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GWAS Study

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

Kim JP, Cho M, Kim C et al.

40419521 PubMed ID
GWAS Study Type
969 Participants
47 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

KJ
Kim JP
CM
Cho M
KC
Kim C
LH
Lee H
JB
Jang B
JS
Jung SH
KY
Kim Y
KI
Koh IG
KS
Kim S
SD
Shin D
LE
Lee EH
LJ
Lee JY
PY
Park Y
JH
Jang H
KB
Kim BH
HH
Ham H
KB
Kim B
KY
Kim Y
CA
Cho AH
RT
Raj T
KH
Kim HJ
ND
Na DL
SS
Seo SW
AJ
An JY
WH
Won HH
Chapter II

Abstract

Summary of the research findings

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.

314 Korean ancestry cases, 655 Korean ancestry controls

Chapter III

Study Statistics

Key metrics and study information

969
Total Participants
GWAS
Study Type
No
Replicated
East Asian
Ancestry
Republic of Korea, Japan
Recruitment Country
Chapter IV

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