Genetic Colocalization of Expression Quantitative Trait Loci (eQTL) Mapping and GWAS in a multiethnic brain bank: An Insight into ancestry‐specific Regulatory Architecture in Alzheimer's disease

This study highlights the importance of population-stratified eQTL and colocalization analysis in identifying genetic regulatory mechanisms underlying complex diseases such as AD. The high colocalization probabilities indicate shared causal variants, supporting the functional relevance of these genes in AD risk. Our findings suggest that EHD1, TMEM68, and DEFA10P may play an ancestry-specific role in AD. For example, EHD1 gene is involved in neuronal BACE1 transcytosis which is highly relevant for AD. Similarly, TMEM68 was colocalized with chromosome 8 in brain prefrontal cortex and hypothalamus in GTEx panel. These insights contribute to a better understanding of AD genetic architecture, with potential implications for precision medicine approaches across populations. Results can be visualized via our newly-developed BRAINscape (Figure 1) an interactive Shiny-based interface for seamless data visualization to facilitate the integrative analysis of multi-omics data.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70855_107199
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic Colocalization of Expression Quantitative Trait Loci (eQTL) Mapping and GWAS in a multiethnic brain bank: An Insight into ancestry‐specific Regulatory Architecture in Alzheimer's disease

Giuseppe Tosto, Basilio Cieza, Dolly Reyes‐Dumeyer, Vivek Ruhela et al.
Alzheimer s & Dementia
Genetic Associations and Epidemiology
article

Genetic Colocalization of Expression Quantitative Trait Loci (eQTL) Mapping and GWAS in a multiethnic brain bank: An Insight into ancestry‐specific Regulatory Architecture in Alzheimer's disease

Giuseppe Tosto, Basilio Cieza, Dolly Reyes‐Dumeyer, Vivek Ruhela, Richard Mayeux, Andrew F. Teich
article en

Abstract

This study highlights the importance of population-stratified eQTL and colocalization analysis in identifying genetic regulatory mechanisms underlying complex diseases such as AD. The high colocalization probabilities indicate shared causal variants, supporting the functional relevance of these genes in AD risk. Our findings suggest that EHD1, TMEM68, and DEFA10P may play an ancestry-specific role in AD. For example, EHD1 gene is involved in neuronal BACE1 transcytosis which is highly relevant for AD. Similarly, TMEM68 was colocalized with chromosome 8 in brain prefrontal cortex and hypothalamus in GTEx panel. These insights contribute to a better understanding of AD genetic architecture, with potential implications for precision medicine approaches across populations. Results can be visualized via our newly-developed BRAINscape (Figure 1) an interactive Shiny-based interface for seamless data visualization to facilitate the integrative analysis of multi-omics data.

Alzheimer s & DementiaVol. 21(S1)
NewYork–Presbyterian Hospital (US), Presbyterian Hospital (US), Columbia University (US)
Openalex Percentile: Top 25%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Genetic Colocalization of Expression Quantitative Trait Loci (eQTL) Mapping and GWAS in a multiethnic brain bank: An Insight into ancestry‐specific Regulatory Architecture in Alzheimer's disease — Giuseppe Tosto, Basilio Cieza, et al. · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS