| Title |
Validating GWAS Variants from Microglial Genes Implicated in Alzheimer’s Disease
|
|---|---|
| Published in |
Journal of Molecular Neuroscience, May 2017
|
| DOI | 10.1007/s12031-017-0928-7 |
| Pubmed ID | |
| Authors |
Lígia Ramos dos Santos, Lúcia Helena Sagrillo Pimassoni, Geralda Gillian Silva Sena, Daniela Camporez, Luciano Belcavello, Maíra Trancozo, Renato Lírio Morelato, Flavia Imbroisi Valle Errera, Maria Rita Passos Bueno, Flavia de Paula |
| Abstract |
Late-onset Alzheimer's disease (LOAD) is a multifactorial neurodegenerative disorder that corresponds to most Alzheimer's disease (AD) cases. Inflammation is frequently related to AD, whereas microglial cells are the major phagocytes in the brain and mediate the removal of Aβ peptides. Microglial cell dsyregulation might contribute to the formation of amyloid plaques, a hallmark of AD. Genome-wide association studies have reported genetic loci associated with the inflammatory pathway involved in AD. Among them, rs3865444 CD33, rs3764650 ABCA7, rs6656401 CR1, and rs610932 MS4A6A variants in microglial genes are associated with LOAD. These variants are proposed to participate in the clearance of Aβ peptides. However, their association with LOAD was not validated in all case-control studies. Thus, the present work aimed to assess the involvement of CD33 (rs3865444), ABCA7 (rs3764650), CR1 (rs6656401), and MS4A6A (rs610932) with LOAD in a sample from southeastern Brazil. The genotype frequencies were assessed in 79 AD patients and 145 healthy elders matched for sex and age. We found that rs3865444 CD33 acts as a protective factor against LOAD. These results support a role for the inflammatory pathway in LOAD. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 23% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Master | 9 | 14% |
| Student > Bachelor | 4 | 6% |
| Student > Postgraduate | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 15 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Neuroscience | 8 | 12% |
| Agricultural and Biological Sciences | 6 | 9% |
| Medicine and Dentistry | 5 | 8% |
| Nursing and Health Professions | 2 | 3% |
| Other | 11 | 17% |
| Unknown | 25 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 March 2018.
All research outputs
#3,711,488
of 25,382,440 outputs
Outputs from Journal of Molecular Neuroscience
#157
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Outputs of similar age
#64,396
of 324,919 outputs
Outputs of similar age from Journal of Molecular Neuroscience
#6
of 24 outputs
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