Ali, N. M. H., S. J. R. A. Chawner, L. Kushan-Wells, C. E. Bearden, J. G. Mulle, R. M. Pollak, R. E. Gur, W. K. Chung, IMAGINE ID Consortium, M. J. Owen, and M. B. M. van den Bree. 2025. “Comparison of Autism Domains Across Thirty Rare Variant Genotypes.” EBioMedicine 112: 105521. https://doi.org/10.1016/j.ebiom.2024.105521.
Alward, B. A, V. A. Laud, C. J. Skalnik, R. A. York, S. A. Juntti, and R. D. Fernald. “Modular Genetic Control of Social Status in a Cichlid Fish.” Proceedings of the National Academy of Sciences USA 117 (45): 28167–74. https://doi.org/10.1073/pnas.2008925117.
Amar, D., N. R. Gay, D. Jimenez-Morales, P. M. Jean Beltran, M. E. Ramaker, A. N. Raja, B. Zhao, Y. Sun, S. Marwaha, D. A. Gaul, S. G. Hershman, A. Ferrasse, A. Xia, I. Lanza, F. M. Fernández, S. B. Montgomery, A. L. Hevener, E. A. Ashley, M. J. Walsh, L. M. Sparks, C. F. Burant, R. S. Rector, J. Thyfault, M. T. Wheeler, B. H. Goodpaster, P. M. Coen, S. Schenk, S. C. Bodine, M. E. Lindholm, and MoTrPAC Study Group. 2024. “The Mitochondrial Multi-omic Response to Exercise Training Across Rat Tissues.” Cell Metabolism 36 (6): 1411–1429. https://doi.org/10.1016/j.cmet.2023.12.021.
Andersen, R. E., M. Talukdar, T. Sakamoto, J. H. T. Song, X. Qian, S. Lee, R. N. Delgado, S. Zhao, G. Eichfeld, J. Harms, and C. A. Walsh. 2025. “Autism-associated Genes and Neighboring lncRNAs Converge on Key Gene Regulatory Networks.” bioRxiv. https://doi.org/10.1101/2025.01.20.634000.
Andreu-Bernabeu, Á., C. M. Díaz-Caneja, J. Costas, L. De Hoyos, C. Stella, X. Gurriarán, C. Alloza, L. Fañanás, J. Bobes, A. González-Pinto, B. Crespo-Facorro, L. Martorell, E. Vilella, G. Muntané, J. Nacher, M. Dolores Molto, E. J. Aguilar, M. Parellada, C. Arango, and González-Peñas, J. 2022. “Polygenic Contribution to the Relationship of Loneliness and Social Isolation with Schizophrenia.” Nature Communications 13 (51). https://doi.org/10.1038/s41467-021-27598-6.
Ashbrook, D. G., M. K. Mulligan, and R. W. Williams. 2018. “Post-genomic Behavioral Genetics: From Revolution to Routine.” Genes, Brain and Behavior 17 (3): e12441. https://doi.org/10.1111/gbb.12441.
Banerjee, G., S. F. Farmer, H. Hyare, Z. Jaunmuktane, S. Mead, N. S. Ryan, J. M. Schott, D. J. Werring, P. Rudge, and J. Collinge. 2024. “Iatrogenic Alzheimer’s Disease in Recipients of Cadaveric Pituitary-derived Growth Hormone.” Nature Medicine 30: 394–402. https://doi.org/10.1038/s41591-023-02729-2.
Bathe, O. F., and A. L. McGuire. 2009. “The Ethical Use of Existing Samples for Genome Research.” Genetics Medicine 11 (10): 712–5. http://doi.org/10.1097/GIM.0b013e3181b2e168.
Blumenthal, M. S., A. K. Hottes, C. Foran, and M. Lee. 2021. Technological Approaches to Human Performance Enhancement. RAND Corporation. https://www.rand.org/pubs/research_reports/RRA1482-2.html.
