Wang, Daifeng

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

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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

The PsychENCODE project

Akbarian, S., Liu, C., Knowles, J. A., Vaccarino, F. M., Farnham, P. J., Crawford, G. E., Jaffe, A. E., Pinto, D., Dracheva, S., Geschwind, D. H., et al. (2015) · Nature Neuroscience

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 451

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

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

Altered patterning of trisomy 21 interneuron progenitors

Giffin-Rao, Y., Sheng, J., Strand, B., Xu, K., Huang, L., Medo, M., Risgaard, K. A., Dantinne, S., Mohan, S., Keshan, A., et al. (2020) · Stem Cell Reports

Neurogenesis and neuroplasticity mechanismsDown syndrome and intellectual disability research

Cited by 38

Altered patterning of trisomy 21 interneuron progenitors

Giffin-Rao, Y., Sheng, J., Strand, B., Xu, K., Huang, L., Medo, M., Risgaard, K. A., Dantinne, S., Mohan, S., Keshan, A., et al. (2022) · Stem Cell Reports

Neurogenesis and neuroplasticity mechanismsDown syndrome and intellectual disability research

Cited by 38

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

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Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer’s disease

Gupta, C., Xu, J., Jin, T., Khullar, S., Liu, X., Alatkar, S., Cheng, F., & Wang, D. (2022) · PLOS Computational Biology

Gene Regulatory Network AnalysisAlzheimer's disease research and treatments

Cited by 33

CMOT: cross-modality optimal transport for multimodal inference

Alatkar, S. A., & Wang, D. (2023) · Genome biology

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 24

Molecular and cellular processes disrupted in the early postnatal Down syndrome prefrontal cortex

Risgaard, R. D., Hanthanan Arachchilage, K., Knaack, S. A., Hosseini, M., Chen, R. J., Kumarage, P., Schmidt, D. K., Huang, X., Sheng, J., Wang, C. J., et al. (2026) · Science

Down syndrome and intellectual disability researchGenetics and Neurodevelopmental Disorders

Cited by 12