Whole-genome sequencing analyses suggest novel genetic factors associated with Alzheimer’s disease and a cumulative effects model for risk liability

Abstract Genome-wide association studies (GWAS) on Alzheimer’s disease (AD) have predominantly focused on identifying common variants in Europeans. Here, we performed whole-genome sequencing (WGS) of 1,559 individuals from a Korean AD cohort to identify various genetic variants and biomarkers associ...

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Main Authors: Jun Pyo Kim, Minyoung Cho, Chanhee Kim, Hyunwoo Lee, Beomjin Jang, Sang-Hyuk Jung, Yujin Kim, In Gyeong Koh, Seoyeon Kim, Daeun Shin, Eun Hye Lee, Jong-Young Lee, YoungChan Park, Hyemin Jang, Bo-Hyun Kim, Hongki Ham, Beomsu Kim, A-Hyun Cho, Towfique Raj, Hee Jin Kim, Duk L. Na, Sang Won Seo, Joon-Yong An, Hong-Hee Won
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-59949-y
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author Jun Pyo Kim
Minyoung Cho
Chanhee Kim
Hyunwoo Lee
Beomjin Jang
Sang-Hyuk Jung
Yujin Kim
In Gyeong Koh
Seoyeon Kim
Daeun Shin
Eun Hye Lee
Jong-Young Lee
YoungChan Park
Hyemin Jang
Bo-Hyun Kim
Hongki Ham
Beomsu Kim
Yujin Kim
A-Hyun Cho
Towfique Raj
Hee Jin Kim
Duk L. Na
Sang Won Seo
Joon-Yong An
Hong-Hee Won
author_facet Jun Pyo Kim
Minyoung Cho
Chanhee Kim
Hyunwoo Lee
Beomjin Jang
Sang-Hyuk Jung
Yujin Kim
In Gyeong Koh
Seoyeon Kim
Daeun Shin
Eun Hye Lee
Jong-Young Lee
YoungChan Park
Hyemin Jang
Bo-Hyun Kim
Hongki Ham
Beomsu Kim
Yujin Kim
A-Hyun Cho
Towfique Raj
Hee Jin Kim
Duk L. Na
Sang Won Seo
Joon-Yong An
Hong-Hee Won
author_sort Jun Pyo Kim
collection DOAJ
description Abstract Genome-wide association studies (GWAS) on Alzheimer’s disease (AD) have predominantly focused on identifying common variants in Europeans. Here, we performed whole-genome sequencing (WGS) of 1,559 individuals from a Korean AD cohort to identify various genetic variants and biomarkers associated with AD. Our GWAS analysis identified a previously unreported locus for common variants (APCDD1) associated with AD. Our WGS analysis was extended to explore the less-characterized genetic factors contributing to AD risk. We identified rare noncoding variants located in cis-regulatory elements specific to excitatory neurons associated with cognitive impairment. Moreover, structural variation analysis showed that short tandem repeat expansion was associated with an increased risk of AD, and copy number variant at the HPSE2 locus showed borderline statistical significance. APOE ε4 carriers with high polygenic burden or structural variants exhibited severe cognitive impairment and increased amyloid beta levels, suggesting a cumulative effects model of AD risk.