Campeau, A., R. H. Mills, T. Stevens, L.-A. Rossitto, M. Meehan, P. Dorrestein, R. Daly, T. T. Nguyen, D. J. Gonzalez, D. V. Jeste, and V. Hook, V. 2022. “Multi-omics of Human Plasma Reveals Molecular Features of Dysregulated Inflammation and Accelerated Aging in Schizophrenia.” Molecular Psychiatry 27: 1217–25. https://doi.org/10.1038/s41380-021-01339-z.
Castells-Nobau, A., J. Mayneris-Perxachs, and J. M. Fernández-Real. 2024. “Unlocking the Mind-Gut Connection: Impact of Human Microbiome on Cognition.” Cell Host & Microbe 32 (8): 1248–63. https://doi.org/10.1016/j.chom.2024.07.019.
Chen, T., J. Cai, X. Cheng, S. Cui, D. Zhang, D., and D. Gong. 2023. “Bio-inspired Flexible Versatile Textiles for Excellent Absorption-dominated Electromagnetic Interference Shielding, Thermal Management, and Strain Sensing.” Chemical Engineering Journal 477 (147116). https://doi.org/10.1016/j.cej.2023.147116.
Contrepois, K., S. Wu, K. J. Moneghetti, D. Hornburg, S. Ahadi, M.-S. Tsai, A. A. Metwally, E. Wei, B. LeeMcMullen, J. V. Quijada, S. Chen, J. W. Christle, M. Ellenberger, B. Balliu, S. Taylor, M. G. Durrant, D. A. Knowles, H. Choudhry, M. Ashland, A. Bahmani, B. Enslen, M. Amsallem, Y. Kobayashi, M. Avina, D. Perelman, S. M. Schüssler-Fiorenza Rose, W. Zhou, E. A. Ashley, S. B. Montgomery, H. Chaib, F. Haddad, and M. P. Snyder. 2020. “Molecular Choreography of Acute Exercise.” Cell 181 (5): 1112–30. https://doi.org/10.1016/j.cell.2020.04.043.
De Loof, A. 2016. “The Cell’s Self-generated ‘Electrome’: The Biophysical Essence of the Immaterial Dimension of Life?” Communicative & Integrative Biology 9 (5): e1197446. https://doi.org/10.1080/19420889.2016.1197446.
DiEuliis, D., and J. Giordano. 2017a. “Gene Editing Using CRISPR/Cas9: Implications for Dual-use and Biosecurity.” Protein and Cell 15: 1–3.
DiEuliis, D., and J. Giordano. 2017b. “Why Gene Editors Like CRISPR/Cas May Be a Game-Changer for Neuroweapons.” Health Security 15 (3): 296–302.
Fangma, Y., M. Liu, J. Liao, Z. Chen, and Y. Zheng. 2023. “Dissecting the Brain with Spatially Resolved Multiomics.” Journal of Pharmaceutical Analytics 13 (7): 694–710. https://doi.org/10.1016/j.jpha.2023.04.003.
Finn, E., X. Shen, D. Scheinost, M. D. Rosenberg, J. Huang, M. M. Chun, X. Papademetris, and R. T. Constable. 2015. “Functional Connectome Fingerprinting: Identifying Individuals Using Patterns of Brain Connectivity.” Nature Neuroscience 18: 1664–71. https://doi.org/10.1038/nn.4135
Fischbach, G., and C. Lord. 2010. “The Simons Simplex Collection: A Resource for Identification of Autism Genetic Risk Factors.” Neuron 68 (2): 192–5. https://doi.org/10.1016/j.neuron.2010.10.006.
Foster, J. A., and M. H. Trivedi. 2024. “The Gut-Brain Axis in Depression: Are Multi-omics Showing the Way?” Cell Reports Medicine 5 (9): 101741. https://doi.org/10.1016/j.xcrm.2024.101741.
