Fernandez, Maria

Abstract We present a comprehensive global analysis of genetic variants associated with autosomal-dominant Alzheimer’s disease (ADAD). A total of 550 variants in the APP, PSEN1 and PSEN2 genes were identified, of which 279 were classified as pathogenic or likely pathogenic based on American College of Medical Genetics and Genomics and the Association for Molecular Pathology criteria, utilizing data from the Dominantly Inherited Alzheimer Network (DIAN), literature and public databases. Symptomatic age at onset (AAO) data were estimated for 227 of these variants, allowing detailed characterization of their frequency, pathogenicity and AAO. Importantly, 226 variants met eligibility criteria for inclusion in disease-modifying clinical trials. Furthermore, we demonstrated the predictive value of mean variant AAO and parental AAO in predicting symptomatic AAO, validated against converters who became symptomatic during follow-up in the DIAN Observational Study. This dataset provides critical insights into the global landscape of ADAD and reveals the genetic and AAO heterogeneity of ADAD variants while refining variant trial eligibility criteria.

Abstract Brain metabolism perturbation can contribute to traits and diseases. We conducted the first large-scale CSF and brain genome-wide association studies, which identified 219 independent associations (59.8% novel) for 144 CSF metabolites and 36 independent associations (55.6% novel) for 34 brain metabolites. Most of the novel signals (97.7% and 70.0% in CSF and brain) were tissue specific. We also integrated MWAS-FUSION approaches with Mendelian Randomization and colocalization to identify causal metabolites for 27 brain and human wellness phenotypes and identified eight metabolites to be causal for eight traits (11 relationships). Low mannose level was causal to bipolar disorder and as dietary supplement it may provide therapeutic benefits. Low galactosylglycerol level was found causal to Parkinson’s Disease (PD). Our study expanded the knowledge of MQTL in central nervous system, provided insights into human wellness, and successfully demonstrates the utility of combined statistical approaches to inform interventions.

AbstractBackgroundMore than 300 variants in the presenilin 1 (PSEN1), presenilin 2 (PSEN2), or amyloid precursor protein (APP) genes have been reported to cause Dominantly Inherited Alzheimer Disease (DIAD). However, most of these reports come from non‐Hispanic whites and the full extent of DIAD remains understudied in Latin American (LatAm) countries. Here we describe five AD affected families from LatAm carrying novel DIAD variants.MethodsFive novel variants in the presenilin1 (PSEN1) gene were identified in Brazilian (p.Val103_Ser104delinsGly, p.Lys395Ile, p.Pro264Se and p.Ala275Thr) and Mexican families (p.Ile414Thr). To assign the likelihood of pathogenicity among these variants of unknown significance, we report pedigree information, frequency in control populations, in silico predictions, and cell‐based models.ResultThe mean age at onset in newly identified families was 43.5 years (range 36‐54). The novel variants were absent from gnomAD genome and exome databases. Two PSEN1 variants (p.Val103_Ser104delinsGly and p.Lys395Ile) showed segregation with the disease status; segregation studies were not possible in the other three families. Additionally, PSEN1 p.Val103_Ser104delinsGly, p.Lys395Ile, p.Pro264Se, p.Ala275Thr produced Aβ profiles consistent with known AD pathogenic mutations (i.e. increased extracellular Aβ42/40); thus, we consider them as likely pathogenic. PSEN1 p.Ile414Thr did not alter Aβ in a manner consistent with a known pathogenic mutation; therefore, PSEN1 p.Ile414Thr likely represents an AD risk factor or benign polymorphism.ConclusionOur study provides further insights into the genetics of AD in LatAm by identifying novel DIAD pathogenic variants in Brazil and Mexico, two countries with distinct genetic admixtures. Expanding the families eligible to participate in observational and clinical trials of DIAD enhances the generalizability of diagnosis and treatment approaches.