Evidence map›Paper›PMID 30867271›Full record

ArticleNeurology2019

Relative risk for Alzheimer disease based on complete family history.

Lisa A Cannon-Albright, Norman L Foster, Karen Schliep, James M Farnham, Craig C Teerlink, Heydon Kaddas, Joann Tschanz, Chris Corcoran, John S K Kauwe

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05597410 (Shanghai At Risk for Alzheimer's Disease), which is not on this map. Cited by 57 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 4 pooled it
–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.

NCT05597410 recruitingnot on this mapstarted 2022, after this paper: background citation

Shanghai At Risk for Alzheimer's Disease: a Cohort Study

TypeobservationalSponsorRuijin HospitalRan2022 to 2030Enrolled3,418ConditionsAlzheimer Disease, Dementia, Neurodegenerative Diseases, Cognitive Impairment
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Data Driven Stochastic Model for Detecting Patients with Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2026
    Article
  8. Multi-domain AD risk burden and plasma biomarkers in cognitively unimpaired adults.medRxiv : the preprint server for health sciences · 2026
    Article
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  15. Review
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  17. Personalized prevention of neurodegenerative diseases: scoping review and evidence gap map.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  18. Article
  19. The role of genomic-informed risk assessments in predicting dementia outcomes.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  20. The Role of Genomic-Informed Risk Assessments in Predicting Dementia Outcomes.medRxiv : the preprint server for health sciences · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lisa A Cannon-AlbrightFrom the Genetic Epidemiology Program, Department of Internal Medicine (L.A.C.-A., J.M.F., C.C.T., H.K.), Center for Alzheimer's Care, Imaging and Research, Department of Neurology (N.L.F.), and Department of Family and Preventive Medicine (K.S.), University of Utah School of Medicine; Huntsman Cancer Institute (L.A.C.-A., H.K.); George E. Wahlen Department of Veterans Affairs Medical Center (L.A.C.-A.), Salt Lake City; Department of Psychology (J.T., C.C.), Utah State University, Logan; and Departments of Biology and Neuroscience (J.S.K.K.), Brigham Young University, Provo, UT. lisa.albright@utah.edu.ORCID 0000-0003-2602-3668
Norman L FosterFrom the Genetic Epidemiology Program, Department of Internal Medicine (L.A.C.-A., J.M.F., C.C.T., H.K.), Center for Alzheimer's Care, Imaging and Research, Department of Neurology (N.L.F.), and Department of Family and Preventive Medicine (K.S.), University of Utah School of Medicine; Huntsman Cancer Institute (L.A.C.-A., H.K.); George E. Wahlen Department of Veterans Affairs Medical Center (L.A.C.-A.), Salt Lake City; Department of Psychology (J.T., C.C.), Utah State University, Logan; and Departments of Biology and Neuroscience (J.S.K.K.), Brigham Young University, Provo, UT.
Karen SchliepFrom the Genetic Epidemiology Program, Department of Internal Medicine (L.A.C.-A., J.M.F., C.C.T., H.K.), Center for Alzheimer's Care, Imaging and Research, Department of Neurology (N.L.F.), and Department of Family and Preventive Medicine (K.S.), University of Utah School of Medicine; Huntsman Cancer Institute (L.A.C.-A., H.K.); George E. Wahlen Department of Veterans Affairs Medical Center (L.A.C.-A.), Salt Lake City; Department of Psychology (J.T., C.C.), Utah State University, Logan; and Departments of Biology and Neuroscience (J.S.K.K.), Brigham Young University, Provo, UT.
James M FarnhamFrom the Genetic Epidemiology Program, Department of Internal Medicine (L.A.C.-A., J.M.F., C.C.T., H.K.), Center for Alzheimer's Care, Imaging and Research, Department of Neurology (N.L.F.), and Department of Family and Preventive Medicine (K.S.), University of Utah School of Medicine; Huntsman Cancer Institute (L.A.C.-A., H.K.); George E. Wahlen Department of Veterans Affairs Medical Center (L.A.C.-A.), Salt Lake City; Department of Psychology (J.T., C.C.), Utah State University, Logan; and Departments of Biology and Neuroscience (J.S.K.K.), Brigham Young University, Provo, UT.
Craig C TeerlinkFrom the Genetic Epidemiology Program, Department of Internal Medicine (L.A.C.-A., J.M.F., C.C.T., H.K.), Center for Alzheimer's Care, Imaging and Research, Department of Neurology (N.L.F.), and Department of Family and Preventive Medicine (K.S.), University of Utah School of Medicine; Huntsman Cancer Institute (L.A.C.-A., H.K.); George E. Wahlen Department of Veterans Affairs Medical Center (L.A.C.-A.), Salt Lake City; Department of Psychology (J.T., C.C.), Utah State University, Logan; and Departments of Biology and Neuroscience (J.S.K.K.), Brigham Young University, Provo, UT.
Heydon KaddasFrom the Genetic Epidemiology Program, Department of Internal Medicine (L.A.C.-A., J.M.F., C.C.T., H.K.), Center for Alzheimer's Care, Imaging and Research, Department of Neurology (N.L.F.), and Department of Family and Preventive Medicine (K.S.), University of Utah School of Medicine; Huntsman Cancer Institute (L.A.C.-A., H.K.); George E. Wahlen Department of Veterans Affairs Medical Center (L.A.C.-A.), Salt Lake City; Department of Psychology (J.T., C.C.), Utah State University, Logan; and Departments of Biology and Neuroscience (J.S.K.K.), Brigham Young University, Provo, UT.
Joann TschanzFrom the Genetic Epidemiology Program, Department of Internal Medicine (L.A.C.-A., J.M.F., C.C.T., H.K.), Center for Alzheimer's Care, Imaging and Research, Department of Neurology (N.L.F.), and Department of Family and Preventive Medicine (K.S.), University of Utah School of Medicine; Huntsman Cancer Institute (L.A.C.-A., H.K.); George E. Wahlen Department of Veterans Affairs Medical Center (L.A.C.-A.), Salt Lake City; Department of Psychology (J.T., C.C.), Utah State University, Logan; and Departments of Biology and Neuroscience (J.S.K.K.), Brigham Young University, Provo, UT.
Chris CorcoranFrom the Genetic Epidemiology Program, Department of Internal Medicine (L.A.C.-A., J.M.F., C.C.T., H.K.), Center for Alzheimer's Care, Imaging and Research, Department of Neurology (N.L.F.), and Department of Family and Preventive Medicine (K.S.), University of Utah School of Medicine; Huntsman Cancer Institute (L.A.C.-A., H.K.); George E. Wahlen Department of Veterans Affairs Medical Center (L.A.C.-A.), Salt Lake City; Department of Psychology (J.T., C.C.), Utah State University, Logan; and Departments of Biology and Neuroscience (J.S.K.K.), Brigham Young University, Provo, UT.
John S K KauweFrom the Genetic Epidemiology Program, Department of Internal Medicine (L.A.C.-A., J.M.F., C.C.T., H.K.), Center for Alzheimer's Care, Imaging and Research, Department of Neurology (N.L.F.), and Department of Family and Preventive Medicine (K.S.), University of Utah School of Medicine; Huntsman Cancer Institute (L.A.C.-A., H.K.); George E. Wahlen Department of Veterans Affairs Medical Center (L.A.C.-A.), Salt Lake City; Department of Psychology (J.T., C.C.), Utah State University, Logan; and Departments of Biology and Neuroscience (J.S.K.K.), Brigham Young University, Provo, UT.

