Cited by 6Alzheimer's disease research and treatmentsDementia and Cognitive Impairment ResearchGenetic Associations and Epidemiology

Genetic and expression analysis of COPI genes and Alzheimer’s disease susceptibility

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Yang, Yu, Wang, Xu, Ju, Weina, Sun, Li, Zhang, Haining·2019·Frontiers in Genetics

Abstract

Alzheimer’s disease (AD) is the most common neurodegenerative disease in the elderly and the leading cause of dementia in humans. Evidence shows that cellular trafficking and recycling machineries are associated with AD risk. A recent study found that the coat protein complex I (COPI)-dependent trafficking in vivo could significantly reduce amyloid plaques in the cortex and hippocampus of neurological in the AD mouse models, and identified 12 SNPs in COPI genes to be significantly associated with increased AD risk using 6,795 samples. Here, we used a large-scale GWAS dataset to investigate the potential association between the COPI genes and AD susceptibility by both SNP and gene-based tests. The results showed that only rs9898218 was associated with AD risk with P = 0.017. We further conducted an expression quantitative trait loci (eQTLs) analysis, and found that rs9898218 G allele was associated with increased COPZ2 expression in cerebellar cortex with P = 0.0184. Importantly, the eQTLs analysis in whole blood further indicated that 11 of these 12 genetic variants could significantly regulate the expression of COPI genes. Hence, these findings may contribute to understand the association between COPI genes and AD susceptibility.

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  • COPA is an AD-related gene that can reduce amyloid plaques in the cortex and hippocampus of AD mouse models.

    “Included were AD-related gene COPA, a gene that can reduce amyloid plaques in the cortex and hippocampus of the AD mouse models (58), and SUMO1, a useful AD marker whose expression level in plasma is tightly associated with AD pathology (59).”

    From Comprehensive characterization of the transcriptional landscape in Alzheimer’s disease (AD) brains (2025) · cites this paper as [58]

    The Introduction identifies COPA among COPI genes previously associated with AD risk and reports that COPI-dependent trafficking reduced amyloid plaques in the cortex and hippocampus of AD mouse models. It does not establish that COPA specifically caused that reduction. The paper’s own gene-based test also found no significant association between COPA and AD susceptibility. Page numbers were not provided in our copy. (LLM, conf=0.86)