Freedman, A. N., J. Clark, L. A. Eaves, K. Roell, A. Oran, L. Koval, J. Rager, H. P. Santos, Jr., K. Kuban, R. M. Joseph, J. Frazier, C. J. Marsit, A. A. Burt, T. M. O’Shea, and R. C. Fry. 2023. “A Multi-omic Approach Identifies an Autism Spectrum Disorder (ASD) Regulatory Complex of Functional Epimutations in Placentas from Children Born Preterm.” Autism Research 16 (5): 918–34. https://doi.org/10.1002/aur.2915.
Garrett-Bakelman, F. E., and M. Darshi. 2019. “The NASA Twins Study: A Multidimensional Analysis of a Year-long Human Spaceflight.” Science 364 (6436). https://doi.org/10.1126/science.aau8650.
Ghandi, M., F. W. Huang, J. Jané-Valbuena, G. V. Kryukov, C. C. Lo, E. R. McDonald, J. Barretina, E. T. Gelfand, C. M. Bielski, H. Li, K. Hu, A. Y. Andreev-Drakhlin, J. Kim, J. M., Hess, B. J. Haas, F. Aguet, B. A. Weir, M. V. Rothberg, B. R. Paolella, M. S. Lawrence, R. Akbani, Y. Lu, H. L. Tiv, P. C. Gokhale, A. de Weck, A. A., Mansour, C. Oh, J. Shih, K. Hadi, Y. Rosen, J. Bistline, K. Venkatesan, A. Reddy, D. Sonkin, M. Liu, J. Lehar, J. M. Korn, D. A. Porter, M. D. Jones, J. Golji, G. Caponigro, J. E. Taylor, C. M. Dunning, A. L. Creech, A. C. Warren, J. M. McFarland, M. Zamanighomi, A. Kauffmann, N. Stransky, M. Imielinski, Y. E. Maruvka, A. D. Cherniack, A. Tsherniak, F. Vazquez, J. D. Jaffe, A. A. Lane, D. M. Weinstock, C. M. Johannessen, M. P. Morrissey, F. Stegmeier, R. Schlegel, W. C. Hahn, G. Getz, G. B. Mills, J. S. Boehm, T. R. Golub, L. A. Garraway, and W. R. Sellers. 2019. “Next-generation Characterization of the Cancer Cell Line Encyclopedia.” Nature 569: 503–8. https://doi.org/10.1038/s41586-019-1186-3.
Giordano, J. 2012. “Neuroimaging in Psychiatry: Approaching the Puzzle as a Piece of the Bigger Picture(s).” AJOB-Neuroscience 3 (4): 54–6.
Granja, J. M., S. Klemm, L. M. McGinnis, A. S. Kathiria, A. Mezger, M. R. Corces, B. Parks, E. Gars, M. Liedtke, G. X. Y. Zheng, H. Y. Chang, R. Majeti, R., and W. J. Greenleaf. 2019. “Single-cell Multiomic Analysis Identifies Regulatory Programs in Mixed-Phenotype Acute Leukemia.” Nature Biotechnology 37 (12): 1458–65. https://doi.org/10.1038/s41587-019-0332-7.
Gupta, P., M. Galimberti, Y. Liu, S. Beck, A. Wingo, T. Wingo, K. Adhikari, H. R. Kranzler, M. B. Stein, J. Gelernter, D. F. Levey, and VA Million Veteran Program. 2024. “A Genome-wide Investigation into the Underlying Genetic Architecture of Personality Traits and Overlap with Psychopathology.” Nature Human Behaviour 8 (11): 2235–49. https://doi.org/10.1038/s41562-024-01951-3.
