Adam Christian Naj

The paper systematically adjudicates genetic evidence for Alzheimer's disease and related dementias, identifying 111 high-confidence loci through a tiered framework applied to large-scale genome-wide studies.

This paper performs a large-scale GWAS meta-analysis of neuropathologic lesions in Alzheimer's disease and related dementias, identifying both known and novel genetic associations.

The paper links PSMC3 expression to Alzheimer's Disease through neuroimaging and genetic analyses, showing its association with brain structure changes and dementia family history.

This study performs a multi-ancestry transcriptome-wide association study (TWAS) to identify shared and population-specific genetic effects in Alzheimer's disease using RNA-seq and genotype data from multiple cohorts.

The paper identifies sex-specific genetic loci associated with memory, executive functioning, and language performance in older adults through genome-wide meta-analyses.

The paper provides a whole-genome sequencing dataset of 36,361 ADSP participants, including variant annotations, phenotypes, and a linkage disequilibrium panel for Alzheimer's Disease research.

This study examines the association between APOE genotype and cognitive resilience in SuperAgers, finding lower APOE-ε4 and higher APOE-ε2 frequencies in non-Hispanic White SuperAgers compared to controls and Alzheimer's cases.

The paper investigates the association of common and rare variants with Alzheimer's Disease in 13,371 diverse individuals using whole-genome sequencing, identifying significant genetic loci and population-specific associations.

NIAGADS provides a national data repository for Alzheimer's Disease and related dementia genetics and genomics research, hosting genome and exome sequence data from over 209,000 samples.

This study identifies six genetic loci associated with progressive supranuclear palsy, including a novel locus, and links them to oligodendrocytic dysfunction and C4A expression.

This study uses whole-genome sequencing to identify new genetic loci and structural variants associated with progressive supranuclear palsy, including novel signals in APOE and H1/H2 haplotype region variants.

The paper models X chromosome gene expression in blood and brain cortex using elastic net and applies these models to sex-stratified AD GWAS data to identify ARMCX6 as a putative AD risk gene.

The paper uses BADGERS to identify risk factors and endophenotypes for late-onset Alzheimer's disease by analyzing biobank-wide data.

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 investigates how a haptoglobin structural variant modifies the effect of APOE alleles on Alzheimer's disease risk and age of onset in European-descent and African American populations.

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.

This study validates the association between mosaic loss of the Y chromosome and Alzheimer's Disease using prospective analyses and Mendelian Randomization across multiple cohorts.

This paper presents a strategy to jointly analyze 20,504 whole-exome sequencing samples from nine studies, generating high-quality variant calls and addressing batch effects from different capture kits.

This study performs a meta-analysis of GWAS to identify new genetic loci associated with all-cause and vascular dementia, revealing shared and distinct risk factors.

This study identifies blood-based biomarkers associated with Alzheimer's disease genetic risk variants in a large cohort of healthy adults, showing effects from early adulthood and sex-specific patterns.

POKEMON improves statistical power for detecting associations between rare missense variants and phenotypes by analyzing their spatial distribution on protein structures.

The paper introduces ADVP, a catalog of Alzheimer's disease genetic associations, integrating data from over 200 GWAS publications to provide harmonized and searchable genetic findings.

This study uses Mendelian randomization to assess causal relationships between 22 risk factors and the Alzheimer's phenome, finding education, blood pressure, cholesterol, smoking, and BMI have causal effects.

The paper introduces a statistical framework for cross-tissue transcriptome-wide association analysis, improving gene-trait association detection and identifying novel genes related to late-onset Alzheimer's disease.

The paper describes the quality control and integration of genotype calls from two pipelines for whole genome sequencing data in the Alzheimer’s Disease Sequencing Project, resulting in a high-quality consensus dataset.

This study performs a large GWAS of Alzheimer's disease, identifies four new risk loci, and highlights pathways involving immunity, lipid metabolism, and APP/Aβ processing.