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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 54 out of 100. Genetics

Topic: Genetics and APOE

Fusion of all five data modalities (n = 111) yielded two subtypes (n S1 = 53, n S2 = 58), which were nominally associated with diffuse amyloid plaques; however, this effect was not significant after correction for multiple testing. Secondary analysis integrating only these three modalities in a larger subsample (n = 513) indicated support for both three- and five-subtype solutions, which had significant overlap, but showed varying degrees of internal stability and external validity. One subtype showed marked cognitive decline, which remained significant even after correcting for tests across both three- and five-subtype solutions (p Bonf = 5.9 × 10-3). Comparison to single-modality subtypes demonstrated that the three-modal subtypes were able to uniquely capture cognitive variability. Fusing RNA abundance, DNA methylation, and histone acetylation measures generated subtypes that were associated with cognitive decline.

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

APA 7th

Yang, M., Matan-Lithwick, S., Wang, Y., De Jager, P. L., Bennett, D. A., & Felsky, D. (2023). Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing. Brain communications. https://doi.org/10.1093/braincomms/fcad110

Vancouver

Yang M, Matan-Lithwick S, Wang Y, De Jager PL, Bennett DA, Felsky D. Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing. Brain communications. 2023. doi:10.1093/braincomms/fcad110. PMID: 37082508.

BibTeX

@article{yang2023-37082508,
  author  = {Yang, Mu and Matan-Lithwick, Stuart and Wang, Yanling and De Jager, Philip L and Bennett, David A and Felsky, Daniel},
  title   = {{Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing}},
  journal = {Brain communications},
  year    = {2023},
  doi     = {10.1093/braincomms/fcad110},
  pmid    = {37082508},
  url     = {https://doi.org/10.1093/braincomms/fcad110}
}

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 54/100
How this study's score is builtJournal tier 9 of 10; Journal's citation record left out, no data; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 3 of 5; Sample size 2 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / 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; Multi-centre collaboration left out, no data; Indexed in PubMed 2 of 2; Free to read left out, no data. 30 of the 56 points it could be judged on, which is 54 of 100. Total 54 of 100.30 of the 56 points we could judge = 54 of 100

Published in a leading specialty journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it. 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, multi-centre collaboration and free to read, so those were left out: it earned 30 of the 56 points we could judge it on, which is 54 out of 100.

ComponentPointsWhy
Journal tier 9 / 10 Tier 2 — leading specialty journal (Brain communications)
Journal's citation record — / 4 No journal record from OpenAlex — left out of this score
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 3 / 5 2023 — within 6 year(s) of the newest study here
Sample size 2 / 4 111 participants
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
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
Multi-centre collaboration — / 3 Institutions not listed — left out of this score
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 37082508)
Free to read — / 2 Access not recorded — left out of this score
Points 30 / 56 Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 30 of the 56 points we could judge it on is 54 out of 100.
Total 54 / 100 —

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

Read the original

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