Halama, A., S. Zaghlool, G. Thareja, S. Kader,W. Al Muftah, M. Mook-Kanamori, H. Sarwath, Y. A. Mohamoud, N. Stephan, S. Ameling, M. P. Baković, J. Krumsiek, C., Prehn, J., Adamski, J. M. Schwenk, N. Friedrich, U. Völker, M. Wuhrer, G. Luac, S. N. Najafi-Shoushtari, J. A. Malek, J. Graumann, D. Mook-Kanamori, F. Schmidt, K. and Suhre. 2024. “A Roadmap to the Molecular Human Linking Multiomics with Population Traits and Diabetes Subtypes.” Nature Communications 15: 7111. https://doi.org/10.1038/s41467-024-51134-x
Hatcher, C., C. L. Relton, T. R. Gaunt, and T. G. Richardson. 2019. “Leveraging Brain Cortex-derived Molecular Data to Elucidate Epigenetic and Transcriptomic Drivers of Complex Traits and Disease.” Translational Psychiatry 9 (1): 105. https://doi.org/10.1038/s41398-019-0437-2.
Hong, Y., K. Song, Z. Zhang, Y. Deng, X. Zhang, J. Zhao, J. Jiang, Q. Zhang, C. Guo, and C. Peng. 2023. “The Spatiotemporal Dynamics of Spatially Variable Genes in Developing Mouse Brain Revealed by a Novel Computational Scheme.” Cell Death Discovery 9: 264. https://doi.org/10.1038/s41420-023-01569-w.
Hsiao, K., C. Noble, W. Pitman, N. Yadav, S. Kumar, G. R. Keele, A. Terceros, M. Kanke, T. Conniff, C. Cheleuitte-Nieves, R. Tolwani, P. Sethupathy, and P. Rajasethupathy. 2020. “A Thalamic Orphan Receptor Drives Variability in Short-Term Memory.” Cell 183 (2): 522–536. https://doi.org/10.1016/j.cell.2020.09.011.
Jansen, P. R., K. Watanabe, S. Stringer, N. Skene, J. Bryois, A. R. Hammerschlag, C. A. de Leeuw, J. S. Benjamins, A. B. Muñoz-Manchado, M. Nagel, J. E. Savage, H. Tiemeier, T. White, M. Agee, B. Alipanahi, A. Auton, R. K. Bell, K. Bryc, S. L. Elson, P. Fontanillas, N. A. Furlotte, D. A. Hinds, K. E. Huber, A. Kleinman, N. K. Litterman, J. C. McCreight, M. H. McIntyre, J. L. Mountain, E. Noblin, C. A. M. Northover, S. J. Pitts, J. F. Sathirapongsasuti, O. V. Sazonova, J. F. Shelton, S. Shringarpure, C. Tian, C. H. Wilson, J. Y. Tung, D. A. Hinds, V. Vacic, X. Wang, P. F. Sullivan, S. van der Sluis, T. J. C. Polderman, A. B. Smit, J. Hjerling-Leffler, E. J. W. Van Someren, D. Posthuma, and The 23 and Me Research Team. 2019. “Genome-wide Analysis of Insomnia in 1,331,010 Individuals Identifies New Risk Loci and Functional Pathways.” Nature Genetics 51 (3): 394–403. https://doi.org/10.1038/s41588-0180333-3.
Kania, E. B. 2020. “Minds at War: China’s Pursuit of Military Advantage Through Cognitive Science and Biotechnology.” Prism 8 (3): 82–101.
Kibinge, N. K., C. L. Relton, T. R. Gaunt, and T. G. Richardson. 2020. “Characterizing the Causal Pathway for Genetic Variants Associated with Neurological Phenotypes Using Human Brain-derived Proteome Data.” The American Journal Human Genetics 106 (6): 885–92. https://doi.org/10.1016/j.ajhg.2020.04.007.
Korologou-Linden, R., G. M. Leyden, C. L. Relton, R. C. Richmond, and T. G. Richardson. 2023. “Multi-omics Analyses of Cognitive Traits and Psychiatric Disorders Highlights Brain-dependent Mechanisms.” Human Molecular Genetics 32 (6): 885–96. https://doi.org/10.1093/hmg/ddab016.
