SynthesisStroke2010
Genome-wide association studies of MRI-defined brain infarcts: meta-analysis from the CHARGE Consortium.
Synthesis in Stroke, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
52 citing papers in PubMed, 4 syntheses or guidelines pooled it, 91 citations in OpenAlex.
- Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry.The pharmacogenomics journal · 2020Pooled it
- Clinical Significance of Magnetic Resonance Imaging Markers of Vascular Brain Injury: A Systematic Review and Meta-analysis.JAMA neurology · 2019Pooled it
- APOE genotype and MRI markers of cerebrovascular disease: systematic review and meta-analysis.Neurology · 2013Pooled it
- Meta-analysis of sex-specific genome-wide association studies.Genetic epidemiology · 2010Pooled it
- Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging.Communications biology · 2024Article
- Gene-mapping study of extremes of cerebral small vessel disease reveals TRIM47 as a strong candidate.Brain : a journal of neurology · 2022Article
- Cerebral Small Vessel Disease: Neuroimaging Features, Biochemical Markers, Influencing Factors, Pathological Mechanism and Treatment.Frontiers in neurology · 2022Review
- Peripheral Expression ofPsychiatry and clinical psychopharmacology · 2021Article
- Association of MACROD2 gene variants with obesity and physical activity in a Korean population.Molecular genetics & genomic medicine · 2021Article
- Review
- Mammalian phospholipase D: Function, and therapeutics.Progress in lipid research · 2020Review
- Poly(ADP-Ribosylation) in Age-Related Neurological Disease.Trends in genetics : TIG · 2019Review
- Association of variants in HTRA1 and NOTCH3 with MRI-defined extremes of cerebral small vessel disease in older subjects.Brain : a journal of neurology · 2019Article
- Transcriptomic characterization of MRI contrast with focus on the T1-w/T2-w ratio in the cerebral cortex.NeuroImage · 2018Article
- Review
- Genome-wide association study of subcortical brain volume in PTSD cases and trauma-exposed controls.Translational psychiatry · 2017Article
- Genetics of vascular dementia - review from the ICVD working group.BMC medicine · 2017Review
- Application of Single-Nucleotide Polymorphism-Related Risk Estimates in Identification of Increased Genetic Susceptibility to Cardiovascular Diseases: A Literature Review.Frontiers in public health · 2017Review
- Blood and CSF biomarkers in brain subcortical ischemic vascular disease: Involved pathways and clinical applicability.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2016Review
- The Rotterdam Scan Study: design update 2016 and main findings.European journal of epidemiology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
53 authors at 1 institution in 1 country.
Funding
Abstract
background and purposePrevious studies examining genetic associations with MRI-defined brain infarct have yielded inconsistent findings. We investigated genetic variation underlying covert MRI infarct in persons without histories of transient ischemic attack or stroke. We performed meta-analysis of genome-wide association studies of white participants in 6 studies comprising the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.
methodsUsing 2.2 million genotyped and imputed single nucleotide polymorphisms, each study performed cross-sectional genome-wide association analysis of MRI infarct using age- and sex-adjusted logistic regression models. Study-specific findings were combined in an inverse-variance-weighted meta-analysis, including 9401 participants with mean age 69.7 (19.4% of whom had >or=1 MRI infarct).
resultsThe most significant association was found with rs2208454 (minor allele frequency, 20%), located in intron 3 of MACRO domain containing 2 gene and in the downstream region of fibronectin leucine-rich transmembrane protein 3 gene. Each copy of the minor allele was associated with lower risk of MRI infarcts (odds ratio, 0.76; 95% confidence interval, 0.68-0.84; P=4.64x10(-7)). Highly suggestive associations (P<1.0x10(-5)) were also found for 22 other single nucleotide polymorphisms in linkage disequilibrium (r(2)>0.64) with rs2208454. The association with rs2208454 did not replicate in independent samples of 1822 white and 644 black participants, although 4 single nucleotide polymorphisms within 200 kb from rs2208454 were associated with MRI infarcts in the black population sample.
conclusionsThis first community-based, genome-wide association study on covert MRI infarcts uncovered novel associations. Although replication of the association with top single nucleotide polymorphisms failed, possibly because of insufficient power, results in the black population sample are encouraging, and further efforts at replication are needed.
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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.