Evidence map›Paper›PMID 41894147›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

WDR12 and HIVEP3 are contributors to cognitive preservation in Amish SuperAgers.

Daniel Dorfsman, Michael B Prough, Alex Gulyayev, Laura J Caywood, Jason E Clouse, Sharlene D Herington, Susan H Slifer, Larry D Adams, Renee A Laux, Yeunjoo E Song and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

25 authors.

Daniel DorfsmanJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Michael B ProughJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Alex GulyayevJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Laura J CaywoodJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Jason E ClouseJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Sharlene D HeringtonJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Susan H SliferJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Larry D AdamsJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Renee A LauxDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Yeunjoo E SongDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Audrey LynnDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Sarada L FuzzellDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Sherri D HochstetlerDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Kristy MiskimenDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Leighanne R MainDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Ping WangDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Yining LiuDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Noel MooreDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Paula OgrockiDepartment of Neurology, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Alan J LernerDepartment of Neurology, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Jeffery M VanceJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Michael L CuccaroJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
Jonathan L HainesDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Margaret A Pericak-VanceJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.
William K ScottJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA.

Funding

NIA NIH HHS AG058066NIH HHS
6 · The paper itself

Abstract

introductionCognitive SuperAgers (SAs) are individuals aged 80+ with exceptional episodic memory performance for their age, exceeding middle-aged adult norms. This study integrates family- and association-based methods to identify genetic variants associated with SAs in the Midwestern Amish population.

methodsEighty-three Amish SAs were grouped into 16 pedigrees for parametric and non-parametric linkage analysis. Variants in linked regions (heterogeneity logarithm of the odds [HLOD] or Kong and Cox logarithm of the odds [LOD*] ≥ 3) were tested for association with SAs using two contrasts: SA versus Alzheimer's disease (AD; n = 40) and SA versus cognitively unimpaired (CU), age-matched non-SA individuals (CU80+; n = 157).

resultsEvidence of linkage for SAs was observed on chromosomes 1, 2, 7, 16, and 20, with the strongest signal around the AD-associated locus WDR12 on chromosome 2. Association analysis for SA versus AD identified eight variants in HIVEP3 (chromosome 1) that were nominally significant when comparing SA versus CU80+. DISCUSSION: WDR12 and HIVEP3 are potential candidate genes contributing to SAs in the Amish population.

Indexed as

AmishAged, 80 and overAlzheimer DiseaseFemaleGenetic LinkageGenetic Predisposition to DiseaseHumansMalePedigreePolymorphism, Single NucleotideAlzheimer's diseaseAmish populationassociation mappinglinkage analysisprotective variantsSuperAger

Identifiers

PMID41894147
PMCPMC13093529

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.