., Hoffman, G., et al. (2012) · PLoS Genetics
Forensic and Genetic ResearchGenetic Associations and Epidemiology
Cited by 139
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Neuronal and glial 3D chromatin architecture informs the cellular etiology of brain disorders
Hu, B., Won, H., Mah, W., Park, R. B., Kassim, B., Spiess, K., Kozlenkov, A., Crowley, C. A., Pochareddy, S., The PsychENCODE Consortium, et al. (2021) · Nature Communications
Genomics and Chromatin DynamicsGenetic Associations and Epidemiology
Cited by 103
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The three-dimensional landscape of cortical chromatin accessibility in Alzheimer’s disease
Bendl, J., Hauberg, M. E., Girdhar, K., Im, E., Vicari, J. M., Rahman, S., Fernando, M. B., Townsley, K. G., Dong, P., Misir, R., et al. (2022) · Nature Neuroscience
Genomics and Chromatin DynamicsAlzheimer's disease research and treatments
Cited by 65
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DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype-phenotype prediction
Chandrashekar, P. B., Alatkar, S., Wang, J., Hoffman, G. E., He, C., Jin, T., Khullar, S., Bendl, J., Fullard, J. F., Roussos, P., et al. (2023) · Genome Medicine
Genetic Associations and EpidemiologyBioinformatics and Genomic Networks
Cited by 37
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Single-cell atlas of transcriptomic vulnerability across multiple neurodegenerative and neuropsychiatric diseases
Lee, D., Koutrouli, M., Masse, N. Y., Hoffman, G. E., Kinrot, S., Wang, X., N.M., P., Pjanic, M., Clarence, T., Tsetsos, F., et al. (2024) · Alzheimer s & Dementia
Single-cell and spatial transcriptomicsAlzheimer's disease research and treatments
Cited by 26
- Verified
Fast probabilistic whitening transformation for ultra-high dimensional genetic data
Hoffman, G. E., Dillard, C. P., Girdhar, K., & Roussos, P. (2026) · PLOS Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 0
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