Identifying Causal Variants Associated with Brain Atrophy Using Cross‐sectional and Longitudinal MR Imaging and Whole Genome Sequencing in Koreans

This study provides new insights into the genetic underpinnings of brain atrophy, emphasizing the influence of genetic variations on structural brain changes. By identifying significant loci associated with brain atrophy, these findings contribute to a deeper understanding of neurodegenerative processes. Future research may leverage these results to develop early diagnostic tools and targeted therapies for neurological disorders characterized by brain atrophy.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_104107
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

Identifying Causal Variants Associated with Brain Atrophy Using Cross‐sectional and Longitudinal MR Imaging and Whole Genome Sequencing in Koreans

Jungsoo Gim, Y T Kim, Kun Ho Lee, Lindsay AA. Farrer
Alzheimer s & Dementia
Genetic Associations and Epidemiology
article

Identifying Causal Variants Associated with Brain Atrophy Using Cross‐sectional and Longitudinal MR Imaging and Whole Genome Sequencing in Koreans

Jungsoo Gim, Y T Kim, Kun Ho Lee, Lindsay AA. Farrer
article en

Abstract

This study provides new insights into the genetic underpinnings of brain atrophy, emphasizing the influence of genetic variations on structural brain changes. By identifying significant loci associated with brain atrophy, these findings contribute to a deeper understanding of neurodegenerative processes. Future research may leverage these results to develop early diagnostic tools and targeted therapies for neurological disorders characterized by brain atrophy.

Alzheimer s & DementiaVol. 21(S2)
Boston University (US), Chosun University (KR), Korea Brain Research Institute (KR), Gwangju University (KR)
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.

Identifying Causal Variants Associated with Brain Atrophy Using Cross‐sectional and Longitudinal MR Imaging and Whole Genome Sequencing in Koreans — Jungsoo Gim, Y T Kim, et al. · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS