medRxivGenetic & Genomic MedicinePreprint
Connecting genomic and proteomic signatures of amyloid burden in the brain
Raquel PuertaiD, Itziar de RojasiD, Pablo García‐GonzáleziD, Clàudia OlivéiD, Óscar Sotolongo‐GrauiD, Ainhoa García‐SáncheziD, Fernando García‐GutiérreziD, Laura MontrrealiD, Juan Pablo TartariiD, Ángela SanabriaiD, Vanesa PyteliD, Carmen LageiD, Inés QuintelaiD, Núria AguileraiD, Eloy Rodríguez‐RodrígueziD, Emilio Alarcón‐MartíniD, Adelina OrellanaiD, Pau PástoriD, Jordi Pérez‐TuriD, Gerard Piñol‐RipolliD, Adolfo López de Munian, José María García‐AlbercaiD, José Luís RoyoiD, Maria Jesus BullidoiD, Victoria ÁlvareziD, , Alzheimer’s Disease Neuroimaging Initiative
Abstract
BackgroundAlzheimers disease (AD) has a high heritable component characteristic of complex diseases, yet many of the 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 be helpful to understand the underlying biology of the disease. MethodsWe performed a meta-analysis of GWAS of CSF A{beta}42 and PET measures combining six independent cohorts (n=2,076). Due to the opposite effect direction of A{beta} phenotypes in CSF and PET measures, only genetic signals in the opposite direction were considered for analysis (n=376,599). Polygenic risk scores (PRS) were calculated and evaluated for AD status and amyloid endophenotypes. We then searched the CSF proteome signature of brain amyloidosis using SOMAscan proteomic data (Ace cohort, n=1,008) and connected it with GWAS results of loci modulating amyloidosis. Finally, we compared our results with a large meta-analysis using publicly available datasets in CSF (n=13,409) and PET (n=13,116). This combined approach enabled the identification of overlapping genes and proteins associated with amyloid burden and the assessment of their biological significance using enrichment analyses. ResultsAfter filtering the meta-GWAS, we observed genome-wide significance in the rs429358-APOE locus and nine suggestive hits were annotated. We replicated the APOE loci using the large CSF-PET meta-GWAS and identified multiple AD-associated genes as well as the novel GADL1 locus. Additionally, we found a significant association between the AD PRS and amyloid levels, whereas no significant association was found between any A{beta} PRS with AD risk. CSF SOMAscan analysis identified 1,387 FDR-significant proteins associated with CSF A{beta}42 levels. The overlap among GWAS loci and proteins associated with amyloid burden was very poor (n=35). The enrichment analysis of overlapping hits strongly suggested several signalling pathways connecting amyloidosis with the anchored component of the plasma membrane, synapse physiology and mental disorders that were replicated in the large CSF-PET meta-analysis. ConclusionsThe strategy of combining CSF and PET amyloid endophenotypes GWAS with CSF proteome analyses might be effective for identifying signals associated with the AD pathological process and elucidate causative molecular mechanisms behind the amyloid mobilization in AD.
- organism: human
- assay: GWAS summary statistics
- assay: proteomics
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 1
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