Evidence map›Paper›PMID 33090625›Full record

ArticleJournal of genetic counseling2020

Predictive testing for neurodegenerative diseases in the age of next-generation sequencing.

Jill Goldman, Shanghong Xie, Dina Green, Ali Naini, Mahesh M Mansukhani, Karen Marder

Open access · greenAbstract read
In one paragraph

Article in Journal of genetic counseling, 2020. 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
0.5field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Communicating and Using Dementia Risk Evidence.Journal of Alzheimer's disease : JAD · 2022
    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

6 authors at 3 institutions in 1 country.

Jill GoldmanDept. of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.ORCID https://orcid.org/0000-0002-4429-0279
Shanghong XieDept. of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Dina GreenClinical Genetics Service, Memorial Sloane Kettering Cancer Center, New York, NY, USA.
Ali NainiDept. of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Mahesh M MansukhaniDept. of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Karen MarderDept. of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Columbia University · USColumbia University Irving Medical Center · USMemorial Sloan Kettering Cancer Center · US

Funding

Center for Research on Ethical, Legal & Social Implications of Psychiatric, Neurologic & Behavioral GeneticsRM1HG007257 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI APPELBAUM, PAUL STUART · 2018 to 2021
$4.4M
A Practical Tool for Managing the Complexity of Biologics Process ManufacturingR44TR000187 · NCATS · ADVANCED PROCESS COMBINATORICS, INC. · PI PEKNY, JOSEPH F · 2014 to 2015
$1.2M
A Practical Tool for Managing the Complexity of Biologics Process ManufacturingR43TR000187 · NCATS · ADVANCED PROCESS COMBINATORICS, INC. · PI PEKNY, JOSEPH F · 2012 to 2012
$150k
NCATS NIH HHS R43 TR000187NCATS NIH HHS R44 TR000187NHGRI NIH HHS RM1 HG007257NHGRI NIH HHS RM1HG007257, NCATS UL1TR00187, Columbia University HDSA Center of Excellence
6 · The paper itself

Abstract

The availability and cost of next-generation sequencing (NSG) now allow testing large numbers of genes simultaneously. However, the gold standard for predictive testing has been to test only for a known family mutation or confirmed family disease. The goal of this study was to investigate the psychological impact of predictive testing for autosomal dominant neurodegenerative diseases without a known family mutation using next-generation sequencing panels compared to single-gene testing of a known family mutation. Fourteen individuals from families with a known mutation and 10 individuals with unknown family mutations participated. Participants completed questionnaires on demographics, genetic knowledge, and psychological measures of anxiety, depression, perceived personal control, rumination, and intolerance to uncertainty at baseline and 1 and 6 months after receiving results. Decision regret was measured 1 and 6 months after receiving results. Participants completed a modified Huntington disease genetic testing protocol with genetic counseling and neurological and psychological evaluation. Genetic testing of either the known family mutation or an NGS panel of neurodegenerative disease genes was performed. Semi-structured interviews were performed at 6 months post-results about their experience. Two-sample t tests were performed on data collected at each time point to identify significant between-group differences in demographic variables, baseline psychological scores, and baseline genetic knowledge scores. Within-group change over time was assessed by a mixed-effects model. Results of this study indicate that NGS panels for predictive testing for neurodegenerative disease are safe and beneficial to participants when performed within a modified HD protocol. Though significant differences in psychological outcomes were found, these differences may have been driven by genetic results and baseline psychological differences between individuals within the groups. Participants did not regret their decision to test and were largely pleased with the testing protocol.

Indexed as

genetic counselingneurodegenerative diseasenext‐generation sequencing panelspredictive genetic testingpsychosocial impactuncertainty

Identifiers

PMID33090625
PMCPMC10699540
OpenAlexW3092554216

What OpenQuestion holds

Textmetadata
LicenceTDM
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.