Li, Z., J. Lai, P. Zhang, J. Ding, J. Jiang, C. Liu, H. Huang, H. Zhen, C. Xi, Y. Sun, L. Wu, L. Wang, X. Gao, Y. Li, Y. Fu, Z. Jie, S. Li, D. Zhang, Y. Chen, Y. Zhu, S. Lu, J. Lu, D. Wang, H. Zhou, X. Yuan, X. Li, L. Pang, M. Huang, H. Yang, W. Zhang, S. Brix, K. Kristiansen, X. Song, C. Nie, and S. Hu. 2022. “Multi-omics Analyses of Serum Metabolome, Gut Microbiome and Brain Function Reveal Dysregulated Microbiota-Gut-Brain Axis in Bipolar Depression.” Molecular Psychiatry 27 (10): 4123–35. https://doi.org/10.1038/s41380-022-01569-9.
Liang, X., Y. Fu, W.-t. Cao, Z. Wang, K. Zhang, Z. Jiang, X. Jia, C.-y. Liu, H.-r. Lin, H. Zhong, Z. Miao, W. Gou, M. Shuai, Y. Huang, S. Chen, B. Zhang, Y.-m. Chen, and J.-S. Zheng. 2022. “Gut Microbiome, Cognitive Function and Brain Structure: A Multi-Omics Integration Analysis.” Translational Neurodegeneration 11 (1): 49. https://doi.org/10.1186/s40035-022-00323-z.
Liu, L., A. Chen, Y. Li, J. Mulder, H. Heyn, and X. Xu. 2024. “Spatiotemporal Omics for Biology and Medicine. Cell 187 (17): 4488–4519. https://doi.org/10.1016/j.cell.2024.07.040.
McGuire, A. L., S. Joffe, B. A. Koenig, B. B. Biesecker, L. B. McCullough, J. S. Blumenthal-Barby, T. Caulfield, S. F. Terry, and R. C. Green. 2013. “Point-counterpoint. Ethics and Genomic Incidental Findings.” Science 340 (6136): 1047–8. https://doi.org/10.1126/science.1240156.
Mikaeloff, F., M. Gelpi, R. Benfeitas, A. D. Knudsen, B. Vestad, J. Høgh, J. R. Hov, T. Benfield, D. Murray, C. G. Giske, A. Mardinoglu, M. Trøseid, S. D. Nielsen, and U. Neogi, U. 2023. “Network-based Multi-omics Integration Reveals Metabolic At-risk Profile Within Treated HIV-Infection.” eLife 12: e82785. https://doi.org/10.7554/eLife.82785.
Mohajeri, M. H., G. La Fata, R. E. Steinert, and P. Weber. 2018. “Relationship Between the Gut Microbiome and Brain Function.” Nutrition Reviews 76 (7): 481–96. https://doi.org/10.1093/nutrit/nuy009.
Moore, A. J., E. D. Brodie III, and J. B. Wolf. 1997. “Interacting Phenotypes and the Evolutionary Process: I. Direct and Indirect Genetic Effects of Social Interactions.” Evolution 51 (5): 1352–62. https://doi.org/10.1111/j.1558-5646.1997.tb01458.x.
Mukherjee, A., S. Abraham, A. Singh, S. Balaji, and K. S. Mukunthan. 2024. “From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies.” Molecular Biotechnology. https://doi.org/10.1007/s12033-024-01133-6.
NASEM (National Academies of Sciences, Engineering, and Medicine). 2017. Human Genome Editing: Science, Ethics, and Governance. The National Academies Press. https://doi.org/10.17226/24623.
NASEM. 2018. Returning Individual Research Results to Participants: Guidance for a New Research Paradigm. The National Academies Press. https://doi.org/10.17226/25094.
NASEM. 2022. Cutting-Edge Scientific Capabilities for Biological Detection: Proceedings of a Workshop—in Brief. The National Academies Press. https://doi.org/10.17226/26553.
NASEM. 2023a. Interactions of Biotechnology with Human Physiology and Function Along the Gut-Brain Axis: Proceedings of a Workshop—in Brief. The National Academies Press. https://doi.org/10.17226/27014.
