Evidence map›Paper›PMID 32087291›Full record

ArticleNeurobiology of disease2020

Systematic validation of variants of unknown significance in APP, PSEN1 and PSEN2.

Simon Hsu, Anna A Pimenova, Kimberly Hayes, Juan A Villa, Matthew J Rosene, Madhavi Jere, Alison M Goate, Celeste M Karch

Open access · goldAbstract read
In one paragraph

Article in Neurobiology of disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

37 citing papers in PubMed, 45 citations in OpenAlex.

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  7. Benchmarking AlphaMissense pathogenicity predictions againstBiochemistry and biophysics reports · 2025
    Article
  8. Evaluating pathogenicity of variants of unknown significance in APP, PSEN1, and PSEN2.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
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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

8 authors at 2 institutions in 1 country.

Simon HsuDepartment of Psychiatry, Washington University School of Medicine, 425 S Euclid Avenue, St Louis, MO 63110, USA.
Anna A PimenovaDepartment of Neuroscience, Mount Sinai School of Medicine, New York, NY, USA.
Kimberly HayesDepartment of Psychiatry, Washington University School of Medicine, 425 S Euclid Avenue, St Louis, MO 63110, USA.
Juan A VillaDepartment of Psychiatry, Washington University School of Medicine, 425 S Euclid Avenue, St Louis, MO 63110, USA.
Matthew J RoseneDepartment of Psychiatry, Washington University School of Medicine, 425 S Euclid Avenue, St Louis, MO 63110, USA.
Madhavi JereDepartment of Psychiatry, Washington University School of Medicine, 425 S Euclid Avenue, St Louis, MO 63110, USA.
Alison M GoateDepartment of Neuroscience, Mount Sinai School of Medicine, New York, NY, USA.
Celeste M KarchDepartment of Psychiatry, Washington University School of Medicine, 425 S Euclid Avenue, St Louis, MO 63110, USA. Electronic address: karchc@wustl.edu.
Washington University in St. Louis · USIcahn School of Medicine at Mount Sinai · US

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Tammie Lee Smith Benzinger · 1985 to 2026
$69.5M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 1985 to 2019
$52.1M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
Dominantly Inherited Alzheimer NetworkUF1AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2014 to 2017
$21.6M
Identification and characterization of AD risk networks using multi-dimensional "omics" dataU01AG052411 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CRUCHAGA, CARLOS, GOATE, ALISON M · 2016 to 2020
$4.5M
Understanding the mechanism of SPl1 dependent Alzheimer disease riskRF1AG054011 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GOATE, ALISON M · 2016 to 2016
$4.2M
USING QUANTITATIVE TRAITS TO IDENTIFY NOVEL GENES FOR ALZHEIMERS DISEASE AND OTHER COMPLEX TRAITSRF1AG053303 · NIA · WASHINGTON UNIVERSITY · PI CLIMER, SHARLEE, CRUCHAGA, CARLOS · 2016 to 2020
$4.0M
Identifying Rare Variants that Increase Risk for Alzheimer's DiseaseRF1AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2019 to 2019
$3.6M
The Familial Alzheimer Sequencing (FASe) ProjectU01AG058922 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, GOATE, ALISON M · 2018 to 2022
$3.5M
NIA NIH HHS P01 AG003991NIA NIH HHS P30 AG066444NIA NIH HHS P50 AG005681NIA NIH HHS RF1 AG044546NIA NIH HHS RF1 AG053303NIA NIH HHS RF1 AG054011NIA NIH HHS U01 AG052411NIA NIH HHS U01 AG058922NIA NIH HHS U19 AG032438NIA NIH HHS UF1 AG032438
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disease that is clinically characterized by progressive cognitive decline. More than 200 pathogenic mutations have been identified in amyloid-β precursor protein (APP), presenilin 1 (PSEN1) and presenilin 2 (PSEN2). Additionally, common and rare variants occur within APP, PSEN1, and PSEN2 that may be risk factors, protective factors, or benign, non-pathogenic polymorphisms. Yet, to date, no single study has carefully examined the effect of all of the variants of unknown significance reported in APP, PSEN1 and PSEN2 on Aβ isoform levels in vitro. In this study, we analyzed Aβ isoform levels by ELISA in a cell-based system in which each reported pathogenic and risk variant in APP, PSEN1, and PSEN2 was expressed individually. In order to classify variants for which limited family history data is available, we have implemented an algorithm for determining pathogenicity using available information from multiple domains, including genetic, bioinformatic, and in vitro analyses. We identified 90 variants of unknown significance and classified 19 as likely pathogenic mutations. We also propose that five variants are possibly protective. In defining a subset of these variants as pathogenic, individuals from these families may eligible to enroll in observational studies and clinical trials.

Indexed as

Alzheimer DiseaseAmyloid beta-Protein PrecursorHumansMutationPresenilin-1Presenilin-2Amyloid beta-Protein PrecursorPresenilin-1Presenilin-2PSEN1 protein, humanPSEN2 protein, humanAlzheimer's diseaseAPPCell-based assaysPathogenicity algorithmPSEN1PSEN2

Identifiers

PMID32087291
PMCPMC7236786
OpenAlexW3006851967

What OpenQuestion 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 OpenQuestion graph.