Trial reportCirculation. Cardiovascular genetics2015
Multiethnic genome-wide association study of cerebral white matter hyperintensities on MRI.
Trial report in Circulation. Cardiovascular genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 12 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
108 citing papers in PubMed, 12 syntheses or guidelines pooled it, 177 citations in OpenAlex.
- Meta-analyses of genome-wide association studies identify novel loci influencing Japanese white matter hyperintensities.Journal of human genetics · 2026Pooled it
- Identification and validation of supervariants reveal novel loci associated with human white matter microstructure.Genome research · 2024Pooled it
- Genetic basis of lacunar stroke: a pooled analysis of individual patient data and genome-wide association studies.The Lancet. Neurology · 2021Pooled it
- Cerebral small vessel disease genomics and its implications across the lifespan.Nature communications · 2020Pooled it
- Genome-wide association study of cognitive function in diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos.Translational psychiatry · 2020Pooled it
- Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities.Stroke · 2020Pooled it
- Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume.Nature communications · 2018Pooled it
- Pooled it
- Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes.Nature genetics · 2018Pooled it
- Pooled it
- Identification of additional risk loci for stroke and small vessel disease: a meta-analysis of genome-wide association studies.The Lancet. Neurology · 2016Pooled it
- Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke.Neurology · 2016Pooled it
- Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026Review
- The role of inflammation in cerebral small vessel disease and vascular cognitive impairment, and therapeutic implications.International journal of stroke : official journal of the International Stroke Society · 2026Review
- Genetic Architecture of Cerebral White Matter Hyperintensities in Diverse Hispanic/Latino Adults.Neurology. Genetics · 2025Article
- Convolutional Neural Networks for the segmentation of hippocampal structures in postmortem MRI scans.Journal of neuroscience methods · 2025Article
- WMH Contributions to Cognitive Impairment: Rationale and Design of the Diverse VCID Study.Stroke · 2025Review
- A comparative study of risk factors in predictive models for cognitive dysfunction in patients with leukoaraiosis based on machine learning algorithms.Frontiers in neuroscience · 2025Article
- Polygenic risk for white matter hyperintensities is associated with early cerebrovascular events partly through hemodynamic measures in cognitively unimpaired middle-aged and older adults with low cardiovascular risk.Frontiers in neurology · 2025Article
- Common protein-altering variant in GFAP is associated with white matter lesions in the older Japanese population.NPJ genomic medicine · 2024Article
48 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
102 authors at 20 institutions in 11 countries.
Funding
Abstract
backgroundThe burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies. METHODS AND
resultsWe included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7×10(-19)) and identified novel loci on chr10q24 (P=1.6×10(-9)) and chr2p21 (P=4.4×10(-8)). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0×10(-8)) and chr2p16 (P=1.5×10(-8)). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16).
conclusionsWe identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.