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spelling doaj-art-c64295ade9b445258a919e47d8cd6a1c2025-08-20T03:22:07ZengNature PortfolioNature Communications2041-17232025-05-0116111810.1038/s41467-025-59949-yWhole-genome sequencing analyses suggest novel genetic factors associated with Alzheimer’s disease and a cumulative effects model for risk liabilityJun Pyo Kim0Minyoung Cho1Chanhee Kim2Hyunwoo Lee3Beomjin Jang4Sang-Hyuk Jung5Yujin Kim6In Gyeong Koh7Seoyeon Kim8Daeun Shin9Eun Hye Lee10Jong-Young Lee11YoungChan Park12Hyemin Jang13Bo-Hyun Kim14Hongki Ham15Beomsu Kim16Yujin Kim17A-Hyun Cho18Towfique Raj19Hee Jin Kim20Duk L. Na21Sang Won Seo22Joon-Yong An23Hong-Hee Won24Alzheimer’s Disease Convergence Research Center, Samsung Medical CenterDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan UniversityDepartment of Integrated Biomedical and Life Science, Korea UniversityDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan UniversityDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan UniversityDepartment of Medical Informatics, Kangwon National University College of MedicineDepartment of Integrated Biomedical and Life Science, Korea UniversityDepartment of Integrated Biomedical and Life Science, Korea UniversityDepartment of Integrated Biomedical and Life Science, Korea UniversityAlzheimer’s Disease Convergence Research Center, Samsung Medical CenterDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of MedicineOneomics Co., LtdDivision of Bio Bigdata, Department of Precision Medicine, Korea National Institution of HealthAlzheimer’s Disease Convergence Research Center, Samsung Medical CenterAlzheimer’s Disease Convergence Research Center, Samsung Medical CenterDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of MedicineDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan UniversityDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan UniversityDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan UniversityDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiAlzheimer’s Disease Convergence Research Center, Samsung Medical CenterAlzheimer’s Disease Convergence Research Center, Samsung Medical CenterAlzheimer’s Disease Convergence Research Center, Samsung Medical CenterDepartment of Integrated Biomedical and Life Science, Korea UniversityDepartment of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan UniversityAbstract Genome-wide association studies (GWAS) on Alzheimer’s disease (AD) have predominantly focused on identifying common variants in Europeans. Here, we performed whole-genome sequencing (WGS) of 1,559 individuals from a Korean AD cohort to identify various genetic variants and biomarkers associated with AD. Our GWAS analysis identified a previously unreported locus for common variants (APCDD1) associated with AD. Our WGS analysis was extended to explore the less-characterized genetic factors contributing to AD risk. We identified rare noncoding variants located in cis-regulatory elements specific to excitatory neurons associated with cognitive impairment. Moreover, structural variation analysis showed that short tandem repeat expansion was associated with an increased risk of AD, and copy number variant at the HPSE2 locus showed borderline statistical significance. APOE ε4 carriers with high polygenic burden or structural variants exhibited severe cognitive impairment and increased amyloid beta levels, suggesting a cumulative effects model of AD risk.https://doi.org/10.1038/s41467-025-59949-y
spellingShingle Jun Pyo Kim
Minyoung Cho
Chanhee Kim
Hyunwoo Lee
Beomjin Jang
Sang-Hyuk Jung
Yujin Kim
In Gyeong Koh
Seoyeon Kim
Daeun Shin
Eun Hye Lee
Jong-Young Lee
YoungChan Park
Hyemin Jang
Bo-Hyun Kim
Hongki Ham
Beomsu Kim
Yujin Kim
A-Hyun Cho
Towfique Raj
Hee Jin Kim
Duk L. Na
Sang Won Seo
Joon-Yong An
Hong-Hee Won
Whole-genome sequencing analyses suggest novel genetic factors associated with Alzheimer’s disease and a cumulative effects model for risk liability
Nature Communications
title Whole-genome sequencing analyses suggest novel genetic factors associated with Alzheimer’s disease and a cumulative effects model for risk liability
title_full Whole-genome sequencing analyses suggest novel genetic factors associated with Alzheimer’s disease and a cumulative effects model for risk liability
title_fullStr Whole-genome sequencing analyses suggest novel genetic factors associated with Alzheimer’s disease and a cumulative effects model for risk liability
title_full_unstemmed Whole-genome sequencing analyses suggest novel genetic factors associated with Alzheimer’s disease and a cumulative effects model for risk liability
title_short Whole-genome sequencing analyses suggest novel genetic factors associated with Alzheimer’s disease and a cumulative effects model for risk liability
title_sort whole genome sequencing analyses suggest novel genetic factors associated with alzheimer s disease and a cumulative effects model for risk liability
url https://doi.org/10.1038/s41467-025-59949-y
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