Abstract
Late-onset Alzheimer’s disease (LOAD) is known to have a complex, oligogenic etiology, with considerable genetic heterogeneity. We investigated the influence of genetic interactions between genes in the Alzheimer’s disease (AD) pathway on amyloid-beta (Aβ) deposition as measured by PiB or AV-45 ligand positron emission tomography (PET) to aid in understanding LOAD’s genetic etiology. Subsets of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohorts were used for discovery and for two independent validation analyses. A significant interaction between RYR3 and CACNA1C was confirmed in all three of the independent ADNI datasets. Both genes encode calcium channels expressed in the brain. The results shown here support previous animal studies implicating interactions between these calcium channels in amyloidogenesis and suggest that the pathological cascade of this disease may be modified by interactions in the amyloid–calcium axis. Future work focusing on the mechanisms of such relationships may inform targets for clinical intervention.
Similar content being viewed by others
References
Albert MS, DeKosky ST, Dickson D et al (2011) The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7:270–279. doi:10.1016/j.jalz.2011.03.008
Anekonda TS, Quinn JF, Harris C et al (2011) L-type voltage-gated calcium channel blockade with isradipine as a therapeutic strategy for Alzheimer’s disease. Neurobiol Dis 41:62–70. doi:10.1016/j.nbd.2010.08.020
Berridge MJ (2010) Calcium hypothesis of Alzheimer’s disease. Pflügers Archiv 459:441–449. doi:10.1007/s00424-009-0736-1
Bhat S, Dao DT, Terrillion CE et al (2012) CACNA1C (Ca(v)1.2) in the pathophysiology of psychiatric disease. Prog Neurobiol 99:1–14. doi:10.1016/j.pneurobio.2012.06.001
Buxbaum JD, Ruefli AA, Parker CA et al (1994) Calcium regulates processing of the Alzheimer amyloid protein precursor in a protein kinase C-independent manner. Proc Natl Acad Sci USA 91:4489–4493
Cannell MB, Soeller C (1997) Numerical analysis of ryanodine receptor activation by L-type channel activity in the cardiac muscle diad. Biophys J 73:112–122. doi:10.1016/S0006-3495(97)78052-4
Chavis P, Fagni L, Lansman JB, Bockaert J (1996) Functional coupling between ryanodine receptors and L-type calcium channels in neurons. Nature 382:719–722. doi:10.1038/382719a0
Clark CM, Schneider JA, Bedell BJ et al (2011) Use of florbetapir-PET for imaging beta-amyloid pathology. JAMA 305:275–283. doi:10.1001/jama.2010.2008
Fischl B (2012) FreeSurfer. NeuroImage 62:774–781. doi:10.1016/j.neuroimage.2012.01.021
Fruen BR, Mickelson JR, Louis CF (1997) Dantrolene inhibition of sarcoplasmic reticulum Ca2+ release by direct and specific action at skeletal muscle ryanodine receptors. J Biol Chem 272:26965–26971
Giannini G (1995) The ryanodine receptor/calcium channel genes are widely and differentially expressed in murine brain and peripheral tissues. J Cell Biol 128:893–904. doi:10.1083/jcb.128.5.893
Greene CS, Penrod NM, Williams SM, Moore JH (2009) Failure to replicate a genetic association may provide important clues about genetic architecture. PLoS ONE 4:e5639. doi:10.1371/journal.pone.0005639
Herold C, Steffens M, Brockschmidt FF et al (2009) INTERSNP: genome-wide interaction analysis guided by a priori information. Bioinformatics 25:3275–3281. doi:10.1093/bioinformatics/btp596
Ikonomovic MD, Klunk WE, Abrahamson EE et al (2008) Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer’s disease. Brain 131:1630–1645. doi:10.1093/brain/awn016
Itkin A, Dupres V, Dufrêne YF et al (2011) Calcium ions promote formation of amyloid β-peptide (1-40) oligomers causally implicated in neuronal toxicity of Alzheimer’s disease. PLoS ONE 6:e18250. doi:10.1371/journal.pone.0018250
Jack CR, Knopman DS, Jagust WJ et al (2013) Tracking pathophysiological processes in Alzheimer’s disease: an updated hypothetical model of dynamic biomarkers. Lancet neurol 12:207–216. doi:10.1016/S1474-4422(12)70291-0
Jagust WJ, Landau SM, Shaw LM et al (2009) Relationships between biomarkers in aging and dementia. Neurology 73:1193–1199. doi:10.1212/WNL.0b013e3181bc010c
