ArticleNature communications2024
Genetic influences on brain and cognitive health and their interactions with cardiovascular conditions and depression.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed.
- Common alleles associated with connectivity within and across the brain's main functional networks.Nature communications · 2026Article
- FM-GPT: Bayesian fine mapping for phenome-wide transcriptome-wide association studies.PLoS genetics · 2026Article
- A modifiable driver of dementia: cognitive impairment in primary aldosteronism.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Review
- Mapping genetic convergence across brain structure, mental health, and cardiometabolic disease.Communications medicine · 2026Article
- FM-GPT: Bayesian fine mapping for phenome-wide transcriptome-wide association studies.bioRxiv : the preprint server for biology · 2026Article
- Brain-body interactions in systemic diseases: a survey from an imaging perspective.MedScience · 2026Review
- Preeclampsia as a reversible risk factor for Alzheimer's disease: A prospective MRI study on morphological changes of the cerebral cortex and impairment of cognitive functions.The journal of prevention of Alzheimer's disease · 2026Article
- The association of Alzheimer's disease-related SNPs with mild cognitive impairment susceptibility in the Chinese population.Scientific reports · 2026Article
- Spatial Changes in Hippocampal Transcriptomic Profiles Following Limbic Non-convulsive Status Epilepticus: Insights into Long-Term Inflammation and Cognitive Deficits.Molecular neurobiology · 2026Article
- Transcriptomic Analysis of the Human Habenula in Schizophrenia.The American journal of psychiatry · 2025Article
- Testing the Role of Depression in the Relationship Between Socioeconomic Status and Cognitive Function Among Older Chinese Adults: Findings From the Anhui Healthy Longevity Survey.Alpha psychiatry · 2025Article
- RNA Modifications in Health and Disease.MedComm · 2025Review
- Brain Neurotrophins and Plant Polyphenols: A Powerful Connection.Molecules (Basel, Switzerland) · 2025Review
- Mendelian non-syndromic and syndromic hearing loss genes contribute to presbycusis.European journal of human genetics : EJHG · 2025Article
- Genetic Insights into Brain Morphology: a Genome-Wide Association Study of Cortical Thickness and TNeuroinformatics · 2025Article
- Math skills and microstructure of the middle longitudinal fasciculus: A developmental investigation.PloS one · 2025Article
- Spectral divergence prioritizes key classes, genes, and pathways shared between substance use disorders and cardiovascular disease.Frontiers in neuroscience · 2025Article
- Is the Relationship Between Cardiovascular Disease and Alzheimer's Disease Genetic? A Scoping Review.Genes · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Approximately 40% of dementia cases could be prevented or delayed by modifiable risk factors related to lifestyle and environment. These risk factors, such as depression and vascular disease, do not affect all individuals in the same way, likely due to inter-individual differences in genetics. However, the precise nature of how genetic risk profiles interact with modifiable risk factors to affect brain health is poorly understood. Here we combine multiple data resources, including genotyping and postmortem gene expression, to map the genetic landscape of brain structure and identify 367 loci associated with cortical thickness and 13 loci associated with white matter hyperintensities (P < 5×10
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