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Assessment of the genetic variance of late-onset Alzheimer's disease
Ridge PG, Hoyt KB, Boehme K, Mukherjee S, Crane PK, Haines JL, Mayeux R, Farrer LA et al.. Neurobiology of aging, 2016-03-03
Topic: Amyloid, tau and blood-test diagnosis
Alzheimer's disease (AD) is a complex genetic disorder with no effective treatments. More than 20 common markers have been identified, which are associated with AD. Recently, several rare variants have been identified in Amyloid Precursor Protein (APP), Triggering Receptor Expressed On Myeloid Cells 2 (TREM2) and Unc-5 Netrin Receptor C (UNC5C) that affect risk for AD.
Key findings
- More than 20 common markers have been identified, which are associated with AD.
- Recently, several rare variants have been identified in Amyloid Precursor Protein (APP), Triggering Receptor Expressed On Myeloid Cells 2 (TREM2) and Unc-5 Netrin Receptor C (UNC5C) that affect risk for AD.
- Despite the many successes, the genetic architecture of AD remains unsolved.
- We used Genome-wide Complex Trait Analysis to (1) estimate phenotypic variance explained by genetics; (2) calculate genetic variance explained by known AD single nucleotide polymorphisms (SNPs); and (3) identify the genomic locations of variation that explain the remaining unexplained genetic variance.
Why it matters
This work estimates how much of Alzheimer's risk is explained by genetics and notes that the genetic architecture of the disease remains unsolved. It does not test any treatment, so it offers no direct path to treating, curing or preventing Alzheimer's.
New to this subject? Start with our plain-English guide: Genetics →
Study details
- Effect size53.24%; 30.62%
- Evidence strengthLow
How this study scored 53/100
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.
| Component | Points | Why |
|---|---|---|
| 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 | 1 / 5 | 2016 — within 20 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 239 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 19.9 citations a year over 12 year(s) since 2016 |
| Impact for its field and year | 4 / 6 | Cited 14.9× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 3 / 6 | Cited by 12 other studies in this library |
| Still being cited | 2 / 4 | Cited 46 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 4 / 4 | Last-listed author Joel H. Kramer: h-index 121 (OpenAlex, whole career) |
| Institution's track record | 3 / 3 | University of Washington: institution h-index 3,540 (OpenAlex) |
| Multi-centre collaboration | 3 / 3 | OpenAlex lists 29 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 27036079) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 53 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1016/j.neurobiolaging.2016.02.024
- PubMed: 27036079
- Original source →
- Free full text: Neurobiology of Aging →
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
Ridge, P. G., Hoyt, K. B., Boehme, K., Mukherjee, S., Crane, P. K., Haines, J. L., et al. (2016). Assessment of the genetic variance of late-onset Alzheimer's disease. Neurobiology of aging. https://doi.org/10.1016/j.neurobiolaging.2016.02.024
Vancouver
Ridge PG, Hoyt KB, Boehme K, Mukherjee S, Crane PK, Haines JL, et al. Assessment of the genetic variance of late-onset Alzheimer's disease. Neurobiology of aging. 2016. doi:10.1016/j.neurobiolaging.2016.02.024. PMID: 27036079.
BibTeX
@article{ridge2016-27036079,
author = {Ridge, P. G. and Hoyt, K. B. and Boehme, K. and Mukherjee, S. and Crane, P. K. and Haines, J. L. and Mayeux, R. and Farrer, L. A. and others},
title = {{Assessment of the genetic variance of late-onset Alzheimer's disease}},
journal = {Neurobiology of aging},
year = {2016},
doi = {10.1016/j.neurobiolaging.2016.02.024},
pmid = {27036079},
url = {https://doi.org/10.1016/j.neurobiolaging.2016.02.024}
}
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