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References 55 · Cited by 6

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  1. Bettayeb K. Hooli B. V. Parrado A. R. Randolph L. Varotsis D. Aryal S. (2016). Relevance of the COPI complex for Alzheimer’s disease progression in vivo. Proc. Natl. Acad. Sci. U.S.A. 113, 5418– 5423. 10.1073/pnas.1604176113 27114526 PMC4868486 · DOI
  2. Chang X. L. Tan L. Tan M. S. Wang H. F. Tan C. C. Zhang W. (2016). Association of HMGCR polymorphism with late-onset Alzheimer’s disease in Han Chinese. Oncotarget 7, 22746– 22751. 10.18632/oncotarget.8176 27009838 PMC5008397 · DOI
  3. Chen H. Wu G. Jiang Y. Feng R. Liao M. Zhang L. (2015). Analyzing 54,936 samples supports the association between CD2AP rs9349407 polymorphism and Alzheimer’s disease susceptibility. Mol. Neurobiol. 52, 1– 7. 10.1007/s12035-014-8834-2 25092125 · DOI
  4. Ciryam P. Kundra R. Freer R. Morimoto R. I. Dobson C. M. Vendruscolo M. (2016). A transcriptional signature of Alzheimer’s disease is associated with a metastable subproteome at risk for aggregation. Proc. Natl. Acad. Sci. U.S.A. 113, 4753– 4758. 10.1073/pnas.1516604113 27071083 PMC4855616 · DOI
  5. Cuyvers E. Sleegers K. (2016). Genetic variations underlying Alzheimer’s disease: evidence from genome-wide association studies and beyond. Lancet Neurol. 15, 857– 868. 10.1016/S1474-4422(16)00127-7 27302364 · DOI
  6. Guttula S. V. Allam A. Gumpeny R. S. (2012). Analyzing microarray data of Alzheimer’s using cluster analysis to identify the biomarker genes. Int. J. Alzheimers Dis. 2012, 649456. 10.1155/2012/649456 22482075 PMC3296213 · DOI
  7. Holliday E. G. Maguire J. M. Evans T. J. Koblar S. A. Jannes J. Sturm J. W. (2012). Common variants at 6p21.1 are associated with large artery atherosclerotic stroke. Nat. Genet. 44, 1147– 1151. 10.1038/ng.2397 22941190 PMC3651583 · DOI
  8. Hu Y. Cheng L. Zhang Y. Bai W. Zhou W. Wang T. (2017). Rs4878104 contributes to Alzheimer’s disease risk and regulates DAPK1 gene expression. Neurol. Sci. 38, 1255– 1262. 10.1007/s10072-017-2959-9 28429084 · DOI
  9. Jansen I. E. Savage J. E. Watanabe K. Bryois J. Williams D. M. Steinberg S. (2019). Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk. Nat. Genet. 51, 404– 413. 10.1038/s41588-018-0311-9 30617256 PMC6836675 · DOI · Paper page
  10. Jiang T. Hou J. K. Gao Q. Yu J. T. Zhou J. S. Zhao H. D. (2016). TREM2 p.H157Y variant and the risk of Alzheimer’s disease: a meta-analysis involving 14,510 subjects. Curr. Neurovasc. Res. 13, 318– 320. 10.2174/1567202613666160808095530 27501831 · DOI · Paper page
  11. Kong W. Mou X. Zhi X. Zhang X. Yang Y. (2014). Dynamic regulatory network reconstruction for Alzheimer’s disease based on matrix decomposition techniques. Comput. Math. Methods Med. 2014, 891761. 10.1155/2014/891761 25024739 PMC4082865 · DOI
  12. Lambert J. C. Heath S. Even G. Campion D. Sleegers K. Hiltunen M. (2009). Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nat. Genet. 41, 1094– 1099. 10.1038/ng.439 19734903 · DOI · Paper page
  13. Lambert J. C. Ibrahim-Verbaas C. A. Harold D. Naj A. C. Sims R. Bellenguez C. (2013). Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Nat. Genet. 45, 1452– 1458. 10.1038/ng.2802 24162737 PMC3896259 · DOI · Paper page
  14. Lang W. Wang J. Ma X. Zhang N. Li H. Cui P. (2019). Identification of shared genes between ischemic stroke and Parkinson’s disease using genome-wide association studies. Front. Neurol. 10, 297. 10.3389/fneur.2019.00297 30984102 PMC6447678 · DOI
  15. Li H. Chen L. Ma X. Cui P. Lang W. Hao J. (2018). Shared gene expression between multiple sclerosis and ischemic stroke. Front. Genet. 9, 598. 10.3389/fgene.2018.00598 30809253 PMC6379658 · DOI
  16. Li X. Shen N. Zhang S. Liu J. Jiang Q. Liao M. (2015). CD33 rs3865444 polymorphism contributes to Alzheimer’s disease susceptibility in Chinese, European, and North American populations. Mol. Neurobiol. 52, 414– 421. 10.1007/s12035-014-8880-9 25186233 · DOI
  17. Li Y. Song D. Jiang Y. Wang J. Feng R. Zhang L. (2016). CR1 rs3818361 polymorphism contributes to Alzheimer’s disease susceptibility in Chinese population. Mol. Neurobiol. 53, 4054– 4059. 10.1007/s12035-015-9343-7 26189835 · DOI
  18. Liu G. Jiang Q. (2016). Alzheimer’s disease CD33 rs3865444 variant does not contribute to cognitive performance. Proc. Natl. Acad. Sci. U.S.A. 113, E1589– E1590. 10.1073/pnas.1600852113 26933222 PMC4812757 · DOI