Funding

Epidemiology of Alzheimer’s disease resilience and risk pedigreesRF1AG054052 · NIA · BRIGHAM YOUNG UNIVERSITY · PI KAUWE, JOHN SAI KEONG · 2016 to 2020
$3.6M
NIA NIH HHS RF1 AG054052
6 · The paper itself

Abstract

objectiveThe inherited component for Alzheimer disease (AD) risk has focused on close relatives; consideration of the full family history may improve accuracy and utility of risk estimates.

methodsA population resource including a genealogy of Utah pioneers from the 1800s linked to Utah death certificates was used to estimate relative risk for AD based on specific family history constellations, including from first- to third-degree relatives.

resultsAny affected first-degree relatives (FDR) significantly increased risk of AD (≥1 FDRs: relative risk [RR] 1.73, 95% confidence interval [CI] [1.59-1.87]; ≥2 FDRs: RR 3.98 [3.26-4.82]; ≥3 FDRs: RR 2.48 [1.07-4.89]; ≥4 FDRs: RR 14.77 [5.42-32.15]). Affected second-degree relatives (SDR) increased risk even in the presence of affected FDRs (FDR = 1 with SDR = 2: RR 21.29 [5.80-54.52]). AD only in third-degree relatives (TDR) also increased risk (FDR = 0, SDR = 0, TDR ≥3: RR 1.43 [1.21-1.68]). Mixed evidence was observed for differences in risk based on maternal compared to paternal inheritance; higher risks for men than women with equivalent family history, and higher risk for individuals with at least one affected FDR regardless of the relative's age at death, were observed.

conclusionsThis population-based estimation of RRs for AD based on family history ascertained from extended genealogy data indicates that inherited genetic factors have a broad influence, extending beyond immediate relatives. Providers should consider the full constellation of family history when counseling patients and families about their risk of AD.

Indexed as

AdultAgedAged, 80 and overAge FactorsAlzheimer DiseaseFamilyFathersFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedMothersRegistriesRisk AssessmentSex Factors

Identifiers

PMID30867271
PMCPMC6511086

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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.