NASEM. 2023b. Biohybrid Materials and Technologies for Today and Tomorrow: Proceedings of a Workshop—in Brief. The National Academies Press. https://doi.org/10.17226/26910.
NASEM. 2023c. Considerations for Returning Individual Genomic Results from Population-Based Surveys: Focus on the National Health and Nutrition Examination Survey: Proceedings of a Workshop. The National Academies Press. https://doi.org/10.17226/27105.
NRC (National Research Council). 1988. Enhancing Human Performance: Issues, Theories, and Techniques. National Academy Press. https://doi.org/10.17226/1025.
NRC. 2004. Biotechnology Research in an Age of Terrorism. Washington, DC: The National Academies Press. https://doi.org/10.17226/10827.
NRC. 2012. Human Performance Modification: Review of Worldwide Research with a View to the Future. The National Academies Press. https://doi.org/10.17226/13480.
NRC. 2015. Measuring Human Capabilities: An Agenda for Basic Research on the Assessment of Individual and Group Performance Potential for Military Accession. The National Academies Press. https://doi.org/10.17226/19017.
Ottman, R. 1996. “Gene-Environment Interaction: Definitions and Study Designs.” Preventive Medicine 25 (6): 764–70. https://10.1006/pmed.1996.0117.
Pammi, M., N. Aghaeepour, and J. Neu. 2023. “Multiomics, Artificial Intelligence, and Precision Medicine in Perinatology.” Pediatric Research 93: 308–15. https://doi.org/10.1038/s41390-022-02181-x.
Parker, C. C., S. Gopalakrishnan, P. Carbonetto, N. M. Gonzales, E. Leung, Y. J. Park, E. Aryee, J. Davis, D. A. Blizard, C. L. Ackert-Bicknell, A. Lionikas, J. K. Pritchard, and A. A. Palmer, A. A. 2016. “Genome-wide Association Study of Behavioral, Physiological and Gene Expression Traits in Outbred CFW Mice.” Nature Genetics 48: 919–26. https://doi.org/10.1038/ng.3609.
Parker, L. S. 2022. “Ethical Challenges in Obtaining Informed Consent for Genetic/Genomic Research.” ELSIhub Collections. Center for ELSI Resources and Analysis. https://doi.org/10.25936/6ypm-tr18.
Pitsiladis, Y. P., M. Tanaka, N. Eynon, C. Bouchard, K. N. North, A. G. Williams, M. Collins, C. N. Moran, S. L. Britton, N. Fuku, E. A. Ashley, V. Klissouras, A. Lucia, I. I. Ahmetov, E. de Geus, M. Alsayrafi, and Athlome Project Consortium. 2016. “Athlome Project Consortium: A Concerted Effort to Discover Genomic and Other “Omic” Markers of Athletic Performance.” Physiological Genomics 48 (3): 183–90. https://doi.org/10.1152/physiolgenomics.00105.2015.
Rochester, J. R., A. L. Bolden, and C. F. Kwiatkowski. 2018. “Prenatal Exposure to Bisphenol A and Hyperactivity in Children: A Systematic Review and Meta-analysis.” Environment International 114: 343–56. https://doi.org/10.1016/j.envint.2017.12.028.
Rolland, T., F. Cliquet, R. J. L. Anney, C. Moreau, N. Traut, A. Mathieu, G. Huguet, J. Duan, V. Warrier, S. Portalier, L. Dry, C. S. Leblond, E. Douard, F. Amsellem, S. Malesys, A. Maruani, R. Toro, A. D. Børglum, J. Grove, S. Baron-Cohen, A. Packer, W. K. Chung, S. Jacquemont, R. Delorme, and T. Bourgeron. 2023. “Phenotypic Effects of Genetic Variants Associated with Autism.” Nature Medicine 29 (7): 1671–80. http://doi.org/10.1038/s41591-023-02408-2.
