TY - JOUR
T1 - Identification of rare variants in Alzheimer's disease
AU - Lord, Jenny
AU - Lu, Alexander J.
AU - Cruchaga, Carlos
N1 - Publisher Copyright:
© 2014 Lord, Lu and Cruchaga.
PY - 2014
Y1 - 2014
N2 - Much progress has been made in recent years in identifying genes involved in the risk of developing Alzheimer's disease (AD), the most common form of dementia. Yet despite the identification of over 20 disease associated loci, mainly through genome wide association studies (GWAS), a large proportion of the genetic component of the disorder remains unexplained. Recent evidence from the AD field, as with other complex diseases, suggests a large proportion of this "missing heritability" may be due to rare variants of moderate to large effect size, but the methodologies to detect such variants are still in their infancy. The latest studies in the field have been focused on the identification of coding variation associated with AD risk, through whole-exome or whole-genome sequencing. Such variants are expected to have larger effect sizes than GWAS loci, and are easier to functionally characterize, and develop cellular and animal models for. This review explores the issues involved in detecting rare variant associations in the context of AD, highlighting some successful approaches utilized to date.
AB - Much progress has been made in recent years in identifying genes involved in the risk of developing Alzheimer's disease (AD), the most common form of dementia. Yet despite the identification of over 20 disease associated loci, mainly through genome wide association studies (GWAS), a large proportion of the genetic component of the disorder remains unexplained. Recent evidence from the AD field, as with other complex diseases, suggests a large proportion of this "missing heritability" may be due to rare variants of moderate to large effect size, but the methodologies to detect such variants are still in their infancy. The latest studies in the field have been focused on the identification of coding variation associated with AD risk, through whole-exome or whole-genome sequencing. Such variants are expected to have larger effect sizes than GWAS loci, and are easier to functionally characterize, and develop cellular and animal models for. This review explores the issues involved in detecting rare variant associations in the context of AD, highlighting some successful approaches utilized to date.
KW - Alzheimer's disease
KW - Exome sequencing
KW - Genome sequencing
KW - Population differences
KW - Rare variants
KW - Replication
UR - http://www.scopus.com/inward/record.url?scp=84917694860&partnerID=8YFLogxK
U2 - 10.3389/fgene.2014.00369
DO - 10.3389/fgene.2014.00369
M3 - Review article
C2 - 25389433
AN - SCOPUS:84917694860
SN - 1664-8021
VL - 5
JO - Frontiers in Genetics
JF - Frontiers in Genetics
IS - OCT
M1 - 369
ER -