Hola Maylí,
Muchas gracias por tu reflexión; me parece muy acertada y además me encanta el tema porque es parte de mi investigación. Coincido en que ya se están dando pasos importantes en la integración entre genética, conectividad cerebral e IA, pero todavía estamos bastante más cerca de identificar patrones complejos de riesgo y asociación que de predecir de forma precisa comportamientos humanos complejos.
En ese sentido, trabajos como Uncovering the Hidden Risk Architecture of the Schizophrenias realizados en nuestro grupo ya mostraban que fenotipos psiquiátricos complejos no responden a relaciones simples, sino a arquitecturas genéticas distribuidas. Más recientemente, en Gene expression networks regulated by human personality hemos reforzado esa idea al conectar rasgos complejos con redes de expresión génica, no con factores aislados. Esto sugiere que, incluso cuando encontramos señal biológica relevante, traducirla en una predicción clara, explicable y generalizable sigue siendo un reto enorme.
Además, estudios recientes sobre la genética del conectoma estructural muestran correlaciones con rasgos cognitivos y neuropsiquiátricos, lo que confirma que existe una base biológica medible para estas asociaciones, aunque todavía lejos de cualquier lectura determinista del comportamiento humano. Por eso, creo que tu comentario apunta muy bien al núcleo del problema: el reto no es solo procesar grandes volúmenes de datos, sino distinguir qué patrones son realmente interpretables, robustos y biológicamente significativos.
Muchas gracias por tu reflexión; me parece muy acertada y además me encanta el tema porque es parte de mi investigación. Coincido en que ya se están dando pasos importantes en la integración entre genética, conectividad cerebral e IA, pero todavía estamos bastante más cerca de identificar patrones complejos de riesgo y asociación que de predecir de forma precisa comportamientos humanos complejos.
En ese sentido, trabajos como Uncovering the Hidden Risk Architecture of the Schizophrenias realizados en nuestro grupo ya mostraban que fenotipos psiquiátricos complejos no responden a relaciones simples, sino a arquitecturas genéticas distribuidas. Más recientemente, en Gene expression networks regulated by human personality hemos reforzado esa idea al conectar rasgos complejos con redes de expresión génica, no con factores aislados. Esto sugiere que, incluso cuando encontramos señal biológica relevante, traducirla en una predicción clara, explicable y generalizable sigue siendo un reto enorme.
Además, estudios recientes sobre la genética del conectoma estructural muestran correlaciones con rasgos cognitivos y neuropsiquiátricos, lo que confirma que existe una base biológica medible para estas asociaciones, aunque todavía lejos de cualquier lectura determinista del comportamiento humano. Por eso, creo que tu comentario apunta muy bien al núcleo del problema: el reto no es solo procesar grandes volúmenes de datos, sino distinguir qué patrones son realmente interpretables, robustos y biológicamente significativos.
Refrences
Arnedo J, et al. Uncovering the Hidden Risk
Architecture of the Schizophrenias: Confirmation in Three Independent
Genome-Wide Association Studies. American Journal of Psychiatry
(2015). https://pmc.ncbi.nlm.nih.gov/articles/PMC12884332/
Del Val C, et al. Gene expression networks regulated by human personality. Molecular Psychiatry (2024). https://www.nature.com/articles/s41380-024-02484-x
Wainberg M, et al. Genetic architecture of the structural connectome. Nature Communications (2024). https://www.nature.com/articles/s41467-024-46023-2
Del Val C, et al. Gene expression networks regulated by human personality. Molecular Psychiatry (2024). https://www.nature.com/articles/s41380-024-02484-x
Wainberg M, et al. Genetic architecture of the structural connectome. Nature Communications (2024). https://www.nature.com/articles/s41467-024-46023-2
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Hello Mylí,
Thank you very much for your reflection; I think it is very well stated and I love the topic because is part of my research interest. I agree that important progress is being made in integrating genetics, brain connectivity, and AI, but we are still much closer to identifying complex patterns of risk and association than to accurately predicting complex human behavior.
In that regard, pioneering work such as the one of our group, Uncovering the Hidden Risk Architecture of the Schizophrenias, already showed that complex psychiatric phenotypes do not follow simple linear relationships, but rather distributed genetic architectures. More recently, in "Gene expression networks regulated by human personality" , we have reinforced this view by linking complex traits to gene expression networks rather than isolated factors. This suggests that, even when biologically meaningful signal is present, translating it into clear, explainable, and generalizable prediction remains a major challenge.
In addition, recent studies on the genetics of the structural connectome have found correlations with cognitive and neuropsychiatric traits, confirming that there is a measurable biological basis for these associations, although still far from any deterministic reading of human behavior. For that reason, I think your comment captures the core issue very well: the challenge is not only to process massive amounts of data, but also to determine which patterns are truly interpretable, robust, and biologically meaningful.
In that regard, pioneering work such as the one of our group, Uncovering the Hidden Risk Architecture of the Schizophrenias, already showed that complex psychiatric phenotypes do not follow simple linear relationships, but rather distributed genetic architectures. More recently, in "Gene expression networks regulated by human personality" , we have reinforced this view by linking complex traits to gene expression networks rather than isolated factors. This suggests that, even when biologically meaningful signal is present, translating it into clear, explainable, and generalizable prediction remains a major challenge.
In addition, recent studies on the genetics of the structural connectome have found correlations with cognitive and neuropsychiatric traits, confirming that there is a measurable biological basis for these associations, although still far from any deterministic reading of human behavior. For that reason, I think your comment captures the core issue very well: the challenge is not only to process massive amounts of data, but also to determine which patterns are truly interpretable, robust, and biologically meaningful.
References
Arnedo J, et al. Uncovering the Hidden Risk
Architecture of the Schizophrenias: Confirmation in Three Independent
Genome-Wide Association Studies. American Journal of Psychiatry
(2015). https://pmc.ncbi.nlm.nih.gov/articles/PMC12884332/
Del Val C, et al. Gene expression networks regulated by human personality. Molecular Psychiatry (2024). https://www.nature.com/articles/s41380-024-02484-x
Wainberg M, et al. Genetic architecture of the structural connectome. Nature Communications (2024). https://www.nature.com/articles/s41467-024-46023-2
Del Val C, et al. Gene expression networks regulated by human personality. Molecular Psychiatry (2024). https://www.nature.com/articles/s41380-024-02484-x
Wainberg M, et al. Genetic architecture of the structural connectome. Nature Communications (2024). https://www.nature.com/articles/s41467-024-46023-2
