Mangravite, Lara M.

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

Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap

Gandal, M. J., Haney, J. R., Parikshak, N. N., Leppa, V., Ramaswami, G., Hartl, C., Schork, A. J., Appadurai, V., Buil, A., Werge, T. M., et al. (2018) · Science

Genetic Associations and EpidemiologySchizophrenia research and treatment

Cited by 1,095

Gene expression elucidates functional impact of polygenic risk for schizophrenia

Fromer, M., Roussos, P., Sieberts, S. K., Johnson, J. S., Kavanagh, D. H., Perumal, T. M., Ruderfer, D. M., Oh, E. C., Topol, A., Shah, H. R., et al. (2016) · Nature Neuroscience

Schizophrenia research and treatmentGenetic Associations and Epidemiology

Cited by 1,091

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

A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research

De Jager, P. L., Ma, Y., McCabe, C., Xu, J., Vardarajan, B. N., Felsky, D., Klein, H.-U., White, C. C., Peters, M. A., Lodgson, B., et al. (2018) · Scientific Data

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 598

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

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

Human whole genome genotype and transcriptome data for Alzheimer’s and other neurodegenerative diseases

Allen, M., Carrasquillo, M. M., Funk, C., Heavner, B. D., Zou, F., Younkin, C. S., Burgess, J. D., Chai, H.-S., Crook, J., Eddy, J. A., et al. (2016) · Scientific Data

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 439

Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants

Pratap, A., Neto, E. C., Snyder, P., Stepnowsky, C., Elhadad, N., Grant, D., Mohebbi, M. H., Mooney, S., Suver, C., Wilbanks, J., et al. (2020) · npj Digital Medicine

Mobile Health and mHealth ApplicationsEthics in Clinical Research

Cited by 410

The All of Us Research Program: Data quality, utility, and diversity

Ramirez, A. H., Sulieman, L., Schlueter, D. J., Halvorson, A., Qian, J., Ratsimbazafy, F., Loperena, R., Mayo, K., Basford, M., Deflaux, N., et al. (2022) · Patterns

Electronic Health Records SystemsEthics in Clinical Research

Cited by 352

Comprehensive evaluation of the 5xFAD mouse model for preclinical testing applications: A MODEL-AD study.

Oblak, A. L., Lin, P. B., Kotredes, K. P., Pandey, R. S., Garceau, D., Williams, H. M., Uyar, A., O’Rourke, R., O’Rourke, S., Ingraham, C., et al. (2021) · Frontiers in Aging Neuroscience

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 325

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

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

A statin-dependent QTL for GATM expression is associated with statin-induced myopathy

Mangravite, L. M., Engelhardt, B. E., Medina, M. W., Smith, J. D., Brown, C. D., Chasman, D. I., Mecham, B. H., Howie, B., Shim, H., Naidoo, D., et al. (2013) · Nature

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 224

Metabolic Network Analysis Reveals Altered Bile Acid Synthesis and Metabolism in Alzheimer’s Disease

Baloni, P., Funk, C. C., Yan, J., Yurkovich, J. T., Kueider-Paisley, A., Nho, K., Heinken, A., Jia, W., Mahmoudiandehkordi, S., Louie, G., et al. (2020) · Cell Reports Medicine

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 211

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 AD Knowledge Portal: A Repository for Multi‐Omic Data on Alzheimer's Disease and Aging

Greenwood, A. K., Montgomery, K. S., Kauer, N., Woo, K. H., Leanza, Z. J., Poehlman, W. L., Gockley, J., Sieberts, S. K., Bradic, L., Logsdon, B. A., et al. (2020) · Current Protocols in Human Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 102

Detecting the impact of subject characteristics on machine learning-based diagnostic applications

Chaibub Neto, E., Pratap, A., Perumal, T. M., Tummalacherla, M., Snyder, P., Bot, B. M., Trister, A. D., Friend, S. H., Mangravite, L., & Omberg, L. (2019) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 83

Uncovering Disease Mechanisms in a Novel Mouse Model Expressing Humanized APOEε4 and Trem2*R47H

Kotredes, K. P., Oblak, A., Pandey, R. S., Lin, P. B.-C., Garceau, D., Williams, H., Uyar, A., O’Rourke, R., O’Rourke, S., Ingraham, C., et al. (2021) · Frontiers in Aging Neuroscience

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

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A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease

the MODEL-AD Consortium, Preuss, C., Pandey, R., Piazza, E., Fine, A., Uyar, A., Perumal, T., Garceau, D., Kotredes, K. P., Williams, H., et al. (2020) · Molecular Neurodegeneration

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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Genetic and multi‐omic risk assessment of Alzheimer's disease implicates core associated biological domains

Cary, G. A., Wiley, J. C., Gockley, J., Keegan, S., Amirtha Ganesh, S. S., Heath, L., Butler, R. R., Mangravite, L. M., Logsdon, B. A., Longo, F. M., et al. (2024) · Alzheimer's & Dementia: Translational Research & Clinical Interventions

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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Transmembrane Protein 55B Is a Novel Regulator of Cellular Cholesterol Metabolism

Medina, M. W., Bauzon, F., Naidoo, D., Theusch, E., Stevens, K., Schilde, J., Schubert, C., Mangravite, L. M., Rudel, L. L., Temel, R. E., et al. (2014) · Arteriosclerosis, Thrombosis and Vascular Biology

Cholesterol and Lipid MetabolismLipoproteins and Cardiovascular Health

Cited by 24

Genetic architecture of plasma Alzheimer disease biomarkers

Bradley, J., Gorijala, P., Schindler, S. E., Sung, Y. J., Ances, B., the Alzheimer’s Disease Neuroimaging Initiative, T. H. C. P., Ertekin-Taner, N., Younkin, S., Golde, T., Price, N., et al. (2023) · Human Molecular Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

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