  19. Liu G. Jiang Y. Chen X. Zhang R. Ma G. Feng R. (2013a). Measles contributes to rheumatoid arthritis: evidence from pathway and network analyses of genome-wide association studies. PLoS One 8, e75951. 10.1371/journal.pone.0075951 24204584 PMC3799991 · DOI
  20. Liu G. Jiang Y. Wang P. Feng R. Jiang N. Chen X. (2012). Cell adhesion molecules contribute to Alzheimer’s disease: multiple pathway analyses of two genome-wide association studies. J. Neurochem. 120, 190– 198. 10.1111/j.1471-4159.2011.07547.x 22017384 · DOI
  21. Liu G. Jin S. Hu Y. Jiang Q. (2018a). Disease status affects the association between rs4813620 and the expression of Alzheimer’s disease susceptibility gene TRIB3. Proc. Natl. Acad. Sci. U.S.A. 115, E10519– E10520. 10.1073/pnas.1812975115 30355771 PMC6233097 · DOI
  22. Liu G. Li F. Zhang S. Jiang Y. Ma G. Shang H. (2014a). Analyzing large-scale samples confirms the association between the ABCA7 rs3764650 polymorphism and Alzheimer’s disease susceptibility. Mol. Neurobiol. 50, 757– 764. 10.1007/s12035-014-8670-4 24643655 · DOI
  23. Liu J. Z. Mcrae A. F. Nyholt D. R. Medland S. E. Wray N. R. Brown K. M. (2010). A versatile gene-based test for genome-wide association studies. Am. J. Hum. Genet. 87, 139– 145. 10.1016/j.ajhg.2010.06.009 20598278 PMC2896770 · DOI
  24. Liu G. Sun J. Y. Xu M. Yang X. Y. Sun B. L. (2017a). SORL1 variants show different association with early-onset and late-onset Alzheimer’s disease risk. J.Alzheimers Dis. 58, 1121– 1128. 10.3233/JAD-170005 28527213 · DOI
  25. Liu G. Wang H. Liu J. Li J. Li H. Ma G. (2014b). The CLU gene rs11136000 variant is significantly associated with Alzheimer’s disease in Caucasian and Asian populations. Neuromolecular Med. 16, 52– 60. 10.1007/s12017-013-8250-1 23892938 · DOI
  26. Liu S. L. Wang X. C. Tan M. S. Wang H. F. Zhang W. Wang Z. X. (2016). NME8 rs2718058 polymorphism with Alzheimer’s disease risk: a replication and meta-analysis. Oncotarget 7, 36014– 36020. 10.18632/oncotarget.9086 27144521 PMC5094979 · DOI
  27. Liu G. Wang T. Tian R. Hu Y. Han Z. Wang P. (2018b). Alzheimer’s disease risk variant rs2373115 regulates GAB2 and NARS2 expression in human brain tissues. J. Mol. Neurosci. 66, 37– 43. 10.1007/s12031-018-1144-9 30088171 · DOI · Paper page
  28. Liu W. Wu A. Pellegrini M. Wang X. (2015). Integrative analysis of human protein, function and disease networks. Sci. Rep. 5, 14344. 10.1038/srep14344 26399914 PMC4585831 · DOI
  29. Liu G. Yao L. Liu J. Jiang Y. Ma G. Chen Z. (2014c). Cardiovascular disease contributes to Alzheimer’s disease: evidence from large-scale genome-wide association studies. Neurobiol. Aging 35, 786– 792. 10.1016/j.neurobiolaging.2013.10.084 24231519 · DOI
  30. Liu G. Zhang S. Cai Z. Li Y. Cui L. Ma G. (2013c). BIN1 gene rs744373 polymorphism contributes to Alzheimer’s disease in East Asian population. Neurosci. Lett. 544, 47– 51. 10.1016/j.neulet.2013.02.075 23570733 · DOI
  31. Liu G. Zhang S. Cai Z. Ma G. Zhang L. Jiang Y. (2013d). PICALM gene rs3851179 polymorphism contributes to Alzheimer’s disease in an Asian population. Neuromolecular Med. 15, 384– 388. 10.1007/s12017-013-8225-2 23572399 · DOI
  32. Liu G. Zhang L. Feng R. Liao M. Jiang Y. Chen Z. (2013b). Lack of association between PICALM rs3851179 polymorphism and Alzheimer’s disease in Chinese population and APOEepsilon4-negative subgroup. Neurobiol. Aging 341310, e1319– e1310. 10.1016/j.neurobiolaging.2012.08.015 23040034 · DOI
  33. Liu G. Zhang F. Jiang Y. Hu Y. Gong Z. Liu S. (2017d). Integrating genome-wide association studies and gene expression data highlights dysregulated multiple sclerosis risk pathways. Mult. Scler. 23, 205– 212. 10.1177/1352458516649038 27207450 · DOI
  34. Liu G. Zhang F. Hu Y. Jiang Y. Gong Z. Liu S. (2017c). Genetic variants and multiple sclerosis risk gene SLC9A9 expression in distinct human brain regions. Mol. Neurobiol. 54, 6820– 6826. 10.1007/s12035-016-0208-5 27766536 · DOI
  35. Liu G. Zhang Y. Wang L. Xu J. Chen X. Bao Y. (2018c). Alzheimer’s disease rs11767557 variant regulates EPHA1 gene expression specifically in human whole blood. J. Alzheimers Dis. 61, 1077– 1088. 10.3233/JAD-170468 29332039 · DOI