Sahin, M., and M. Sur. 2015. “Genes, Circuits, and Precision Therapies for Autism and Related Neurodevelopmental Disorders.” Science 350 (6263). https://doi.org/10.1126/science.aab3897.
Samardzija, A., X. Shen, W. Luo, A. Greene, S. Mehta, F. Tokoglu, J. Arora, S. Woods, R. Katz, G. Sanacora, V. H. Srihari, D. Scheinost, and R. T. Constable. 2024. “Testing the Tests: Using Connectome-Based Predictive Models to Reveal the Systems Standardized Tests and Clinical Symptoms are Reflecting.” bioRxiv. https://doi.org/10.1101/2024.10.24.619737.
Shao, S., J. Wu, and Q. Zhou, Q. 2021. “Developments and Challenges in Human Performance Enhancement Technology.” Medicine in Novel Technology and Devices 12: 100095. https://doi.org/10.1016/j.medntd.2021.100095.
Shen, X., E. S. Finn, D. Scheinost, M. D. Rosenberg, M. M. Chun, X. Papademetris, and R. T. Constable. 2017. “Using Connectome-based Predictive Modeling to Predict Individual Behavior from Brain Connectivity. Nature Protocols 12 (3): 506–18. https://doi.org/10.1038/nprot.2016.178.
Shi, L., J. Xu, R. Green, A. Wretlind, J. Homann, N. J. Buckley, B. M. Tijms, S. J. B. Vos, C. M. Lill, M. T. Kate, S. Engelborghs, K. Sleegers, G. B. Frisoni, A. Wallin, A. Lleó, J. Popp, P. Martinez-Lage, J. Streffer, F. Barkhof, H. Zetterberg, P. J. Visser, S. Lovestone, L. Bertram, A. J. Nevado-Holgado, P. Proitsi, and C. Legido-Quigley. 2023. “Multiomics Profiling of Human Plasma and Cerebrospinal Fluid Reveals ATN-derived Networks and Highlights Causal Links in Alzheimer’s Disease.” Alzheimer’s and Dementia 19 (8): 3350–64. https://doi.org/10.1002/alz.12961.
Skene, N. G., M. Roy, and S. G. Grant. 2017. “A Genomic Lifespan Program That Reorganises the Young Adult Brain Is Targeted in Schizophrenia.” eLife 6: e17915. https://doi.org/10.7554/eLife.17915.
Tadjdeh, Y. 2016. “Spider Silk Fibers Could Strengthen Soldier Garments.” National Defense 101 (754): 17. https://www.jstor.org/stable/27021517.
Tarabeux, J., N. Champagne, E. Brustein, F. F. Hamdan, J. Gauthier, M. Lapointe, C. Maios, A. Piton, D. Spiegelman, E. Henrion, B. Millet, J. L. Rapoport, L. E. Delisi, R. Joober, F. Fathalli, E. Fombonne, L. Mottron, N. Forget-Dubois, M. Boivin, J. L. Michaud, R. G. Lafrenière, P. Drapeau, M. O. Krebs, and G. A. Rouleau. 2010. “De Novo Truncating Mutation in Kinesin 17 Associated with Schizophrenia.” Biological Psychiatry 68 (7): 649–56. https://doi.org/10.1016/j.biopsych.2010.04.018.
Tamiz, A. P., W. J. Koroshetz, N. T. Dhruv, and D. A. Jett. 2022. “A Focus on the Neural Exposome.” Neuron 110 (8): 1286–89. https://doi.org/10.1016/j.neuron.2022.03.019.
Tooley, K. L. 2020. “Effects of the Human Gut Microbiota on Cognitive Performance, Brain Structure and Function: A Narrative Review.” Nutrients 12 (10): 3009. https://doi.org/10.3390/nu12103009.
Visscher, P. M., C. Gyngell, L. Yengo, and J. Savuleschu, 2025. “Heritable Polygenic Editing: The Next Frontier in Genomic Medicine?” Nature 637: 637–45. https://doi.org/10.1038/s41586-024-08300-4.
