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SORL1 Variants Show Different Association with Early-Onset and Late-Onset Alzheimer's Disease Risk.

Authors :
Guiyou Liu
Jing-yi Sun
Meiling Xu
Xiao-yi Yang
Bao-liang Sun
Liu, Guiyou
Sun, Jing-Yi
Xu, Meiling
Yang, Xiao-Yi
Sun, Bao-Liang
Source :
Journal of Alzheimer's Disease. 2017, Vol. 58 Issue 4, p1121-1128. 8p.
Publication Year :
2017

Abstract

A recent study sequenced the full coding region of SORL1 in 1,255 early-onset Alzheimer's disease (EOAD) cases and 1,938 control individuals, and investigated the contribution of genetic variability in SORL1 to EOAD risk in a European cohort. This study identified six common variants and five low frequency variants in the SORL1 coding sequence. However, none of these 11 variants was significantly associated with EOAD risk after adjusting for multiple testing. We consider whether these 11 SORL1 variants identified in European EOAD contribute to late-onset Alzheimer's disease (LOAD) risk in individuals of European ancestry. Here, we investigated these 11 SORL1 variants identified in European EOAD and LOAD risk in individuals of European ancestry using a large-scale LOAD GWAS. Our results indicate that three genetic variants rs2070045, rs2276412, and rs17125548 as well as their tagged genetic variants contribute to LOAD risk in European population. We further investigate whether these variants could affect SORL1 expression using multiple expression quantitative trait loci (eQTLs) datasets. Our findings suggest that three genetic variants rs2070045, rs1699102, and rs3824968 could significantly regulate SORL1 expression in human brain tissues. We believe that our findings further provide important supplementary information about the involvement of the SORL1 variants in LOAD risk. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13872877
Volume :
58
Issue :
4
Database :
Academic Search Index
Journal :
Journal of Alzheimer's Disease
Publication Type :
Academic Journal
Accession number :
124551043
Full Text :
https://doi.org/10.3233/JAD-170005