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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 83 out of 100. TREM2 and immune genetics

Topic: Brain proteins, microglia and lab models

Rare variants in the coding sequence of triggering receptor expressed on myeloid cells 2 (TREM2) have been identified in Alzheimer's disease (AD). They have been reported to be causative or confer risk of AD in several populations. However, the results are not conclusive. Therefore, a meta-analysis was performed to investigate the association between rare variants of TREM2 and the susceptibility to AD. Case-control studies meeting the inclusion criteria were identified by searching the PubMed, Embase and Web of Science databases. The association between four commonly analyzed variants of TREM2, p.Arg47His (R47H), p.Arg62His (R62H), p.Asp87Asn (D87N) and p.His157Tyr (H157Y), and the risk of AD were evaluated by meta-analyses with the fixed-effects model. Finally, a total of 26 datasets comprising 28,007 cases and 45,121 controls were included. There was no or low between-study heterogeneity in all comparisons. A significantly increased risk of AD was observed in carriers of R47H compared with non-carriers [odds ratio (OR)=3.88, 95% CI: 3.17-4.76, P<0.001], R62H (OR=1.37, 95% CI: 1.11-1.70, P=0.004) and H157Y (OR=4.22, 95% CI: 1.93-9.21, P<0.001). However, R62H only conferred a mild risk compared to R47H and H157Y (OR=1.37 vs. 3.88 and 4.22, respectively). D87N was not associated with AD susceptibility. Sensitivity analysis indicated that the association identified for R62H was not significant (P=0.192) when excluding a large-sample study. Subgroup analysis according to ethnicity revealed significant associations (R47H and H157Y) in Caucasians but not in Asians. In conclusion, rare coding variants of TREM2 were associated with an elevated risk of AD, particularly in Caucasians.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Li, R., Wang, X., & He, P. (2021). The most prevalent rare coding variants of TREM2 conferring risk of Alzheimer's disease: A systematic review and meta-analysis. Experimental and therapeutic medicine. https://doi.org/10.3892/etm.2021.9778

Vancouver

Li R, Wang X, He P. The most prevalent rare coding variants of TREM2 conferring risk of Alzheimer's disease: A systematic review and meta-analysis. Experimental and therapeutic medicine. 2021. doi:10.3892/etm.2021.9778. PMID: 33732320.

BibTeX

@article{li2021-33732320,
  author  = {Li, R. and Wang, X. and He, P.},
  title   = {{The most prevalent rare coding variants of TREM2 conferring risk of Alzheimer's disease: A systematic review and meta-analysis}},
  journal = {Experimental and therapeutic medicine},
  year    = {2021},
  doi     = {10.3892/etm.2021.9778},
  pmid    = {33732320},
  url     = {https://doi.org/10.3892/etm.2021.9778}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

Key findings

Study details

How this study scored 83/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record left out, no data; Study design 12 of 12; Strength of evidence 5 of 5; Peer-review validation 10 of 10; How recent 3 of 5; Sample size 1 of 4; Effect reported 3 of 3; Studied in people 3 of 3; Randomized / blinded 0 of 2; Times cited left out, no data; Citations per year left out, no data; Impact for its field and year left out, no data; Cited by studies here left out, no data; Still being cited left out, no data; Senior author's track record left out, no data; Institution's track record left out, no data; Multicenter collaboration left out, no data; Indexed in PubMed 2 of 2; Free to read 2 of 2. 48 of the 58 points it could be judged on, which is 83 of 100. Total 83 of 100.48 of the 58 points we could judge = 83 of 100

Published in a peer-reviewed journal, and it is a meta-analysis pooling many studies. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multicenter collaboration, so those were left out: it earned 48 of the 58 points we could judge it on, which is 83 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Experimental and therapeutic medicine)
Journal's citation record — / 4 No journal record from OpenAlex — left out of this score
Study design 12 / 12 A meta-analysis pooling many studies
Strength of evidence 5 / 5 Rated “high” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 3 / 5 2021 — within 6 year(s) of the newest study here
Sample size 1 / 4 26 participants
Effect reported 3 / 3 Effect reported with a statistic (interval, p-value, ratio or similar)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomized / blinded 0 / 2 A review of other studies — randomization is not credited here
Times cited — / 7 No citation count (not found in OpenAlex) — left out of this score
Citations per year — / 5 No citation count or no year — left out of this score
Impact for its field and year — / 6 No field-weighted citation impact (OpenAlex has none yet) — left out of this score
Cited by studies here — / 6 Not yet checked against this library's citation graph — left out of this score
Still being cited — / 4 No yearly citation counts — left out of this score
Senior author's track record — / 4 Senior author's record not available — left out of this score
Institution's track record — / 3 No institution listed in OpenAlex — left out of this score
Multicenter collaboration — / 3 Institutions not listed — left out of this score
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 33732320)
Free to read 2 / 2 Free to read
Points 48 / 58 Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 48 of the 58 points we could judge it on is 83 out of 100.
Total 83 / 100 —

What each of these 20 components measures, and what this score is not →

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