Wong, R. W. C., M. Setou, J. Teng, Y. Takei, and N. Hirokawa. 2002. “Overexpression of Motor Protein KIF17 Enhances Spatial and Working Memory in Transgenic Mice.” Proceedings of the National Academy of Sciences USA 99 (22): 14500–5. https://doi.org/10.1073/pnas.222371099.
Wu, Y., T. Qi, N. R. Wray, P. M. Visscher, J. Zeng, and J. Yang. 2023. “Joint Analysis of GWAS and Multi-omics QTL Summary Statistics Reveals a Large Fraction of GWAS Signals Shared with Molecular Phenotypes.” Cell Genomics 3 (8): 100344. https://doi.org/10.1016/j.xgen.2023.100344.
Xu, Y., S. C. Ritchie, Y. Liang, P. R. H. J. Timmers, M. Pietzner, L. Lannelongue, S. A. Lambert, U. A. Tahir, S. May-Wilson, C. Foguet, Å. Johansson, P. Surendran, A. P. Nath, E. Persyn, J. E. Peters, C. Oliver-Williams, S. Deng, B. Prins, J. Luan, L. Bomba, N. Soranzo, E. Di Angelantonio, N. Pirastu, E. S. Tai, R. M. van Dam, H. Parkinson, E. E. Davenport, D. S. Paul, C. Yau, R. E. Gerszten, A. Mälarstig, J. Danesh, X. Sim, C. Langenberg, J. F. Wilson, A. S. Butterworth, and M. Inouye. 2023. “An Atlas of Genetic Scores to Predict Multi-omic Traits.” Nature 616 (7955): 123–31. https://doi.org/10.1038/s41586-023-05844-9.
Xu, X., Z. Wang, Y. Su, K. Zhang, M. Li, Q. Zhang, S. Zhang, Y. Hao, Q. Ke, H. Hu, R. J. Young, S. Zhu, and J. Hu. 2024. “Biomimetic Design of Hydration-responsive Silk Fibers and Their Role in Actuators and Self-modulated Textiles.” Advanced Functional Materials 34 (33): 2401732. https://doi.org/10.1002/adfm.202401732.
Zhang, R., C. Zhang, C. Yu, J. Dong, and J. Hu. 2022. “Integration of Multi-omics Technologies for Crop Improvement: Status and Prospects.” Frontiers in Bioinformatics 2: 1027457. https://doi.org/10.3389/fbinf.2022.1027457.
Zhao, M., J. Ma, M. Li, W. Zhu, W. Zhou, L. Shen, H. Wu, N. Zhang, S. Wu, C. Fu, X. Li, K. Yang, T. Tang, R. Shen, L. He, C. Huai, and S. Qin. 2022. “Different Responses to Risperidone Treatment in Schizophrenia: A Multicenter Genome-wide Association and Whole Exome Sequencing Joint Study.” Translational Psychiatry 12 (1): 173. https://doi.org/10.1038/s41398-022-01942-w.
Zhou, X., P. Feliciano, C. Shu, T. Wang, I. Astrovskaya, J. B. Hall, J. U. Obiajulu, J. R. Wright, S. C. Murali, S. X. Xu, L. Brueggeman, T. R. Thomas, O. Marchenko, C. Fleisch, S. D. Barns, L. G. Snyder, B. Han, T. S. Chang, T. N. Turner, W. T. Harvey, A. Nishida, B. J. O’Roak, D. H. Geschwind, SPARK Consortium, J. J. Michaelson, N. Volfovsky, E. E. Eichler, Y. Shen, and W. K. Chung. 2022. “Integrating De Novo and Inherited Variants in 42,607 Autism Cases Identifies Mutations in New Moderate-Risk Genes.” Nature Genetics 54 (9): 1305–19. https://doi.org/10.1038/s41588-022-01148-2.