Linking genomic and proteomic signatures to brain amyloid burden: insights from GR@ACE/DEGESCO

Raquel Puerta(Universitat Internacional de Catalunya), Itziar de Rojas(Instituto de Salud Carlos III), Pablo García‐González(Instituto de Salud Carlos III), Clàudia Olivé(Universitat Internacional de Catalunya), Óscar Sotolongo‐Grau(Universitat Internacional de Catalunya), Ainhoa García‐Sánchez(Universitat Internacional de Catalunya), Fernando García‐Gutiérrez(Universitat Internacional de Catalunya), Laura Montrreal(Universitat Internacional de Catalunya), Juan Pablo Tartari(Universitat Internacional de Catalunya), Ángela Sanabria(Instituto de Salud Carlos III), Vanesa Pytel(Instituto de Salud Carlos III), Carmen Lage(Universidad de Cantabria), Inés Quintela(Universidade de Santiago de Compostela), Núria Aguilera(Universitat Internacional de Catalunya), Eloy Rodríguez‐Rodríguez(Universidad de Cantabria), Emilio Alarcón‐Martín(Universitat Internacional de Catalunya), Adelina Orellana(Instituto de Salud Carlos III), Pau Pástor(Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol), Jordi Pérez‐Tur(Instituto de Salud Carlos III), Gerard Piñol‐Ripoll(Hospital Universitari de Santa Maria), Adolfo López de Munain(University of the Basque Country), José María García‐Alberca(Instituto de Salud Carlos III), José Luís Royo(Universidad de Málaga), María J. Bullido(Instituto de Salud Carlos III), Victoria Álvarez(Hospital Universitario Central de Asturias), Luís Miguel Real(Instituto de Salud Carlos III), Arturo Corbatón Anchuelo(Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Dulcenombre Gómez‐Garré(Universidad Complutense de Madrid), Maria Teresa Martínez Larrad(Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas), Emilio Franco‐Macías(Instituto de Biomedicina de Sevilla), Pablo Mir(Instituto de Salud Carlos III), Miguel Ángel Medina(Instituto de Salud Carlos III), Raquel Sánchez‐Valle(Universitat de Barcelona), Oriol Dols‐Icardo(Universitat Autònoma de Barcelona), María Eugenia Sáez(Centro Andaluz de Biología del Desarrollo), Ángel Carracedo(Universidade de Santiago de Compostela), Lluís Tárraga(Instituto de Salud Carlos III), Montserrat Alegret(Instituto de Salud Carlos III), Sergi Valero(Instituto de Salud Carlos III), Marta Marquié(Instituto de Salud Carlos III), Merçé Boada(Instituto de Salud Carlos III), Pascual Sánchez‐Juan(Instituto de Salud Carlos III), José E Cavazos(The University of Texas at San Antonio Health Science Center), Alfredo Cabrera‐Socorro(Janssen (Belgium)), Amanda Cano(Instituto de Salud Carlos III), Agustı́n Ruiz(The University of Texas at San Antonio Health Science Center), for the Alzheimer’s Disease Neuroimaging Initiative
Functional & Integrative Genomics
March 25, 2025
Cited by 1Open Access
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Abstract

Alzheimer's disease (AD) is a complex disease with a strong genetic component, yet many genetic risk factors remain unknown. We combined genome-wide association studies (GWAS) on amyloid endophenotypes measured in cerebrospinal fluid (CSF) and positron emission tomography (PET) as surrogates of amyloid pathology, which may provide insights into the underlying biology of the disease. We performed a meta-GWAS of CSF Aβ42 and PET measures combining six independent cohorts (n = 2,076). Given the opposite beta direction of Aβ phenotypes in CSF and PET measures, only genetic signals showing opposite directions were considered for analysis (n = 376,599). We explored the amyloidosis signature in the CSF proteome using SOMAscan proteomics (ACE cohort, n = 1,008), connected it with GWAS loci modulating amyloidosis and performed an enrichment analysis of overlapping hits. Finally, we compared our results with a large meta-analysis using publicly available datasets in CSF (n = 13,409) and PET (n = 13,116). After filtering the meta-GWAS, we observed genome-wide significance in the rs429358-APOE locus and annotated nine suggestive hits. We replicated the APOE loci using the large CSF-PET meta-GWAS, identifying multiple AD-associated genes including the novel GADL1 locus. Additionally, we found 1,387 FDR-significant SOMAscan proteins associated with CSF Aβ42 levels. The overlap among GWAS loci and proteins associated with amyloid burden was minimal (n = 35). The enrichment analysis revealed mechanisms connecting amyloidosis with the plasma membrane's anchored component, synapse physiology and mental disorders that were replicated in the large CSF-PET meta-analysis. Combining CSF and PET amyloid GWAS with CSF proteome analyses may effectively elucidate causative molecular mechanisms behind amyloid mobilization and AD physiopathology.


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