Jagust WJ, Bandy D, Chen K et al (2010) The Alzheimer’s disease neuroimaging initiative positron emission tomography core. Alzheimers Dement 6:221–229. doi:10.1016/j.jalz.2010.03.003
Kanehisa M, Goto S (2000) KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res 28:27–30
Kanehisa M, Goto S, Sato Y et al (2012) KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res 40:D109–D114. doi:10.1093/nar/gkr988
Kelliher M, Fastbom J, Cowburn RF et al (1999) Alterations in the ryanodine receptor calcium release channel correlate with Alzheimer’s disease neurofibrillary and beta-amyloid pathologies. Neuroscience 92:499–513
Kim S, Yun H-M, Baik J-H et al (2007) Functional interaction of neuronal Cav1.3 L-type calcium channel with ryanodine receptor type 2 in the rat hippocampus. J biol Chem 282:32877–32889. doi:10.1074/jbc.M701418200
Landau SM, Jagust WJ (2012) Florbetapir processing methods. http://adni.loni.ucla.edu/methods/pet-analysis/
Ma L, Brautbar A, Boerwinkle E et al (2012) Knowledge-driven analysis identifies a gene–gene interaction affecting high-density lipoprotein cholesterol levels in multi-ethnic populations. PLoS Genet 8:e1002714. doi:10.1371/journal.pgen.1002714
Ma L, Clark AG, Keinan A (2013) Gene-based testing of interactions in association studies of quantitative traits. PLoS Genet 9:e1003321. doi:10.1371/journal.pgen.1003321
Mateo I, Vázquez-Higuera JL, Sánchez-Juan P et al (2009) Epistasis between tau phosphorylation regulating genes (CDK5R1 and GSK-3beta) and Alzheimer’s disease risk. Acta Neurol Scand 120:130–133. doi:10.1111/j.1600-0404.2008.01128.x
Mattson M, Cheng B, Davis D et al (1992) beta-Amyloid peptides destabilize calcium homeostasis and render human cortical neurons vulnerable to excitotoxicity. J Neurosci 12:376–389
Naj AC, Jun G, Beecham GW et al (2011) Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer’s disease. Nat Genet 43:436–441. doi:10.1038/ng.801
Neale B, Sham P (2004) The future of association studies: gene-based analysis and replication. Am J Hum Genet 75:353–362. doi:10.1086/423901
Ouardouz M, Nikolaeva MA, Coderre E et al (2003) Depolarization-induced Ca2+ release in ischemic spinal cord white matter involves L-type Ca2+ channel activation of ryanodine receptors. Neuron 40:53–63. doi:10.1016/j.neuron.2003.08.016
Oulès B, Del Prete D, Greco B et al (2012) Ryanodine receptor blockade reduces amyloid-β load and memory impairments in Tg2576 mouse model of Alzheimer disease. J Neurosci 32:11820–11834. doi:10.1523/JNEUROSCI.0875-12.2012
Pattin KA, Moore JH (2008) Exploiting the proteome to improve the genome-wide genetic analysis of epistasis in common human diseases. Hum Genet 124:19–29. doi:10.1007/s00439-008-0522-8
Perez-Reyes E, Wei XY, Castellano A, Birnbaumer L (1990) Molecular diversity of L-type calcium channels. Evidence for alternative splicing of the transcripts of three non-allelic genes. J Biol Chem 265:20430–20436
Pierrot N, Santos SF, Feyt C et al (2006) Calcium-mediated transient phosphorylation of tau and amyloid precursor protein followed by intraneuronal amyloid-beta accumulation. J Biol Chem 281:39907–39914. doi:10.1074/jbc.M606015200
Potkin SG, Turner JA, Guffanti G et al (2009) Genome-wide strategies for discovering genetic influences on cognition and cognitive disorders: methodological considerations. Cogn Neuropsychiatry 14:391–418. doi:10.1080/13546800903059829 Pii: 913383746
Purcell S, Neale B, Todd-Brown K et al (2007) PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 81:559–575. doi:10.1086/519795
Querfurth HW, Selkoe DJ (1994) Calcium ionophore increases amyloid beta peptide production by cultured cells. Biochemistry 33:4550–4561. doi:10.1021/bi00181a016
Rodríguez-Rodríguez E, Mateo I, Infante J et al (2009) Interaction between HMGCR and ABCA1 cholesterol-related genes modulates Alzheimer’s disease risk. Brain Res 1280:166–171. doi:10.1016/j.brainres.2009.05.019
Rodríguez-Rodríguez E, Vázquez-Higuera J, Sánchez-Juan P et al (2010) Epistasis between intracellular cholesterol trafficking-related genes (NPC1 and ABCA1) and Alzheimer’s disease risk. J Alzheimers Dis 21:619–625. doi:10.3233/JAD-2010-100432
