Progranulin polymorphism rs5848 is associated with increased risk of Alzheimer's disease
Introduction
Dementia is a symptom associated with serious loss of global cognitive ability. It is estimated that about 35.6 million people lived with dementia worldwide in 2010, however, the number is expected to almost double every 20 years, to 65.7 million in 2030 and 115.4 million in 2050 (Prince et al., 2013). As the most common disease leading to primary degenerative dementia, Alzheimer's disease (AD) is a multifactorial disorder with a complex etiology and a strong genetic component. Recently studies have found that about 20% of AD-attributable risk is related to the ε4 variant in apolipoprotein E (APOE) (Slooter et al., 1998). A series of large genome-wide association studies (GWASs) have identified several additional variants that affect AD susceptibility, including CR1, CLU, PICALM, BIN1, CD2AP, CD33, EPHA1, MS4A6A/MS4E4, and ABCA7 (reviewed in Piaceri et al., 2013). Recently, progranulin (PGRN) was identified as a susceptibility gene for neurodegenerative diseases (Fenoglio et al., 2009, Viswanathan et al., 2009). In particular, a single-nucleotide polymorphism (SNP) rs5848, located in the 3′-untranslated region (3′-UTR) of PGRN, is associated with AD and other neurodegenerative diseases (Rademakers et al., 2008). Several studies have reported that the T-allele of rs5848 is associated with the increased risk of AD (Kamalainen et al., 2013, Lee et al., 2011, Viswanathan et al., 2009), however, others failed to observe this association (Fenoglio et al., 2009, Mateo et al., 2013). This inconsistence might be due to the limited subjects included in each study as single study may be underpowered to estimate the effects of loci conferring small changes in disease risk. In the present study, we conducted a meta-analysis by pooling all five case–control studies comprising 2502 AD cases and 2162 controls to derive a more precise estimation of the relationship between the rs5848 and AD risk.
Section snippets
Identification and eligibility of relevant studies
We conducted a literature search in the PubMed databases up to July 2013 using the following MeSH terms and keywords: “progranulin polymorphism” or “rs5848”, and “Alzheimer's disease”. Additional studies were identified by a manual search from other sources (e.g., Web of Knowledge), references of original studies or review articles on this topic. Eligible studies included in this meta-analysis had to meet the following criteria: (a) evaluation of the association between rs5848 and AD, (b) an
Characteristics of studies
Fourteen abstracts were retrieved through the search key words “progranulin polymorphism” or “rs5848” and “Alzheimer's disease”, and four studies meeting the inclusion criteria were identified as eligible (Fenoglio et al., 2009, Kamalainen et al., 2013, Lee et al., 2011, Viswanathan et al., 2009). Out of the fourteen, one was a review article (Doi and Tanaka, 2013), one was to evaluate the association of rs5848 (3′ UTR variant in progranulin) with TDP-43 immunoreactivity (Dickson et al., 2010),
Discussion
The present study demonstrated that rs5848 polymorphism is associated with increased risk of AD in homozygous and recessive models, and this association is observed in Caucasians. PGRN is the precursor of granulins, and its down-regulation may lead to neurodegeneration (Baker et al., 2006, Cruts et al., 2006). It has been reported that rs5848 at the 3′-UTR of PGRN is the functional SNP relevant to PGRN expression and that miR-659 can regulate PGRN expression as miR-659 binds more efficiently to
Author contributions
All authors contributed to this study, JS, GC and ZX conceived and designed the experiments; JS, LS and GC performed the experiments and analyzed the data; GC and ZX contributed materials/analysis tools; JS GC and ZX wrote the paper.
Competing financial interests
The authors declare no competing financial interests.
Acknowledgments
We are grateful to Drs. Christine Van Broeckhoven and Kristel Sleegers, from University of Antwerp, Belgium for providing the frequencies of the rs5848 of subjects. This study was supported by the Fundamental Research Funds for the Central Universities (2011QNA7018, 2012QNA7019) and the Qianjiang Talents Program of Zhejiang Province (2013R10041). Dr. Guangdi Chen was supported by the Technology Foundation for Excellent Overseas Chinese Scholar, Zhejiang Province Human Resources and Social
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