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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 55 out of 100. Genetics

Topic: Amyloid, tau and blood-test diagnosis

ObjectivesEmerging evidence suggests that the genetic architecture of Alzheimer disease (AD) and Parkinson disease (PD) risk varies across ancestries. This study seeks to explore distinct and universal genetic targets across individuals of Latino, African/African-admixed, East Asian, and European populations by implementing population attributable risk (PAR) comparisons using summary statistics from genome-wide association studies (GWASs). MethodsPAR was calculated for the most significant disease variants using summary statistics derived from select multi-ancestry GWAS meta-analyses, followed by fine-mapping analysis to validate genetic contribution of disease variants to European, African/African-admixed, East Asian, and Latino individuals. ResultsFor AD, APOE4 PAR estimates were universally high across all ancestries, with TSPAN14 and PICALM emerging as other common targets. Attributable risk varied across PD-related major risk loci, including variation nearby GBA1 and LRRK2. By contrast, SNCA, MCCC1, VPS13C, and MAPT loci demonstrated comparable attributable risk across ancestries. DiscussionThis cross-ancestry evaluation of PAR reinforces the genetic heterogeneity of AD and PD. In consideration of the complex etiology of these diseases, these findings may inform the strategic prioritization of therapeutic targets and improve global health outcomes.

Key findings

Why it matters

This analysis found that APOE4 attributable risk for Alzheimer disease was universally high across ancestries, with TSPAN14 and PICALM as other common targets. The authors say these findings may help prioritize therapeutic targets, but no treatment was tested.

Study details

How this study scored 55/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 0 of 4; Study design 12 of 12; Strength of evidence 5 of 5; Peer-review validation 10 of 10; How recent 5 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 1 of 7; Citations per year 0 of 5; Impact for its field and year 3 of 6; Cited by studies here 0 of 6; Still being cited 0 of 4; Senior author's track record left out, no data; Institution's track record 3 of 3; Multi-centre collaboration 3 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. 53 of the 96 points it could be judged on, which is 55 of 100. Total 55 of 100.53 of the 96 points we could judge = 55 of 100

Published in a peer-reviewed journal, and it is a meta-analysis pooling many studies. Scored zero for sample size, effect reported and studied in people because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 53 of the 96 points we could judge it on, which is 55 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Neurology Genetics)
Journal's citation record 0 / 4 Neurology Genetics: journal h-index 53 (OpenAlex, 2026-10-29)
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 5 / 5 2026 — within 1 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 A review of other studies — randomisation is not credited here
Times cited 1 / 7 Cited 1 times (OpenAlex, 2026-10-10)
Citations per year 0 / 5 0.5 citations a year over 2 year(s) since 2026
Impact for its field and year 3 / 6 Cited 4.2× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 0 / 4 Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record — / 4 OpenAlex's profile for last-listed author as the Global Parkinson's Genetics Program (GP2) holds only 2 work(s), too few to judge a track record — left out of this score
Institution's track record 3 / 3 National Institutes of Health: institution h-index 2,723 (OpenAlex)
Multi-centre collaboration 3 / 3 OpenAlex lists 12 institution(s) in 5 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 42639394)
Free to read 2 / 2 Free to read
Points 53 / 96 Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 53 of the 96 points we could judge it on is 55 out of 100.
Total 55 / 100 —

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

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

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

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Jones, L., Cerquera‐Cleves, C., Schuh, A. F. S., Makarious, M. B., Iwaki, H., Nalls, M. A., et al. (2026). Population Attributable Risk in Alzheimer and Parkinson Diseases. Neurology Genetics. https://doi.org/10.1212/nxg.0000000000200415

Vancouver

Jones L, Cerquera‐Cleves C, Schuh AFS, Makarious MB, Iwaki H, Nalls MA, et al. Population Attributable Risk in Alzheimer and Parkinson Diseases. Neurology Genetics. 2026. doi:10.1212/nxg.0000000000200415. PMID: 42639394.

BibTeX

@article{jones2026-42639394,
  author  = {Jones, Lietsel and Cerquera‐Cleves, Catalina and Schuh, Artur Francisco Schumacher and Makarious, Mary B. and Iwaki, Hirotaka and Nalls, Mike A. and Noyce, Alastair John and Blauwendraat, Cornelis and others},
  title   = {{Population Attributable Risk in Alzheimer and Parkinson Diseases}},
  journal = {Neurology Genetics},
  year    = {2026},
  doi     = {10.1212/nxg.0000000000200415},
  pmid    = {42639394},
  url     = {https://doi.org/10.1212/nxg.0000000000200415}
}

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