The Impact of Complement Genes on the Risk of Late-Onset Alzheimer's Disease

被引:16
|
作者
Carpanini, Sarah M. [1 ,2 ]
Harwood, Janet C. [3 ]
Baker, Emily [1 ]
Torvell, Megan [1 ,2 ]
Sims, Rebecca [3 ]
Williams, Julie [1 ]
Morgan, B. Paul [1 ,2 ]
机构
[1] Cardiff Univ, UK Dementia Res Inst, Sch Med, Cardiff CF24 4HQ, Wales
[2] Cardiff Univ, Syst Immun Res Inst, Sch Med, Div Infect & Immun, Cardiff CF14 4XN, Wales
[3] Cardiff Univ, Sch Med, Div Psychol Med & Clin Neurosci, Cardiff CF24 4HQ, Wales
基金
英国医学研究理事会;
关键词
complement; complement receptor 1; clusterin; late-onset Alzheimer’ s disease; genetics; neuroinflammation; GENOME-WIDE ASSOCIATION; APOLIPOPROTEIN-E; IDENTIFIES VARIANTS; BETA; BINDING; ALLELE; METAANALYSIS; ACTIVATION; BIOMARKERS; INHIBITOR;
D O I
10.3390/genes12030443
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Late-onset Alzheimer's disease (LOAD), the most common cause of dementia, and a huge global health challenge, is a neurodegenerative disease of uncertain aetiology. To deliver effective diagnostics and therapeutics, understanding the molecular basis of the disease is essential. Contemporary large genome-wide association studies (GWAS) have identified over seventy novel genetic susceptibility loci for LOAD. Most are implicated in microglial or inflammatory pathways, bringing inflammation to the fore as a candidate pathological pathway. Among the most significant GWAS hits are three complement genes: CLU, encoding the fluid-phase complement inhibitor clusterin; CR1 encoding complement receptor 1 (CR1); and recently, C1S encoding the complement enzyme C1s. Complement activation is a critical driver of inflammation; changes in complement genes may impact risk by altering the inflammatory status in the brain. To assess complement gene association with LOAD risk, we manually created a comprehensive complement gene list and tested these in gene-set analysis with LOAD summary statistics. We confirmed associations of CLU and CR1 genes with LOAD but showed no significant associations for the complement gene-set when excluding CLU and CR1. No significant association with other complement genes, including C1S, was seen in the IGAP dataset; however, these may emerge from larger datasets.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Association studies between the plasmin genes and late-onset Alzheimer's disease
    Shibata, Nobuto
    Kawarai, Toshitaka
    Meng, Yan
    Lee, Joseph H.
    Lee, Hye-Seung
    Wakutani, Yosuke
    Shibata, Eri
    Pathan, Nazia
    Bi, Andrew
    Sato, Christine
    Sorbi, Sandro
    Brunie, Amalia C.
    Duara, Ranjan
    Mayeux, Richard
    Farrer, Lindsay A.
    George-Hyslop, Peter St.
    Rogaeva, Ekaterina
    [J]. NEUROBIOLOGY OF AGING, 2007, 28 (07) : 1041 - 1043
  • [22] Investigation of 15 of the top candidate genes for late-onset Alzheimer's disease
    Belbin, Olivia
    Carrasquillo, Minerva M.
    Crump, Michael
    Culley, Oliver J.
    Hunter, Talisha A.
    Ma, Li
    Bisceglio, Gina
    Zou, Fanggeng
    Allen, Mariet
    Dickson, Dennis W.
    Graff-Radford, Neill R.
    Petersen, Ronald C.
    Morgan, Kevin
    Younkin, Steven G.
    [J]. HUMAN GENETICS, 2011, 129 (03) : 273 - 282
  • [23] Candidate genes for late-onset Alzheimer's disease: Focus on chromosome 12
    Panza, F
    Colacicco, AM
    D'Introno, A
    Capurso, C
    Liaci, M
    Capurso, SA
    Capurso, A
    Solfrizzi, V
    [J]. MECHANISMS OF AGEING AND DEVELOPMENT, 2006, 127 (01) : 36 - 47
  • [24] Late-Onset Alzheimer Disease
    Pierce, Aimee L.
    Bullain, Szofia S.
    Kawas, Claudia H.
    [J]. NEUROLOGIC CLINICS, 2017, 35 (02) : 283 - +
  • [25] Endo-lysosomal dysregulations and late-onset Alzheimer's disease: impact of genetic risk factors
    Van Acker, Zoe P.
    Bretou, Marine
    Annaert, Wim
    [J]. MOLECULAR NEURODEGENERATION, 2019, 14 (1)
  • [26] Endo-lysosomal dysregulations and late-onset Alzheimer’s disease: impact of genetic risk factors
    Zoë P. Van Acker
    Marine Bretou
    Wim Annaert
    [J]. Molecular Neurodegeneration, 14
  • [27] Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture
    Qian Zhang
    Julia Sidorenko
    Baptiste Couvy-Duchesne
    Riccardo E. Marioni
    Margaret J. Wright
    Alison M. Goate
    Edoardo Marcora
    Kuan-lin Huang
    Tenielle Porter
    Simon M. Laws
    Perminder S. Sachdev
    Karen A. Mather
    Nicola J. Armstrong
    Anbupalam Thalamuthu
    Henry Brodaty
    Loic Yengo
    Jian Yang
    Naomi R. Wray
    Allan F. McRae
    Peter M. Visscher
    [J]. Nature Communications, 11
  • [28] Investigation of MAPT Subhaplotypes as Risk Factors for Late-Onset Alzheimer's Disease
    Allen, Mariet
    Kachadoorian, Michaela
    Quicksall, Zachary
    Zou, Fanggeng
    Chai, High Seng
    Younkin, Curtis
    Crook, Julia
    Pankratz, Vernon
    Carrasquillo, Minerva
    Krishnan, Siddharth
    Thuy Nguyen
    Ma, Li
    Malphrus, Kimberly
    Lincoln, Sarah
    Bisceglio, Gina
    Kolbert, Christopher
    Jen, Jin
    Petersen, Ronald
    Graff-Radford, Neill
    Dickson, Dennis
    Younkin, Steven
    Taner, Nilufer
    [J]. NEUROLOGY, 2013, 80
  • [29] Late-onset autosomal dominant Alzheimer's disease
    Hancock, P.
    Larner, A. J.
    [J]. EUROPEAN JOURNAL OF NEUROLOGY, 2007, 14 : 187 - 188
  • [30] Risk prediction of late-onset Alzheimer's disease implies an oligogenic architecture
    Zhang, Qian
    Sidorenko, Julia
    Couvy-Duchesne, Baptiste
    Marioni, Riccardo E.
    Wright, Margaret J.
    Goate, Alison M.
    Marcora, Edoardo
    Huang, Kuan-lin
    Porter, Tenielle
    Laws, Simon M.
    Sachdev, Perminder S.
    Mather, Karen A.
    Armstrong, Nicola J.
    Thalamuthu, Anbupalam
    Brodaty, Henry
    Yengo, Loic
    Yang, Jian
    Wray, Naomi R.
    McRae, Allan F.
    Visscher, Peter M.
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)