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Eric Barnett on Muck Rack

Eric Barnett

As seen in: Nature, Wiley Online Library, PLOS Medicine, Seeking Alpha, Mechanical Engineering Magazine, medRxiv, Psiquiatria.com, Biological Psychiatry
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Articles

A novel method to disentangle tightly linked risk and resilience genes for brain disorders: application to Alzheimer’s disease

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By Eric Barnett, Jonathan Hess, Jiahui Hou, Valentina Escott-Price, Christine Fennema-Notestine, William S. Kremen, Shu-Ju Lin, Chunling Zhang, Ditte Demontis, Anders D. Børglum, Chris Gaiteri, Jeremy Elman, Peter A Holmans, Stephen V. Faraone, Stephen J Glatt
| Nature Verified
Abstract Genetic risk factors for neuropsychiatric disorders are well documented. However, some individuals with high genetic risk remain unaffected, and the mechanisms underlying such resilience remain poorly understood. The presence of protective resilience factors that mitigate risk could help explain the disconnect between predicted risk and reality, particularly when genetic contributions are substantial but incompletely understood.
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Nuevos modelos genéticos mejoran la predicción del riesgo de TDAH

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By Eric Barnett, Yanli Zhang-James
| Psiquiatria.com
Me Gusta 2 2 Comentar  2 2 Autor/autores: Eric J. Barnett, Yanli Zhang-James, Stephen V. Faraone...(et.al) Fecha de publicación: 19/12/2025 Artículo | CONTENIDO PUB GENERAL+PSICÓLOGOS | Artículo revisado por nuestra redacción Los polygenic risk scores (PRS), que sintetizan el efecto acumulado de miles de variantes genéticas comunes, han mejorado la estimación del riesgo para el trastorno por déficit de atención e hiperactividad (ADHD).
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Appraisal of Gene Expression‐Based Classifiers for Neuropsychiatric Disorders: A Meta‐Regression

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By Ali Razavi, Brittany Arensman, Eric Barnett, Leo Lee
| Wiley Online Library Verified
1 Introduction Over the past two decades, researchers have explored biomarkers associated with neuropsychiatric disorders, aiming to determine their capacity for accurate and objective identification of these disorders. These biomarkers have been evaluated from many modalities including genetics, transcriptomics, proteomics, epigenetics, metabolomics, and brain structural and functional activity.
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