Investigation of 15 of the top candidate genes for late-onset Alzheimer’s disease

被引:0
|
作者
Olivia Belbin
Minerva M. Carrasquillo
Michael Crump
Oliver J. Culley
Talisha A. Hunter
Li Ma
Gina Bisceglio
Fanggeng Zou
Mariet Allen
Dennis W. Dickson
Neill R. Graff-Radford
Ronald C. Petersen
Kevin Morgan
Steven G. Younkin
机构
[1] Mayo Clinic College of Medicine,Department of Neuroscience
[2] University Hospital,Human Genetics, School of Molecular Medical Sciences
[3] Queen’s Medical Centre,MRC Human Genetics Unit
[4] The Institute of Genetics and Molecular Medicine,Department of Neurology
[5] Western General Hospital,Department of Neurology and the Mayo Alzheimer Disease Research Center
[6] Mayo Clinic College of Medicine,undefined
[7] Mayo Clinic College of Medicine,undefined
来源
Human Genetics | 2011年 / 129卷
关键词
Amyotrophic Lateral Sclerosis; Epistatic Interaction; Control Series; Progressive Supranuclear Palsy; Clinical Dementia Rating;
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摘要
The 12 genome-wide association studies (GWAS) published to-date for late-onset Alzheimer’s disease (LOAD) have identified over 40 candidate LOAD risk modifiers, in addition to apolipoprotein (APOE) ε4. A few of these novel LOAD candidate genes, namely BIN1, CLU, CR1, EXOC3L2 and PICALM, have shown consistent replication, and are thus credible LOAD susceptibility genes. To evaluate other promising LOAD candidate genes, we have added data from our large, case–control series (n = 5,043) to meta-analyses of all published follow-up case–control association studies for six LOAD candidate genes that have shown significant association across multiple studies (TNK1, GAB2, LOC651924, GWA_14q32.13, PGBD1 and GALP) and for an additional nine previously suggested candidate genes. Meta-analyses remained significant at three loci after addition of our data: GAB2 (OR = 0.78, p = 0.007), LOC651924 (OR = 0.91, p = 0.01) and TNK1 (OR = 0.92, p = 0.02). Breslow–Day tests revealed significant heterogeneity between studies for GAB2 (p < 0.0001) and GWA_14q32.13 (p = 0.006). We have also provided suggestive evidence that PGBD1 (p = 0.04) and EBF3 (p = 0.03) are associated with age-at-onset of LOAD. Finally, we tested for interactions between these 15 genes, APOE ε4 and the five novel LOAD genes BIN1, CLU, CR1, EXOC3L2 and PICALM but none were significant after correction for multiple testing. Overall, this large, independent follow-up study for 15 of the top LOAD candidate genes provides support for GAB2 and LOC651924 (6q24.1) as risk modifiers of LOAD and novel associations between PGBD1 and EBF3 with age-at-onset.
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页码:273 / 282
页数:9
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