  36. Liu G. Zhao Y. Jin S. Hu Y. Wang T. Tian R. (2018d). Circulating vitamin E levels and Alzheimer’s disease: a Mendelian randomization study. Neurobiol. Aging 72, 189 e181– 189 e189. 10.1016/j.neurobiolaging.2018.08.008 30174138 · DOI
  37. Ma J. Zhang W. Tan L. Wang H. F. Wan Y. Sun F. R. (2016). MS4A6A genotypes are associated with the atrophy rates of Alzheimer’s disease related brain structures. Oncotarget 7, 58779– 58788. 10.18632/oncotarget.9563 27244883 PMC5312275 · DOI
  38. Moskvina V. O’dushlaine C. Purcell S. Craddock N. Holmans P. O’donovan M. C. (2011). Evaluation of an approximation method for assessment of overall significance of multiple-dependent tests in a genomewide association study. Genet. Epidemiol. 35, 861– 866. 10.1002/gepi.20636 22006681 PMC3268180 · DOI · Paper page
  39. Shen N. Chen B. Jiang Y. Feng R. Liao M. Zhang L. (2015). An updated analysis with 85,939 samples confirms the association between CR1 rs6656401 polymorphism and Alzheimer’s disease. Mol. Neurobiol. 51, 1017– 1023. 10.1007/s12035-014-8761-2 24878768 · DOI
  40. Shtutman M. Baig M. Levina E. Hurteau G. Lim C. U. Broude E. (2011). Tumor-specific silencing of COPZ2 gene encoding coatomer protein complex subunit zeta 2 renders tumor cells dependent on its paralogous gene COPZ1. Proc. Natl. Acad. Sci. U.S.A. 108, 12449– 12454. 10.1073/pnas.1103842108 21746916 PMC3145676 · DOI
  41. Tan C. C. Wan Y. Tan M. S. Zhang W. Wang Z. X. Sun F. R. (2016). Association of frontotemporal dementia GWAS loci with late-onset Alzheimer’s disease in a Northern Han Chinese population. J. Alzheimers Dis. 52, 43– 50. 10.3233/JAD-151073 26967218 · DOI
  42. Van Cauwenberghe C. Van Broeckhoven C. Sleegers K. (2016). The genetic landscape of Alzheimer disease: clinical implications and perspectives. Genet. Med. 18, 421– 430. 10.1038/gim.2015.117 26312828 PMC4857183 · DOI · Paper page
  43. Wan Nasri W. N. Makpol S. Mazlan M. Tooyama I. Wan Zurinah Wan Ngah W. Z. Damanhuri H. A. (2018). Tocotrienol rich fraction supplementation modulate brain hippocampal gene expression in APPswe/PS1dE9 Alzheimer’s disease mouse model. J. Alzheimers Dis. 70, s1, S239– S254 10.3233/JAD-180496 PMC6700627 30507571 · DOI
  44. Ward L. D. Kellis M. (2012). HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants. Nucleic Acids Res. 40, D930– D934. 10.1093/nar/gkr917 22064851 PMC3245002 · DOI · Paper page
  45. Zhang S. Li X. Ma G. Jiang Y. Liao M. Feng R. (2016b). CLU rs9331888 polymorphism contributes to Alzheimer’s disease susceptibility in Caucasian but not East Asian populations. Mol. Neurobiol. 53, 1446– 1451. 10.1007/s12035-015-9098-1 25633098 · DOI
  46. Zhang Y. Wang L. Jia H. Liao M. Chen X. Xu J. (2018). Genetic variants regulate NR1H3 expression and contribute to multiple sclerosis risk. J. Neurol. Sci. 390, 162– 165. 10.1016/j.jns.2018.04.037 29801879 · DOI
  47. Zhang Q. Y. Wang H. F. Zheng Z. J. Kong L. L. Tan M. S. Tan C. C. (2016a). FERMT2 rs17125944 polymorphism with Alzheimer’s disease risk: a replication and meta-analysis. Oncotarget 7, 39044– 39050. 10.18632/oncotarget.9679 27244899 PMC5129912 · DOI
  48. Zhang S. Zhang D. Jiang Y. Wu L. Shang H. Liu J. (2015). CLU rs2279590 polymorphism contributes to Alzheimer’s disease susceptibility in Caucasian and Asian populations. J. Neural Transm. (Vienna) 122, 433– 439. 10.1007/s00702-014-1260-9 24947876 · DOI
  49. Zou F. Chai H. S. Younkin C. S. Allen M. Crook J. Pankratz V. S. (2012). Brain expression genome-wide association study (eGWAS) identifies human disease-associated variants. PLoS Genet. 8, e1002707 10.1371/journal.pgen.1002707 22685416 PMC3369937 · DOI

Authors
Yang, Y., Wang, X., Ju, W., Sun, L., & Zhang, H.
Affiliations
First Hospital of Jilin University (CN)
Corresponding author
  • Sun, Li
  • Zhang, Haining
Venue
Frontiers in Genetics
Published
2019-09-19
Volume
10
Pages
866-866
ISSN
1664-8021 (ISSN-L)
OpenAlex
W2969990678
Cited by
6
References
55
Citations by year
2025: 3 · 2023: 1 · 2022: 1 · 2021: 1
FWCI
0.34
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Genetics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Natural Science Foundation of China (81571231, 81500911)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
Alzheimer's disease, genetic susceptibility, single nucleotide polymorphisms, expression quantitative trait loci, gene expression regulation, cerebellar cortex, whole blood, amyloid plaques

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