TY - GEN
T1 - BIN1 rs744373 variant is significantly associated with alzheimer’s disease in caucasian but not east asian populations
AU - Han, Zhifa
AU - Wang, Tao
AU - Tian, Rui
AU - Zhou, Wenyang
AU - Wang, Pingping
AU - Ren, Peng
AU - Zong, Jian
AU - Hu, Yang
AU - Jin, Shuilin
AU - Jiang, Qinghua
N1 - Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.
PY - 2018
Y1 - 2018
N2 - Genome-wide Association studies (GWAS) and candidate gene studies have identified the association between BIN1 rs744373 variant and Alzheimer’s disease (AD) in Caucasian populations. Recently, a number of studies investigated the association between BIN1 rs744373 and AD in Asian populations. However, both positive and negative results have been identified. We consider that the relatively small sample sizes may lead to the lower statistical power. Here, we selected 71,168 samples (22,395 AD cases and 48,773 controls) from 19 articles containing 38 studies and reinvestigated this association using meta-analysis method. We observed a significant genetic heterogeneity and identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10−07, OR = 1.12, and 95% confidence interval (CI) 1.07–1.17). In subgroup analysis, we not only identified significant genetic heterogeneity in East Asian but also in Caucasian. The subgroup meta-analysis only revealed significant association between rs744373 polymorphism with AD in the Caucasian populations (P = 3.38 × 10−08, OR = 1.16, 95% CI 1.10–1.22), but not in the East Asian populations (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). The regression analysis suggested no significant publication bias. In summary, this large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD in Caucasian populations but not in the East Asian populations.
AB - Genome-wide Association studies (GWAS) and candidate gene studies have identified the association between BIN1 rs744373 variant and Alzheimer’s disease (AD) in Caucasian populations. Recently, a number of studies investigated the association between BIN1 rs744373 and AD in Asian populations. However, both positive and negative results have been identified. We consider that the relatively small sample sizes may lead to the lower statistical power. Here, we selected 71,168 samples (22,395 AD cases and 48,773 controls) from 19 articles containing 38 studies and reinvestigated this association using meta-analysis method. We observed a significant genetic heterogeneity and identified a significant association between rs744373 polymorphism with AD in pooled populations (P = 5 × 10−07, OR = 1.12, and 95% confidence interval (CI) 1.07–1.17). In subgroup analysis, we not only identified significant genetic heterogeneity in East Asian but also in Caucasian. The subgroup meta-analysis only revealed significant association between rs744373 polymorphism with AD in the Caucasian populations (P = 3.38 × 10−08, OR = 1.16, 95% CI 1.10–1.22), but not in the East Asian populations (P = 0.393, OR = 1.057, and 95% CI 0.95–1.15). The regression analysis suggested no significant publication bias. In summary, this large-scale meta-analysis highlighted the significant association between rs744373 polymorphism and AD in Caucasian populations but not in the East Asian populations.
KW - Alzheimer’s disease
KW - BIN1
KW - Caucasian
KW - East asian
KW - rs744373 polymorphism
UR - https://www.scopus.com/pages/publications/85051844331
U2 - 10.1007/978-3-319-95930-6_48
DO - 10.1007/978-3-319-95930-6_48
M3 - 会议稿件
AN - SCOPUS:85051844331
SN - 9783319959290
T3 - Lecture Notes in Computer Science
SP - 520
EP - 526
BT - Intelligent Computing - 14th International Conference, ICIC 2018, Proceedings
A2 - Huang, De-Shuang
A2 - Bevilacqua, Vitoantonio
A2 - Premaratne, Prashan
A2 - Gupta, Phalguni
PB - Springer Verlag
T2 - 14th International Conference on Intelligent Computing, ICIC 2018
Y2 - 15 August 2018 through 18 August 2018
ER -