Bendl, Jaroslav

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

Comprehensive functional genomic resource and integrative model for the human brain

Wang, D., Liu, S., Warrell, J., Won, H., Shi, X., Navarro, F. C. P., Clarke, D., Gu, M., Emani, P., Yang, Y. T., et al. (2018) · Science

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 965

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 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

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

Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes

Novikova, G., Kapoor, M., TCW, J., Abud, E. M., Efthymiou, A. G., Chen, S. X., Cheng, H., Fullard, J. F., Bendl, J., Liu, Y., et al. (2021) · Nature Communications

Alzheimer's disease research and treatmentsGenetic Associations and Epidemiology

Cited by 214

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

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

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

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

Integration of Alzheimer’s disease genetics and myeloid genomics reveals novel disease risk mechanisms

Novikova, G., Kapoor, M., TCW, J., Abud, E. M., Efthymiou, A. G., Cheng, H., Fullard, J. F., Bendl, J., Roussos, P., Poon, W. W., et al. (2019) · Alzheimer s & Dementia

Alzheimer's disease research and treatmentsGenetic Associations and Epidemiology

Cited by 27