Scragg JL, Fearon IM, Boyle JP et al (2005) Alzheimer’s amyloid peptides mediate hypoxic up-regulation of L-type Ca2+ channels. FASEB J 19:150–152. doi:10.1096/fj.04-2659fje
Sperling RA, Aisen PS, Beckett LA et al (2011) Toward defining the preclinical stages of Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7:280–292. doi:16/j.jalz.2011.03.003
Squecco R, Bencini C, Piperio C, Francini F (2004) L-type Ca2+ channel and ryanodine receptor cross-talk in frog skeletal muscle. J Physiol 555:137–152. doi:10.1113/jphysiol.2003.051730
Supnet C, Grant J, Kong H et al (2006) Amyloid-beta-(1-42) increases ryanodine receptor-3 expression and function in neurons of TgCRND8 mice. J Biol Chem 281:38440–38447. doi:10.1074/jbc.M606736200
Thambisetty M, An Y, Nalls M et al (2012) Effect of complement CR1 on brain amyloid burden during aging and its modification by APOE genotype. Biol Psychiatry. doi:10.1016/j.biopsych.2012.08.015
Ueda K, Shinohara S, Yagami T et al (1997) Amyloid beta protein potentiates Ca2+ influx through L-type voltage-sensitive Ca2+ channels: a possible involvement of free radicals. J Neurochem 68:265–271
Acknowledgments
This research was supported in part by the Vanderbilt/National Institute of Mental Health Neurogenomics Training grant (T32 MH65215), the Vanderbilt Medical Scientist Training Program (T32 GM07347), and the Recruitment for Genetic Aging Research (P30 AG036445). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We gratefully acknowledge Michael Sivley, Shashwath Meda, and Lan Jiang for programming and scripting help. Data collection and sharing for this project was funded by ADNI (National Institutes of Health Grant U01 AG024904). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Abbott; Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Amorfix Life Sciences Ltd; AstraZeneca; Bayer HealthCare; BioClinica, Inc; Biogen Idec Inc; Bristol-Myers Squibb Company; Eisai Inc; Elan Pharmaceuticals Inc; Eli Lilly and Company; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc; GE Healthcare; Innogenetics, N.V.; IXICO Ltd; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Medpace, Inc; Merck & Co, Inc; Meso Scale Diagnostics, LLC.; Novartis Pharmaceuticals Corporation; Pfizer Inc; Servier; Synarc Inc; and Takeda Pharmaceutical Company. The Canadian Institutes of Health Research provides funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation of the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for NeuroImaging at the University of California, Los Angeles. This research was also supported by NIH grants P30 AG010129 and K01 AG030514.
Conflict of interest
The authors have no actual or potential conflicts of interest including any financial, personal, or other relationships with other people or organizations that could inappropriately influence (bias) our work.
Ethical standards
The experiments detailed above comply with the current laws of the USA, where they were performed. Appropriate approval and procedures were used concerning human subjects.
Author information
Authors and Affiliations
Corresponding author
Additional information
For the Alzheimer’s Disease Neuroimaging Initiative. Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.ucla.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data, but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.ucla.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf
Electronic supplementary material
Below is the link to the electronic supplementary material.
439_2013_1354_MOESM1_ESM.pdf
Supplementary material 1 Table 1 43 genes from the KEGG AD pathway included in discovery dataset with chromosome number (PDF 319 kb)
Rights and permissions
About this article
Cite this article
Koran, M.E.I., Hohman, T.J. & Thornton-Wells, T.A. Genetic interactions found between calcium channel genes modulate amyloid load measured by positron emission tomography. Hum Genet 133, 85–93 (2014). https://doi.org/10.1007/s00439-013-1354-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00439-013-1354-8