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Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities
Armstrong NJ, Mather KA, Sargurupremraj M, Knol MJ, Malik R, Satizabal CL, Yanek LR, Wen W et al.. Stroke, 2020-06-10
Topic: Brain proteins, microglia and lab models
Background and purpose Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings. Methods Participants were aged 45 years and older, free of stroke and dementia.
Key findings
- In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings.
- Methods Participants were aged 45 years and older, free of stroke and dementia.
- We conducted genome-wide association analyses of PVWMH and DWMH in 26,654 participants from CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology), ENIGMA (Enhancing Neuro-Imaging Genetics Through Meta-Analysis), and the UKB (UK Biobank).
- Regional correlations were investigated using the genome-wide association analyses -pairwise method.
Why it matters
This genetic study found that periventricular and deep white matter hyperintensities have different genetic underpinnings. It is observational and does not test any treatment, cure or prevention for dementia.
Study details
- Study designmeta-analysis
- Participants26,654
- Evidence strengthHigh
How this study scored 71/100
Published in a peer-reviewed journal, and it is a meta-analysis pooling many studies. Scored zero for effect reported because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Stroke) |
| Journal's citation record | 3 / 4 | Stroke: journal h-index 455 (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 | 2 / 5 | 2020 — within 10 year(s) of the newest study here |
| Sample size | 4 / 4 | 26,654 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 | A review of other studies — randomisation is not credited here |
| Times cited | 5 / 7 | Cited 113 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 14.1 citations a year over 8 year(s) since 2020 |
| Impact for its field and year | 3 / 6 | Cited 6.0× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 5 other studies in this library |
| Still being cited | 2 / 4 | Cited 49 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Paul Nyquist: h-index 38 (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 61 institution(s) in 10 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 32517579) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 71 / 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
Armstrong, N. J., Mather, K. A., Sargurupremraj, M., Knol, M. J., Malik, R., Satizabal, C. L., et al. (2020). Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities. Stroke. https://doi.org/10.1161/strokeaha.119.027544
Vancouver
Armstrong NJ, Mather KA, Sargurupremraj M, Knol MJ, Malik R, Satizabal CL, et al. Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities. Stroke. 2020. doi:10.1161/strokeaha.119.027544. PMID: 32517579.
BibTeX
@article{armstrong2020-32517579,
author = {Armstrong, N. J. and Mather, K. A. and Sargurupremraj, M. and Knol, M. J. and Malik, R. and Satizabal, C. L. and Yanek, L. R. and Wen, W. and others},
title = {{Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities}},
journal = {Stroke},
year = {2020},
doi = {10.1161/strokeaha.119.027544},
pmid = {32517579},
url = {https://doi.org/10.1161/strokeaha.119.027544}
}
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