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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 51 out of 100. Genetics

Topic: Amyloid, tau and blood-test diagnosis

We performed whole-exome and whole-genome sequencing in 927 late-onset Alzheimer disease (LOAD) cases, 852 early-onset AD (EOAD) cases, and 1273 controls from France. We assessed the evidence for gene-based association of rare variants with AD in 6 genes for which an association with such variants was previously claimed. When aggregating protein-truncating and missense-predicted damaging variants, we found exome-wide significant association between EOAD risk and rare variants in SORL1, TREM2, and ABCA7. No exome-wide significant signal was obtained in the LOAD sample, and significance of the order of 10 -6 was observed in the whole AD group for TREM2. Our study confirms previous gene-level results for TREM2, SORL1, and ABCA7 and provides a clearer insight into the classes of rare variants involved. Despite different effect sizes and varying cumulative minor allele frequencies, the rare protein-truncating and missense-predicted damaging variants in TREM2, SORL1, and ABCA7 contribute similarly to the heritability of EOAD and explain between 1.1% and 1.5% of EOAD heritability each, compared with 9.12% for APOE ε4.

Key findings

Why it matters

This sequencing study found that rare damaging variants in SORL1, TREM2 and ABCA7 are each linked to early-onset Alzheimer's disease risk, though each explains only a small share of heritability compared with APOE epsilon 4. No significant signal was found for late-onset Alzheimer's disease in this sample.

Study details

Limitations

The significant association reported here was for early-onset Alzheimer's disease; the abstract indicates this same signal was tested but not necessarily confirmed for late-onset disease, and the cohort is limited to a French population.

How this study scored 51/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 2 of 5; Sample size 0 of 4; Effect reported 2 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 5 of 7; Citations per year 3 of 5; Impact for its field and year 4 of 6; Cited by studies here 3 of 6; Still being cited 2 of 4; Senior author's track record 1 of 4; Institution's track record 3 of 3; Multi-centre collaboration 3 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 51 of 100.51 of 100 points earned49 not earned

Published in a peer-reviewed journal. Scored zero for study design, sample size, studied in people and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Neurobiology of aging)
Journal's citation record 3 / 4 Neurobiology of Aging: journal h-index 263 (OpenAlex, 2026-10-29)
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 2 / 5 2017 — within 10 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 2 / 3 Effect reported as a number, without an interval or test
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 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 5 / 7 Cited 169 times (OpenAlex, 2026-10-10)
Citations per year 3 / 5 15.4 citations a year over 11 year(s) since 2017
Impact for its field and year 4 / 6 Cited 9.8× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 3 / 6 Cited by 10 other studies in this library
Still being cited 2 / 4 Cited 43 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 1 / 4 Last-listed author Snejana Jurici: h-index 14 (OpenAlex, whole career)
Institution's track record 3 / 3 Centre National de la Recherche Scientifique: institution h-index 2,511 (OpenAlex)
Multi-centre collaboration 3 / 3 OpenAlex lists 27 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 28789839)
Free to read 0 / 2 Behind a paywall — scores zero
Total 51 / 100 —

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

Read the original

Full text: free to read — Unpaywall lists this copy as free to read: the link above (checked 10 Oct 2026).

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

Bellenguez, C., Charbonnier, C., Grenier-Boley, B., Quenez, O., Le Guennec, K., Nicolas, G., et al. (2017). Contribution to Alzheimer's disease risk of rare variants in TREM2, SORL1, and ABCA7 in 1779 cases and 1273 controls. Neurobiology of aging. https://doi.org/10.1016/j.neurobiolaging.2017.07.001

Vancouver

Bellenguez C, Charbonnier C, Grenier-Boley B, Quenez O, Le Guennec K, Nicolas G, et al. Contribution to Alzheimer's disease risk of rare variants in TREM2, SORL1, and ABCA7 in 1779 cases and 1273 controls. Neurobiology of aging. 2017. doi:10.1016/j.neurobiolaging.2017.07.001. PMID: 28789839.

BibTeX

@article{bellenguez2017-28789839,
  author  = {Bellenguez, C. and Charbonnier, C. and Grenier-Boley, B. and Quenez, O. and Le Guennec, K. and Nicolas, G. and Chauhan, G. and Wallon, D. and others},
  title   = {{Contribution to Alzheimer's disease risk of rare variants in TREM2, SORL1, and ABCA7 in 1779 cases and 1273 controls}},
  journal = {Neurobiology of aging},
  year    = {2017},
  doi     = {10.1016/j.neurobiolaging.2017.07.001},
  pmid    = {28789839},
  url     = {https://doi.org/10.1016/j.neurobiolaging.2017.07.001}
}

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