Evidence map›Paper›PMID 38776079›Full record

ArticleJAMA network open2024

Genetic Complexities of Cerebral Small Vessel Disease, Blood Pressure, and Dementia.

Muralidharan Sargurupremraj, Aicha Soumaré, Joshua C Bis, Ida Surakka, Tuuli Jürgenson, Pierre Joly, Maria J Knol, Ruiqi Wang, Qiong Yang, Claudia L Satizabal and 24 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Cognition in Cardiovascular Disease.Current neurology and neuroscience reports · 2026
    Review
  2. Unravelling the genetic architecture of cerebral small vessel disease in the context of stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. White matter hyperintensity spatial patterns: Risk factors and clinical correlates.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors.

Muralidharan SargurupremrajBordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
Aicha SoumaréBordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
Joshua C BisCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle.
Ida SurakkaDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Tuuli JürgensonEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Pierre JolyBordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
Maria J KnolDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Ruiqi WangSchool of Public Health, Boston University and the National Heart, Lung, and Blood Institute Framingham Heart Study, Boston, Massachusetts.
Qiong YangSchool of Public Health, Boston University and the National Heart, Lung, and Blood Institute Framingham Heart Study, Boston, Massachusetts.
Claudia L SatizabalGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio.
Alexander GudjonssonIcelandic Heart Association, Kopavogur, Iceland.
Aniket MishraBordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
Vincent BouteloupBordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
Chia-Ling PhuahDepartment of Neurology, Washington University School of Medicine & Barnes-Jewish Hospital, St Louis, Missouri.
Cornelia M van DuijnNuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Carlos CruchagaNeuroGenomics and Informatics Center, Washington University in St Louis, St Louis, Missouri.
Carole DufouilBordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
Geneviève ChêneBordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
Oscar L LopezDepartment of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Bruce M PsatyCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle.
Christophe TzourioBordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
Philippe AmouyelINSERM U1167, University of Lille, Institut Pasteur de Lille, Lille, France.
Hieab H AdamsDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
Hélène Jacqmin-GaddaBordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
Mohammad Arfan IkramDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Vilmundur GudnasonIcelandic Heart Association, Kopavogur, Iceland.
Lili MilaniEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Bendik S WinsvoldDivision of Clinical Neuroscience, Department of Research and Innovation, Oslo University Hospital, Oslo, Norway.
Kristian HveemK. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Paul M MatthewsDepartment of Brain Sciences, Imperial College London, London, United Kingdom.
W T LongstrethDepartment of Epidemiology, University of Washington, Seattle.
Sudha SeshadriGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio.
Lenore J LaunerLaboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, Maryland.
Stéphanie DebetteBordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Mohamad Habes · 2021 to 2026
$24.0M
Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham CohortsR01AG054076 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DECARLI, CHARLES, SESHADRI, SUDHA · 2016 to 2020
$12.3M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
Prospective meta-analyses of drug-gene interactions: CHARGE GWAS consortiumR01HL103612 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2011 to 2014
$5.4M
WGA Study to Identify Genetic Variants Associated with CV Events in CHSR01HL087652 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2007 to 2009
$5.1M
NCATS NIH HHS UL1 TR001881NHLBI NIH HHS N01HC55222NHLBI NIH HHS N01HC85079NHLBI NIH HHS N01HC85080NHLBI NIH HHS N01HC85081NHLBI NIH HHS N01HC85082NHLBI NIH HHS N01HC85083NHLBI NIH HHS N01HC85086NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL103612NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL130114NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS P30 AG066546NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG031287NIA NIH HHS R01 AG033193NIA NIH HHS R01 AG049607NIA NIH HHS R01 AG054076NIDDK NIH HHS P30 DK063491NINDS NIH HHS K23 NS110927
6 · The paper itself

Abstract

Importance: Vascular disease is a treatable contributor to dementia risk, but the role of specific markers remains unclear, making prevention strategies uncertain. Objective: To investigate the causal association between white matter hyperintensity (WMH) burden, clinical stroke, blood pressure (BP), and dementia risk, while accounting for potential epidemiologic biases. Design, Setting, and Participants: This study first examined the association of genetically determined WMH burden, stroke, and BP levels with Alzheimer disease (AD) in a 2-sample mendelian randomization (2SMR) framework. Second, using population-based studies (1979-2018) with prospective dementia surveillance, the genetic association of WMH, stroke, and BP with incident all-cause dementia was examined. Data analysis was performed from July 26, 2020, through July 24, 2022. Exposures: Genetically determined WMH burden and BP levels, as well as genetic liability to stroke derived from genome-wide association studies (GWASs) in European ancestry populations. Main Outcomes and Measures: The association of genetic instruments for WMH, stroke, and BP with dementia was studied using GWASs of AD (defined clinically and additionally meta-analyzed including both clinically diagnosed AD and AD defined based on parental history [AD-meta]) for 2SMR and incident all-cause dementia for longitudinal analyses. Results: In 2SMR (summary statistics-based) analyses using AD GWASs with up to 75 024 AD cases (mean [SD] age at AD onset, 75.5 [4.4] years; 56.9% women), larger WMH burden showed evidence for a causal association with increased risk of AD (odds ratio [OR], 1.43; 95% CI, 1.10-1.86; P = .007, per unit increase in WMH risk alleles) and AD-meta (OR, 1.19; 95% CI, 1.06-1.34; P = .008), after accounting for pulse pressure for the former. Blood pressure traits showed evidence for a protective association with AD, with evidence for confounding by shared genetic instruments. In the longitudinal (individual-level data) analyses involving 10 699 incident all-cause dementia cases (mean [SD] age at dementia diagnosis, 74.4 [9.1] years; 55.4% women), no significant association was observed between larger WMH burden and incident all-cause dementia (hazard ratio [HR], 1.02; 95% CI, 1.00-1.04; P = .07). Although all exposures were associated with mortality, with the strongest association observed for systolic BP (HR, 1.04; 95% CI, 1.03-1.06; P = 1.9 × 10-14), there was no evidence for selective survival bias during follow-up using illness-death models. In secondary analyses using polygenic scores, the association of genetic liability to stroke, but not genetically determined WMH, with dementia outcomes was attenuated after adjusting for interim stroke. Conclusions: These findings suggest that WMH is a primary vascular factor associated with dementia risk, emphasizing its significance in preventive strategies for dementia. Future studies are warranted to examine whether this finding can be generalized to non-European populations.

Indexed as

Blood PressureCerebral Small Vessel DiseasesDementiaAgedAged, 80 and overAlzheimer DiseaseFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisProspective StudiesRisk FactorsStroke

Identifiers

PMID38776079
PMCPMC11112447

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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.