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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Updated: Jan 8, 2026

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
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Public Health.

Clayton O Mansel1, Soniya Mishra2, Diego R Mazzotti2

  • 1University of Kansas Alzheimer's Disease Research Center, Kansas City, KS, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 23, 2025
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Summary
This summary is machine-generated.

Polygenic scores (PGS) show a higher association with dementia prevalence. Modifiable risk factors, common in dementia patients, may influence genomic risk assessments, necessitating further study.

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Area of Science:

  • Genomics
  • Neuroscience
  • Public Health

Background:

  • Genomic risk assessments can improve dementia care through stratification and treatment prediction.
  • Polygenic scores (PGS) assess cumulative genetic risk but have lower accuracy in non-European ancestries and low socioeconomic status.
  • Gene-environment interactions, involving modifiable risk factors, may influence PGS accuracy.

Purpose of the Study:

  • To calibrate polygenic scores (PGS) for dementia risk assessment.
  • To investigate the interaction between PGS and 12 modifiable risk factors for dementia.
  • To test the hypothesis that high PGS amplifies dementia risk in individuals with cardiometabolic risk factors.

Main Methods:

  • Utilized electronic health records from the All of Us Research Program to identify dementia cases.
  • Generated polygenic scores (PGS) using whole-genome sequencing (WGS) for a subset of cases and controls.
  • Employed covariate-adjusted logistic regression to test the association between PGS and dementia diagnosis.

Main Results:

  • Of 245,366 participants, 3,222 had dementia; hypertension (87%) and depression (63%) were most prevalent.
  • A 1-standard deviation increase in PGS was associated with increased dementia diagnosis (OR: 1.29 [1.05-1.58]).
  • WGS data included diverse ancestries, with 1,491 of European ancestry.

Conclusions:

  • Most dementia patients have co-occurring cardiometabolic risk factors, potentially impacting genomic risk assessments.
  • Higher polygenic scores (PGS) are linked to dementia prevalence, aiding in identifying at-risk individuals.
  • Future research will explore PGS interactions with modifiable risk factors in the full dataset.