Natalie Sarah Ryan

This study evaluates how biomarker variability affects individualized amyloid time estimation in Alzheimer's disease, finding that inter-individual variability is the main source of error.

The paper examines the relationship between Aβ peptide profiles and age at symptom onset in ADAD, finding linear correlations that support a unified model of pathogenesis.

The paper analyzes exome data from 22,319 individuals to identify rare CNVs and 22q11.21 dosage as risk factors for Alzheimer's disease.

This study uses chemical imaging and deep learning to identify distinct amyloid plaque subtypes in Alzheimer's disease, revealing differences in Aβ composition and associations with disease progression.

The paper identifies high-priority missense variants in SORL1 associated with increased Alzheimer's Disease risk and earlier onset, suggesting clinical counseling considerations for carriers.

The paper identifies rare damaging variants in ATP8B4 and ABCA1 as novel risk factors for Alzheimer's Disease using exome sequencing data from 32,558 individuals.

The paper analyzes plasma A{beta} ratios in ADAD mutation carriers and non-carriers, finding significant differences between PSEN1 and APP carriers and associations with parental age at onset.

The paper constructs a single-cell atlas of the frontal cortex in early-onset monogenic Alzheimer's disease to identify cellular and molecular changes in disease mechanisms.